Powerful Medical Receives €40 Million IPCEI Grant — read the full story

Powerful Medical
4. August 2023

ECG Reader: AI-powered Expert Interpretation App

In the fast-paced world of modern medicine, time and accuracy are paramount, especially for cardiovascular diagnoses. Electrocardiography (ECG) remains a crucial diagnostic tool for assessing heart function, detecting abnormalities, and guiding treatment decisions. It is estimated that 1.5 million to 3 million ECGs are performed worldwide every day.

This article explores how AI ECG interpretation differs from traditional ECG automation based on conditional-based algorithms (if-then-else) that have been used since the 1970s. We also introduce PMcardio, an AI-powered interpretation platform clinically validated and certified to diagnose 39 cardiovascular diseases from any 12-lead ECG strip in seconds.

AI-powered ECG Reader vs Automated ECG Interpretation

As technology continues to shape the healthcare landscape, the emergence of automated ECG interpretation has opened new doors for efficiency and precision. The latest advances in machine learning algorithms and deep neural networks have enabled the rise of AI-powered ECG interpretation, which no longer carries the limitations of rigid conditional-based algorithms (if-then-else) that remain relatively inaccurate despite their maturity.

With AI-based solutions like PMcardio, AI ECG interpretation utilizes machine learning and deep neural networks, allowing it to to learn from the data and create its own rules for interpreting ECGs. No patterns are directly given as input; any patterns are learned in the process of training.

By crunching millions of previous ECGs in a matter of hours, the machine can spot and learn even very subtle patterns possibly missed by the human eye.

To illustrate this on a practical example, PMcardio’s deep neural network (deep learning algorithm) model has been trained on a total of 931,344 standard 12-lead ECGs from 172,750 patients to detect 39 individual diagnoses of heart rhythms, heart blocks, infarctions, hypertrophies, and ectopies among others.

Our CMO, Robert Herman, MD, discusses the future roadmap for leveraging AI ECG interpretation on the Mayo Clinic podcast.

How AI-powered ECG Reader Works

PMcardio is an advanced ECG reader equipped with state-of-the-art AI technology and machine learning algorithms. It is designed for healthcare professionals, including general practitioners, nurses, paramedics, and other medical personnel. It can digitize and then interpret any 12-lead ECG strip within seconds, streamlining the ECG interpretation process. Clinically tested and certified, It provides rapid, accurate results and offers a treatment plan based on the latest ESC guidelines within seconds. 

Digitise and interpret any 12-lead ECG in under 5 seconds

Compared to fixed algorithms standardly deployed with ECG devices, By learning from millions of complex cases and patient outcomes across multiple cohorts, the AI algorithm in the ECG reader app can recognize even subtle patterns that human experts and condition-based algorithms might miss.

With PMcardio, you can expect the following: 

1.) Read and Diagnose your 12-lead ECG Waveform in Seconds

Gone are the days of laborious manual ECG interpretations. Thanks to PMcardio, the entire process can be automated, providing instant analyses and significantly reducing waiting times, leading to optimized patient care. This unique ECG reading app can diagnose and suggest personalized and guideline-adherent treatment for 39 different cardiovascular diseases within 5 seconds, matching a skilled cardiologist’s precision.

Latest International OMI AI ECG Model validation published in European Heart Journal:

European Heart Journal: Clinical Validation Study of the PMcardio OMI AI Model

2.) ECG Reader with Accuracy Matching Expert Cardiologist

Imagine having an expert cardiologist with three decades of experience at your disposal—that is what we offer. Leveraging AI and machine learning, PMcardio’s algorithms have been trained on an extensive data set of a million ECG cases, resulting in superior diagnostic precision.

PMcardio’s deep neural network (deep learning algorithm) model has been trained on 931,344 standard 12-lead ECGs from 172,750 patients to detect 39 individual diagnoses of heart rhythms, heart blocks, infarctions, hypertrophies, and ectopies.

