Andreas Ioannou is an expert in Cardiology at The Royal Free Hospital (United Kingdom). As of October 2026, ScienceLeadR ranks Andreas Ioannou in the top 1% of experts worldwide for Proteostasis Deficiencies. Andreas Ioannou has authored 207 publications, the most recent in 2026, and is an investigator in 2 clinical trials. SLR score: 786 (community average: 125). How the SLR is computed.

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Andreas Ioannou The Royal Free Hospital United Kingdom
786 ScienceLeadR Reputation 786
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Cardiology

Subspecialties: Medical Imaging - Biochemistry - Hematology

Full career – Last 3 years

Main Topics

Publications and Clinical Studies

Publications – Clinical Studies

Profile data updated on

Organizations

Career arc: 2015 - 2026

Source: PubMed

The Royal Free Hospital

Publications Synthesis

Sources: PubMed, OpenAlex

Number : 207

Citations

Citations: 3 018 1st author: 53 Last author: 3 Unique author: 18


Breakdown by type

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Latest Publications

5 most recent indexed articles

Source: Pubmed

Title Journal Year Citations
Fully automated analysis of cardiotoxicity surveillance echocardiograms: a direct test-retest precision comparison with experts.
PMID 42707651 — research design, intelligence, heart, neoplasms, cardiotoxicity, echocardiography, diagnosis, therapeutics, software, artificial intelligence
Eur Heart J Imaging Methods Pract20260
Prevalence and Determinants of Asymmetric Septal Hypertrophy (ASH) in Diseases of Left Ventricular Hypertrophy (LVH).
PMID 42544038 — hypertrophy, left ventricular, hypertrophy, cardiomyopathy, hypertrophic, amyloidosis, prevalence, sex, demography
Eur Heart J Cardiovasc Imaging20260
Exploration of Arrhythmia Burden in Cardiac Amyloidosis Using Implantable Loop Recorders - The EXCALIBUR study.
PMID 42201646 — arrhythmias, cardiac, phenotype, cardiology, amyloidosis, amyloid, cardiomyopathies, transthyretin amyloid cardiomyopathy
J Am Coll Cardiol20260
Diagnosis of Cardiac Amyloidosis on Echocardiography Using Artificial Intelligence.
PMID 41674454 — research design, intelligence, phenotype, diagnostic imaging, amyloidosis, deep learning, echocardiography, diagnosis, learning, artificial intelligence
Circ Cardiovasc Imaging20260
Artificial intelligence-based echocardiographic assessment for monitoring disease progression in transthyretin cardiac amyloidosis.
PMID 41098006 — intelligence, mortality, heart failure, disease progression, prealbumin, amyloidosis, echocardiography, artificial intelligence, transthyretin amyloid cardiomyopathy, transthyretin cardiac amyloidosis
Eur J Heart Fail20259

Clinical Studies 2

Sources: ClinicalTrials, EU CTIS

Synthesis

By phase:

N/A 2

By status:

Completed 1
Recruiting 1

By type:

Observational 2

By Monocentric/Multicentric:

monocentric 2
multicentric2to4 0
multicentric5to9 0
multicentricup10 0

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