Cardiology · Artificial Intelligence · Wearables

Nico Monadian, MD

Cardiology-trained physician with subspecialty training at Erasmus Medical Centre, seeking consultant-track opportunities in the UAE — clinical depth in advanced echocardiography and heart failure, with a distinctive edge in AI-driven cardiovascular innovation.

Cardiology-trained MD · Erasmus Medical Centre · open to opportunities in the UAE
Where Data Meets Heart
AI × Cardiology
7+
Years Clinical Practice
TTE/TOE
Advanced Imaging Certified
1
Peer-Reviewed Publication
Stanford·Harvard
AI in Healthcare
Profile

Seven years of cardiology, built on a broader foundation

I trained through internal medicine into cardiology across some of the Netherlands' leading academic and teaching hospitals — Franciscus Gasthuis, Albert Schweitzer Hospital, and accredited subspecialty training at Erasmus Medical Centre, one of Europe's top-ranked university medical centres, where I completed extensive rotations in advanced echocardiography, heart failure and preventive cardiology.

Day to day, my clinical focus sits across advanced transthoracic and transoesophageal echocardiography, guideline-directed heart failure management, and preventive cardiology and lipidology — underpinned by EACVI, ESC/HFA and ESC/EAS subspecialty certification completed within the past year.

Alongside clinical practice, I hold formal AI-in-healthcare training from Stanford University and Harvard Medical School, and I'm a peer-reviewed published researcher. I'm now directing that combination — bedside cardiology experience plus a genuine grounding in applied AI — toward how wearable and AI-driven tools can support earlier, more personalised cardiovascular care, through Healthineering.

Core Competencies

Advanced Echocardiography Heart Failure Management Preventive Cardiology Lipidology Acute Cardiac Care Risk Stratification AI-Enabled Diagnostics Clinical Research Epic & HiX EHR

Languages

EnglishFLUENT
DutchFLUENT
GermanBUSINESS
Italian / FrenchFAIR
ArabicBASIC
Experience

Clinical background

Progressive training across internal medicine and cardiology in leading Dutch academic and teaching hospitals.

2023 — 2026

Cardiology Registrar, Accredited Subspecialty Training

Erasmus Medical Centre, Rotterdam

Advanced TTE/TOE echocardiography, guideline-directed heart failure management, preventive cardiology and lipidology at one of Europe's leading academic medical centres — the clinical foundation for current work in AI-driven cardiovascular diagnostics.

2022 — 2023

Cardiology Registrar

Albert Schweitzer Hospital, Dordrecht

Full inpatient and outpatient cardiology caseload, echocardiographic assessment and acute cardiac decision-making.

2020 — 2022

Internal Medicine Registrar

Franciscus Gasthuis, Rotterdam

Broad, multi-morbid inpatient care through a demanding COVID-era hospital environment — the diagnostic foundation for current cardiology practice.

2016 — 2019

Investigator, Pharmacy & Cardiology Department

Erasmus Medical Centre, Rotterdam

Peer-reviewed research on drug-induced QTc prolongation; contributor to the Halt & Reverse atrial fibrillation and aortic stenosis mapping trial.

2011 — Present

Co-Founder & Director of Research and Technology, Healthineering

Health & Human Sciences Engineering

Health-promotion and digital health-literacy initiatives from 2011; now redirected toward AI-driven cardiology diagnostics and wearable-integrated risk modelling.

Research

Publications

British Journal of Clinical Pharmacology · 2018

QTc prolongation during ciprofloxacin and fluconazole combination therapy: prevalence and associated risk factors

Berger FA, Monadian N, de Groot NMS, Santbergen B, van der Sijs H, Becker ML, Broers AEC, van Gelder T, van den Bemt PMLA · Br J Clin Pharmacol. 2018;84(2):369–378 · PMID: 29057492

An observational study quantifying how often the combination of ciprofloxacin and fluconazole — commonly used as infection prophylaxis in haematology patients — prolongs the QTc interval, and which patient factors carry the greatest risk. The findings fed directly into safer antimicrobial-prescribing practice around cardiac risk.

Credentials

Certifications & subspecialty training

AI in Healthcare
Stanford University2026
EACVI — Transoesophageal Echo (TOE)
EACVI / ESC2025
ESC/EAS Advanced Lipidology
ESC / EAS2025
EACVI — Transthoracic Echo (TTE)
EACVI / ESC2025
ESC/HFA Heart Failure Certification
HFA2025
AI in Health Care
Harvard Medical School2025
Fundamental Critical Care Support
SCCM2019
Advanced Life Support
ERC2019–2027
Master's Degree in Medicine (MD)
Erasmus University Rotterdam2018
Also Exploring

AI & Cardiology, in combination with wearables

"The next decade of cardiology will be defined less by new hardware and more by how intelligently we use the signal we already collect — from the echo probe to the wrist."

Signal Intelligence

Wearable ECG, PPG and activity data are rich enough to support earlier, more individualised risk detection than most current workflows use. The opportunity is extracting clinically meaningful signal from continuous, everyday data — not just episodic snapshots.

Predictive Risk Modelling

Combining wearable-derived signals with clinical history and imaging findings to move cardiology from episodic, reactive evaluation toward personalised, continuous risk profiling — surfacing deterioration earlier, before symptoms present.

Clinician-in-the-Loop Design

Decision-support tools should sit naturally alongside the clinician, not replace clinical judgement. My interest is in translating promising models into practice that physicians actually trust and patients actually benefit from.

This is a side interest I explore through a personal project, Healthineering — building on formal AI training from Stanford and Harvard alongside hands-on subspecialty experience in heart failure, preventive cardiology and advanced imaging. My primary focus remains hands-on clinical cardiology; for questions about this work, see healthineering.org.