ECG-reader-AI-ECG-interpretation-validation-pmcardio
Our Clinical Validation of 20 Essential Diagnostic Patterns published in ELSEVIER: Journal of Electrocardiology

3.) Clinically Approved and Certified Medical Device 

PMcardio is a clinically validated CE-certified Class II(b) Medical Device (EU MDR) trusted by over 25,000 healthcare professionals across Europe. Available in the United Kingdom, Germany, France, Italy, Netherlands, Belgium, Switzerland, Poland, Austria, Portugal, Ireland, Croatia, Cyprus, Luxembourg, Malta, and Liechtenstein. Additionally, we are in the process with the FDA authorities to become clinically approved for use in the United States.

PMcardio: International Clinical Validations & Research

PMcardio: ECG Reader Redefining ACS Patient Pathway

Every year, emergency departments in Europe and the USA receive over 50 million patients experiencing chest pain. Regrettably, the current standard of care, which relies on ST-elevation criteria in ECG readings, fails to accurately detect acute coronary occlusion in 25-30% of NSTEMI patients, thereby delaying crucial interventions. Hospitals also suffer from 15-20% false positive cath lab activation rates due to false positive ST-elevation criteria. 

To address this issue, integrating Artificial Intelligence (AI) into ACS pathways represents a significant advance in precision medicine, specifically tackling the challenge of providing accurate early diagnoses of heart conditions.

An international study featured in the European Heart Journal – Digital Health clinically validates the OMI AI model of PMcardio, an AI-powered ECG Interpretation platform that significantly enhances the detection of acute occlusive myocardial infarction, setting new diagnostic standards in emergency cardiac care.

ECG reader OMI AI Model international validation
The OMI AI ECG model, specifically targeting acute occlusion myocardial infarction (OMI), was developed using a comprehensive dataset of 18,616 ECGs from 10,543 patients suspected of ACS, sourced from an international database with angiographically confirmed outcomes. 

The study further reveals that the AI ECG model exhibits superior performance compared to conventional STEMI criteria and expert assessments. With an Area Under the Curve (AUC) of 0.938 for detecting occlusive myocardial infarctions, it achieves an accuracy of 90.9%, a sensitivity of 80.6%, and a specificity of 93.7%. These metrics exceed traditional criteria in identifying the most subtle forms of STEMI and STEMI equivalents and the capabilities of experienced ECG experts, representing a significant leap forward in cardiac diagnostics.


Bridging the Expertise Gap in Emergency Medical Services with AI ECG Readers

Inadequate ECG interpretation training among emergency medical staff can lead to critical misdiagnoses and severe patient care consequences, including inappropriate treatments and potentially fatal outcomes. AI ECG interpretation streamlines this process by allowing emergency personnel to capture a snapshot of any 12-lead ECG strip with their smartphones, with the AI promptly providing a comprehensive interpretation.

AI ECG: A Paradigm Shift in Cardiac Care

The integration of AI in cardiology and ECG analysis has redefined benchmarks in cardiac management. The PMcardio platform enhances diagnostic accuracy and speeds up medical responses, potentially saving lives and improving care for millions of patients worldwide. As a certified Class IIb medical device, it quickly digitizes and analyzes any 12-lead waveform strip.

Are you a healthcare professional eager to test its capabilities? Sign up now and claim your five free ECG reports—no credit card required.

ECG Reader: AI-powered Expert Interpretation App
ECG Reader: AI-powered Expert Interpretation App

Read your next ECG with AI

Be part of a future where cardiac care is smarter, faster, and more accessible. Sign up now and enjoy PMcardio with 5 FREE ECGs/month – no credit card needed. 

ECG Reader: AI-powered Expert Interpretation App
ECG Reader: AI-powered Expert Interpretation App

FAQ: AI-powered ECG Reader App

How does AI-powered ECG interpretation work?

AI utilizes machine learning and deep neural networks to interpret ECGs. Unlike traditional methods that rely on predefined rules and pattern recognition, AI systems learn from large datasets of previous ECGs, identifying patterns and correlating them with outcomes. This allows AI to detect subtle abnormalities that might be missed by human eyes.

What is the AI on the ECG?


Artificial intelligence (AI) applied to electrocardiogram (ECG) interpretation employs advanced machine learning and deep learning techniques. This AI-driven approach excels in pattern recognition, rapidly identifying subtle cardiac abnormalities from vast datasets of ECG records. Unlike traditional methods that depend on static rules, AI algorithms continually learn and adapt, improving their diagnostic accuracy over time. This not only speeds up the diagnostic process, which is crucial in urgent care settings, but also supports clinicians by providing precise, scalable, and automated ECG interpretations, thereby improving patient outcomes and broadening access to expert-level cardiac care.

