OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 16.03.2026, 23:24

Cedars-Sinai Smidt Heart Institute

4.369 Arbeiten371.125 Zitationen
Land: USTyp: healthcare

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals

Eric Q. Wu, Kevin Wu, Roxana Daneshjou et al.

2021 · 431 Zit.

Deep learning evaluation of biomarkers from echocardiogram videos

J. Weston Hughes, Neal Yuan, Bryan He et al.

2021 · 58 Zit.

Machine Learning and Bias in Medical Imaging: Opportunities and Challenges

Amey Vrudhula, Alan C. Kwan, David Ouyang et al.

2024 · 47 Zit.

Confounders mediate AI prediction of demographics in medical imaging

Grant Duffy, Shoa L. Clarke, Matthew Christensen et al.

2022 · 44 Zit.

Artificial intelligence and digital tools for design and execution of cardiovascular clinical trials

Jiun‐Ruey Hu, John R. Power, Faı̈ez Zannad et al.

2024 · 16 Zit.

United States Food and Drug Administration Regulation of Clinical Software in the Era of Artificial Intelligence and Machine Learning

Vidhi Singh, Susan Cheng, Alan C. Kwan et al.

2025 · 16 Zit.

Deep Learning Prediction of Biomarkers from Echocardiogram Videos

J. Weston Hughes, Neal Yuan, Bryan He et al.

2021 · 14 Zit.

Evolution of Future Medical AI Models — From Task-Specific, Disease-Centric to Universal Health

Weizhi Ma, Bin Sheng, Yang Liu et al.

2024 · 14 Zit.

Diagnostic and Prognostic Electrocardiogram-Based Models for Rapid Clinical Applications

Md. Saiful Islam, Sunil V. Kalmady, Abram Hindle et al.

2024 · 6 Zit.

Improving Quality in Cardiothoracic Surgery: Exploiting the Untapped Potential of Machine Learning

Agni Orfanoudaki, Joseph A. Dearani, David M. Shahian et al.

2022 · 6 Zit.

Evaluating for Evidence of Sociodemographic Bias in Conversational AI for Mental Health Support

Yee Hui Yeo, Yuxin Peng, Muskaan Mehra et al.

2024 · 6 Zit.

Racial Disparities in Knowledge of Cardiovascular Disease by a Chat-Based Artificial Intelligence Model

Oseiwe Eromosele, Temitope Sobodu, O. D. Olayinka et al.

2023 · 4 Zit.

Machine learning-based prediction of coronary care unit readmission: A multihospital validation study

Fei-Fei Flora Yau, I-Min Chiu, Kuan-Han Wu et al.

2024 · 3 Zit.

Evaluating Translational AI: A Two-Way Moving Target Problem

Richard K. Leuchter, William B. Turner, David Ouyang

2025 · 2 Zit.

Prognostic Value of AI-Based Quantitative Coronary CTA vs Human Reader-Based Visual Assessment

Alexander R. van Rosendael, Rine Nakanishi, Jeroen J. Bax et al.

2025 · 2 Zit.