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Semmelweis University

53.561 Arbeiten3.200.594 Zitationen
Land: HUTyp: education

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database

Stan Benjamens, Pranavsingh Dhunnoo, Bertalan Meskó

2020 · 1.109 Zit.

The imperative for regulatory oversight of large language models (or generative AI) in healthcare

Bertalan Meskó, Eric J. Topol

2023 · 877 Zit.

A short guide for medical professionals in the era of artificial intelligence

Bertalan Meskó, Márton Görög

2020 · 395 Zit.

The role of artificial intelligence in precision medicine

Bertalan Meskó

2017 · 332 Zit.

The ChatGPT (Generative Artificial Intelligence) Revolution Has Made Artificial Intelligence Approachable for Medical Professionals

Bertalan Meskó

2023 · 131 Zit.

Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review

Jasjit S. Suri, Mrinalini Bhagawati, Sudip Paul et al.

2022 · 81 Zit.

Barriers to Use Artificial Intelligence Methodologies in Health Technology Assessment in Central and East European Countries

Konstantin Tachkov, Antal Zemplényi, Maria Kamusheva et al.

2022 · 49 Zit.

Artificial intelligence: improving the efficiency of cardiovascular imaging

Andrew Lin, Márton Kolossváry, Ivana Išgum et al.

2020 · 49 Zit.

Complete AI-Enabled Echocardiography Interpretation With Multitask Deep Learning

Gregory Holste, Evangelos Oikonomou, Márton Tokodi et al.

2025 · 49 Zit.

Multinational Attitudes Toward AI in Health Care and Diagnostics Among Hospital Patients

Felix Busch, Lena Hoffmann, Lina Xu et al.

2025 · 43 Zit.

Recommendations to overcome barriers to the use of artificial intelligence-driven evidence in health technology assessment

Antal Zemplényi, Konstantin Tachkov, László Balkányi et al.

2023 · 37 Zit.

Clinician's guide to trustworthy and responsible artificial intelligence in cardiovascular imaging

Liliána Szabó, Zahra Raisi‐Estabragh, Ahmed Salih et al.

2022 · 35 Zit.

A telemedicina lehetőségei a COVID–19-pandémia kapcsán a nemzetközi és a magyarországi tapasztalatok és ajánlások tükrében

Zsuzsa Győrffy, Sándor Békási, Noémi Szathmári-Mészáros et al.

2020 · 31 Zit.

Erratum to: Making sense of big data in health research: towards an EU action plan

Charles Auffray, Rudi Balling, Inês Barroso et al.

2016 · 27 Zit.

Health Care Professionals’ Concerns About Medical AI and Psychological Barriers and Strategies for Successful Implementation: Scoping Review

Nóra Árvai, Gellért Katonai, Bertalan Meskó

2025 · 26 Zit.