What app reads ECG?

PMcardio is an AI ECG interpretation app that reads ECGs. It quickly and accurately diagnoses up to 39 cardiovascular conditions from any 12-lead ECG. Certified for use by healthcare professionals, PMcardio enhances cardiac care by providing reliable diagnostics and treatment recommendations within seconds.

Can ChatGPT read an ECG?

While ChatGPT-4 Plus has shown some capability in interpreting ECG images in test settings, it is not a reliable tool for clinical ECG analysis. The interpretation of ECGs demands precise, expert evaluation, and AI chatbots like ChatGPT do not meet the necessary standards for medical diagnostics. For accurate and dependable ECG interpretation, consider using specialized AI solutions like PMcardio, designed to deliver expert-level diagnostics with high accuracy and speed.

Powerful Medical

Powerful Medical leads one of the most important shifts in modern medicine by augmenting human-made clinical decisions with artificial intelligence. Our primary focus is on cardiovascular diseases, the world’s leading cause of death.
Powerful Medical leads one of the most important shifts in modern medicine by augmenting human-made clinical decisions with artificial intelligence. Our primary focus is on cardiovascular diseases, the world’s leading cause of death.
About PMcardio:

PMcardio is a CE-certified AI that reads ECGs and offers a complex assessment of 49 cardiac conditions. Clinically validated in 15+ studies and trusted by over 100,000 clinicians, it delivers rapid, expert‑level interpretations, empowering emergency physicians, GPs, nurses, paramedics, and cardiologists to act with confidence at the point of care. Available for Individuals and Organizations.

Share this article

Don't miss these

Powerful Medical team receiving the MedTech Innovator 2025 Mid-Stage Grand Prize award on stage, holding a large winner’s check.

Powerful Medical Wins MedTech Innovator 2025

Powerful Medical has been named MedTech Innovator 2025, winning MTI’s Mid-Stage Grand Finals—top honor from the world’s largest medtech accelerator. The award recognizes PMcardio and its FDA Breakthrough-designated Queen of Hearts™ AI ECG technology, which doubles sensitivity for detecting severe heart attacks and significantly cuts ECG-to-balloon time in large clinical trials.

PMcardio Reports Positive RCT Results and Late-Breaking Clinical Science for STEMI Detection

PMcardio’s AI-powered ECG technology delivers breakthrough results at TCT 2025—improving heart attack detection, reducing false activations, and enabling faster treatment across major clinical trials, including the landmark DIFOCCULT-3 RCT.

Join over 100,000 healthcare professionals who are already taking advantage of AI

Suites

Five suites.
One platform.
The full cardiac care journey.

PMcardio’s clinical suites cover the full spectrum of cardiac care — from acute emergency detection to longitudinal monitoring. Deploy the suites that match your priorities today, expand as your needs grow.

Minutes matter

Acute Care Suite

AI-powered detection and pathway coordination for time-critical cardiac events — including STEMI and OMI, pulmonary embolism / RV strain, and hyperkalemia.

  • stemi/OMI
  • pe/RV strain
  • hyperK

Find what ECGs Hide

Echo Screening Suite

AI-powered screening for structural heart disease directly from a 12-lead ECG — detecting reduced LVEF, aortic stenosis, HCM, and other SHD conditions that traditional ECG interpretation misses.

  • lvef
  • aortic stenosis
  • hcm

Ambulatory, automated

Remote Monitoring Suite

AI-powered analysis of ambulatory ECG recordings — Holter monitors, cardiac patches, and other continuous monitoring devices — with automated findings and longitudinal tracking.

  • holter
  • cardiac patches
  • arrhythmia burden

Beyond the clinic

Patient Suite

AI-powered ECG interpretation for consumer wearables and patient-facing devices — extending cardiac care beyond the clinic into everyday life.

  • wearable ECG Analysis
  • PPG Analysis

On-table intelligence

Angio Suite

AI-powered analysis of coronary angiography — automated stenosis quantification, TIMI frame count, guide wire detection, and myocardial blush grading in near real-time.

  • vessel segmentation
  • stenosis quant.
  • timi frames
  • blush grading

Governance, customization & configuration

Align the platform to your protocols — without a custom software project.

Configure escalation thresholds, roles, and reporting to match local pathway rules — while maintaining system-wide governance and consistency.

  • Configurable triggers, roles, and escalation workflows
  • Custom dashboards and views aligned to leadership needs
  • Controlled expansion to additional pathways over time

Outcomes, QA & performance intelligence​

Measure what matters — across every pathway, every site.

Turn pathway execution into dashboards and reporting that help leadership reduce variation, optimize time-to-treatment, and demonstrate value across every deployed suite.

  • Cross-site, cross-pathway, and team-level benchmarking
  • Time-to-treatment and pathway quality tracking
  • QA workflows, audit trails, and leadership reporting
  • Registry-aligned reporting support (NCDR Chest Pain-MI, AHA GWTG, and more)

Escalation & care coordination

Real-time routing that matches how your system actually runs.

Route critical cases to the right team with role-based notifications, escalation logic, and shared case context — across EMS, ED, cardiology, cath lab, and inpatient care.

  • Role-based alerting and escalation across departments and sites
  • Shared case context so receiving teams have what they need before the patient arrives
  • Integration with existing communication and alerting tools

AI-powered decision support

Clinically validated AI that spans the cardiac care journey.

Run multiple AI models on every recording — acute detection, screening, procedural quantification — with interpretable outputs and case-level explainability.

  • Queen of Hearts™ for STEMI/OMI detection
  • LVsense™ for reduced ejection fraction
  • Culprit Artery Prediction for pre-cath planning
  • Core AI for comprehensive rhythm and conduction analysis
  • Expanding model portfolio across Echo Screening, Remote Monitoring, and Angio Suites

Interoperability & deployment

Connect across your existing systems — without replacing them.

Ingest pathway-critical inputs from across your network and IT landscape, and deliver results where teams already work. Built for system-wide rollout with enterprise deployment patterns.

  • Connect to ECG devices, angiographic systems, and ambulatory monitors across sites
  • Launch PMcardio from the EHR / CVIS with secure links and SSO
  • Send results back to clinical systems where care is documented

All Supported ECG Findings

Rhythms
Sinus bradycardia • Sinus rhythm • Sinus tachycardia • Paced rhythm • Atrial fibrillation
Atrial fibrillation with rapid ventricular response • Atrial fibrillation with slow ventricular response • Atrial flutter • Atrial flutter with rapid ventricular response • Atrial flutter with slow ventricular response • Supraventricular tachycardia • Suspected junctional rhythm • Suspected junctional bradycardia • Suspected accelerated junctional rhythm • Wide QRS rhythm • Idioventricular rhythm • Wide QRS tachycardia

Myocardial Infarctions

  • STEMI
  • STEMI Equivalent
    Equivalent
Detects occlusive myocardial infarctions (OMIs) even without ST elevation (i.e. posterior STEMI, hyperacute T-waves, etc.). Negative for STEMI mimics (i.e. early repolarization, LVH, etc.)
  • High-Risk NSTEMI
    Represents a type 1 myocardial infarction caused by a transiently recanalized coronary occlusion—classically seen in patterns such as Wellens type A or B due to subtotal LAD obstruction, but possible in any infarct-related territory.
  • Culprit Detection
    AI-predicted likelihood scores for LAD, LCx, and RCA with 3D heart visualization highlighting the predicted culprit artery.

Conduction Abnormalities (Heart Blocks
1st degree AV block • 2nd degree AV block, type Wenckebach • Higher degree AV block • Complete right bundle branch block • Incomplete right bundle branch block • Complete left bundle branch block • Incomplete left bundle branch block • Nonspecific intraventricular conduction delay • Left anterior fascicular block • Left posterior fascicular block • Bifascicular block (RBBB + LAFB) • Bifascicular block (RBBB + LPFB) • Trifascicular block (RBBB + LAFB + AVBLOCK1) • Trifascicular block (RBBB + LPFB + AVBLOCK1)

LVEF
Reduced LVEF (≤40%) • Mildly reduced LVEF (41 – 49%) • No signs of reduced LVEF (≥50%)

Axis
Left cardiac axis deviation • Right cardiac axis deviation • Extreme cardiac axis deviation • Normal axis

Measurements
Heart rate • P wave • PR interval • QRS duration • QT interval • Corrected QT interval (Framingham formula) • RR interval • PP interval • ST elevations

Other Supported Diagnoses
Suspected long QT syndrome • Suspected short QT syndrome • Suspected atrial enlargement • Suspected ventricular hypertrophy • Premature complexes

Certain AI ECG Modules are CE-marked medical devices under EU MDR and only certified for marketing in the European Union and the United Kingdom. Powerful Medical technology has not yet been cleared or approved by the US Food and Drug Administration (FDA) for marketing in the USA. Not all modules of the PMcardio platform may be available in your region.

Dr. Tom De Potter, MD

Cardiologist at the Cardiac Center Aalst

Cardiologist specializing in Pacemaker Device Therapy and Electrophysiology. Leads the electrophysiology unit at the Heart Center in Aalst, holds an executive board position at the European Heart Academy, and serves as EHRA scientific program committee co-chair.

Dr. Martin Penicka, MD, PhD

Cardiologist at the Cardiac Center Aalst

Cardiologist at the Cardiac Center Aalst since 2009, specializing in non-invasive imaging and valvular disease. Fellow of the European Society of Cardiology (FESC) and the European Association of Cardiovascular Imaging (FEACVI).

Dr. Ward Heggermont, MD, PhD

Co-director at the Cardiovascular Center

Co-director at the Cardiovascular Center of Aalst Hospital, specializing in heart failure. Research focus at the intersection of cardiology, virology, and metabolism.

Prof. Dr. Robert Hatala, PhD

Co-founder and Chief Scientist

Head of the Arrhythmia and Pacing department at the National Institute of Cardiovascular Diseases in Slovakia. More than 150 publications and 10,000 citations. Contributor to ESC clinical practice guidelines and executive editor of the European Heart Journal since 2020.

Arieh Levy

Head of PMcardio for Individuals

Arieh leads the PMcardio for Individuals product at Powerful Medical, guiding its development as a clinical tool for emergency physicians, cardiologists, and primary care physicians. He holds a First Class MEng in Biomedical Engineering from Imperial College London, where he specialised in AI for cardiology, building physics-informed neural networks to model atrial electrical properties, giving him a background that bridges the clinical and technical demands of building a certified AI medical device used at the bedside every day.

Dr. Dave Pearson, MD​

Business Advisor

Academic emergency medicine physician, entrepreneur, investor, and researcher with nearly two decades at Atrium Health, one of US largest health systems. Brings expertise at the intersection of clinical care, healthcare innovation, and strategic leadership.

Prof. Stephen W. Smith, MD

Professor of Emergency Medicine

Faculty physician in Emergency Medicine at Hennepin County Medical Center and Professor of Emergency Medicine at the University of Minnesota. Co-inventor of the OMI paradigm and editor of Dr. Smith’s ECG Blog, the most-visited US-based ECG interpretation blog.

Prof. Emanuele Barbato, MD, PhD

President of EAPCI

Interventional cardiologist specializing in coronary artery disease and coronary physiology. Acting president of the European Association of Percutaneous Cardiovascular Interventions (EAPCI) and contributor to the clinical practice guidelines for STEMI care.

Scott Sharkey, MD

Chief Medical Officer

Chief Medical Officer of the Minneapolis Heart Institute Foundation and practicing cardiologist at Allina Health Minneapolis Heart Institute. Co-founder of the STEMI Midwest consortium and Takotsubo cardiomyopathy research program and a widely published clinical investigator in STEMI care.

Prof. Dr. Leor Perl, MD

Director of Cardiac Catheterization Institute

Director of Complex Cardiac Interventions and Chief Innovation Officer at Rabin Medical Center. Graduate of the Stanford Biodesign Program.

Suzanne J. Baron, MD, MSc

Director of Interventional Cardiology Research

Director of Interventional Cardiology Research at Massachusetts General Hospital. Holds a Master’s degree in health economics from Harvard School of Public Health. Expert in cardiovascular device impact on healthcare costs and patient-reported outcomes.

Prof. Marco Valgimigli, MD

Deputy Chief Cardiocentro Ticino Institute

Head of Cardiology at Cardiocentro Ticino and Principal Investigator of the TITAN-OMI randomized controlled trial. His research has shaped both European and US clinical practice guidelines on coronary stents, antithrombotic therapy, and vascular access.

Timothy D. Henry, MD

Medical Director of The Carl and Edyth Lindner Center

Leading expert in interventional cardiology and STEMI treatment. Co-founder and principal investigator of the Midwest STEMI Consortium, a registry of more than 20,000 consecutive STEMI activations. Presenting author for the TCT 2025 Late-Breaking Clinical Science on Queen of Hearts.

Matus Horvath

Head of People

Matus leads hiring strategy and culture at Powerful Medical, bringing a strong track record of building and scaling high-performing teams. He previously ran the People Team at Slido, the SaaS startup acquired by Cisco, where he played a key role in scaling a fast-growing, values-driven organization. His broader experience now shapes Powerful Medical’s growth, culture, and talent strategy.

Dr. Timea Kisova, MD

Clinical Research Lead

Timea leads Powerful Medical’s global external validation studies, including the multi-country AI ECG TIMI Study. With a background in biomedical sciences and a medical degree from Barts and The London School of Medicine and Dentistry, she brings the clinical discipline required to generate the prospective, real-world evidence behind every PMcardio module.

Dr. Anthony Demolder, MD, PhD

HF Pathway Lead

Research physician with a PhD on arrhythmias in heritable thoracic aortic disease. He has led international studies at the intersection of cardiology and AI — including earlier work on atrial fibrillation at AZ Sint-Jan Brugge — and now drives Powerful Medical’s heart failure pathway and LVsense™ AI model development.

Dr. Pendell Meyers, MD

ACS Pathway Lead

Emergency medicine physician, prolific educator, and Co-Editor of Dr. Smith’s ECG Blog. He is one of the leading voices behind the Occlusion Myocardial Infarction (OMI) paradigm, the clinical framework that reshaped how heart attacks are identified from the ECG — and which sits at the core of the Queen of Hearts™ model.

Adam Dej

Head of PMcardio for Organizations Engineering

Adam leads engineering for PMcardio for Organizations at Powerful Medical, driving platform architecture, backend systems, and infrastructure behind one of the company’s key growth products. He began programming at 13, entered professional IT at 17, and studied computer security at Comenius University’s Faculty of Mathematics, Physics and Informatics. Known for technical depth across distributed systems, infrastructure, and security, he builds scalable and resilient software with a sharp focus on customer impact. He also champions responsible use of AI and LLMs as force multipliers for modern engineering teams.

Gabriela Rovder Sklencarova

Head of Infrastructure

Gabriela designs the scalable, secure, distributed systems that keep PMcardio running around the clock for clinicians worldwide. She joined from Google, where she was a senior software engineer building core libraries that kept Google’s services resilient against billions of requests, and holds a BA and MA in Computer Science from the University of Cambridge.

Arezou Azar

US and Global Regulatory

Arezou leads Powerful Medical’s global regulatory strategy across the FDA, EU MDR, and international frameworks. She has been part of nearly every major breakthrough in AI cardiology and is an expert in US and global regulatory strategy, SaMD/digital health launches, with experience at Eko Health, Verily, AliveCor, Cardiologs, and Apple. She specializes in regulatory strategy in high-paced global organizations.

Adam Rafajdus

Head of AI

Adam is the Head of AI at Powerful Medical, working across the full lifecycle of bringing AI into clinical practice – from data infrastructure and model development to regulatory clearance. He leads the team behind the Queen of Hearts™ AI ECG models, the company’s ECG digitization pipeline, and its broader AI portfolio. Focused on AI since university, Adam joined as an MLOps Engineer and has grown into his current role over six years.


Mike Wall

VP of Sales

Mike brings more than twenty years at UnitedHealth Group to the table, where he served health plans, employer groups, and public-sector entities as a consultative healthcare sales executive. He combines market intelligence, clinical insight, and financial acumen — the three ingredients needed to bring AI-powered diagnostics into US health systems at scale.

Amani Farid

Head of Strategic Partnerships

Amani leads partnership strategy with a hands-on approach to integration, unlocking long-term value through collaboration and scale. A University of Chicago Law School-trained attorney and former M&A and capital markets associate at two top international law firms, she brings the rare combination of legal precision and commercial execution refined across nearly a decade at Stryker and as VP of Corporate Development at RapidAI — spanning medtech, digital health, and AI-driven diagnostics.

Michal Martonak

Commercial Lead

A mathematician by training, Michal leads commercial strategy, go-to-market, and strategic partnerships with healthcare providers and clinical institutions worldwide. He previously built Powerful Medical’s data and clinical partnerships function, acquiring the large-scale clinical datasets that underpin the company’s certified AI models.

Dr. Jozef Bartunek, MD, PhD

Co-founder and VP Clinical Strategy

Interventional cardiologist and Co-director of the Cardiovascular Center in Aalst, Belgium — one of the world’s leading heart centers. A Fogarty International NIH Fellow at Harvard Medical School and visiting Professor of Medicine at Catholic University Leuven, he has authored more than 240 peer-reviewed publications in heart failure and structural heart disease, and anchors Powerful Medical’s clinical and research strategy.

Simon Rovder

Co-founder and CTO

Simon began his engineering career at Microsoft and holds a Master’s degree in Informatics from the University of Edinburgh. He built and scaled Powerful Medical’s technology organization from the ground up to a team of 20+ engineers, leading the architecture of a CE-certified Class IIb medical device now deployed in hospitals across Europe.

Viktor Jurasek

Co-founder and CPO

Viktor was modding computer games before his teens and has spent the last decade shipping digital products across advertising, finance, and healthcare. As co-founder and CPO, he has led PMcardio’s product and design since the first prototype, setting the bar for how a clinical-grade tool should feel in a physician’s hands — fast, clear, and trustworthy at the point of care.

Felix Bauer

Co-founder and COO

Felix was part of the Hyperloop team that repeatedly competed and won in Elon Musk’s SpaceX Hyperloop Pod Competition. He holds a degree from the Technical University of Munich and brings a rare combination of engineering rigor, regulatory discipline, and operational excellence to the company, spearheading operations, compliance, regulatory, quality management, and global market access since day one.

Dr. Robert Herman, MD, PhD

Co-founder and Chief Medical Officer

Robert is a physician-scientist who served on the Research, Digital and Innovation Committee of the European Society of Cardiology. He bridges medicine and AI, connecting clinicians, researchers, regulators, and trial leaders to translate algorithms into clinical practice. He founded multiple AI ECG models, leads international clinical trials validating them, is a recipient of the Journal of the American College of Cardiology Spencer King Award, and was named to Forbes 30 Under 30 Europe 2024.

Martin Herman

Co-founder and CEO

Martin started coding at 14 and moved to Silicon Valley at 18, founding several companies including a US-based startup before returning to Europe with his brother Robert to build Powerful Medical. He comes from a family of doctors, which shaped his conviction that AI belongs wherever it can genuinely save lives. Forbes 30 Under 30 (Europe 2024).

Heart Attacks are #1 cause of death world-wide and killing about 12 milions people a year.

Clinical Definition of Problem

Contrary to popular belief, a heart attacks isn’t a blockage inside of the heart. A heart attack is a blockage of the coronary arteries supplying the heart muscle with oxygenated blood.

So let’s assume you get a blood clot here — it blocks the blood flow downstream, meaning the heart muscle doesn’t get oxygenated blood and heart tissue downstream starts to die.

Clinical Solution​

The way to fix it is relatively simple – doctors put in a stent that opens up the artery and renews blood flow. The latest clinical practice guidelines recommend that this “stenting” happens within 90 minutes from symptom onset.

If you don’t, even if you put in the stent in later, the heart tissue downstream has already been permanently damaged, which reduces the heart’s ability to pump blood. This is the leading cause of heart failure and increases 1-year mortality by two-fold.

Time is muscle.

You have just 90 minutes to diagnose the patient, bring them to the hospital and put in the stent, otherwise there is permanent damage. So problem is, that 1 in 2 heart attacks get initially misdiagnosed at the first point of contact.

Discover the future of medical work with us.

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.