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Baylor College of Medicine

159.892 Arbeiten26.272.635 Zitationen
Land: USTyp: education

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Machine Learning and Artificial Intelligence: Definitions, Applications, and Future Directions

J. Matthew Helm, Andrew Swiergosz, Heather S. Haeberle et al.

2020 · 663 Zit.

Machine Learning and Deep Learning in Medical Imaging: Intelligent Imaging

Geoffrey Currie, K. Elizabeth Hawk, Eric Rohren et al.

2019 · 433 Zit.

Surgical data science – from concepts toward clinical translation

Lena Maier‐Hein, Matthias Eisenmann, Duygu Sarıkaya et al.

2022 · 311 Zit.

A scoping review of artificial intelligence in medical education: BEME Guide No. 84

Morris Gordon, Michelle Daniel, Aderonke Ajiboye et al.

2024 · 308 Zit.

Academic integrity and artificial intelligence: is ChatGPT hype, hero or heresy?

Geoffrey Currie

2023 · 237 Zit.

The Role of 3D Printing in Planning Complex Medical Procedures and Training of Medical Professionals—Cross-Sectional Multispecialty Review

Jarosław Meyer-Szary, Marlon Souza Luis, Szymon Mikulski et al.

2022 · 197 Zit.

GPT-4: a new era of artificial intelligence in medicine

Ethan Waisberg, Joshua Ong, Mouayad Masalkhi et al.

2023 · 176 Zit.

Artificial Intelligence and Machine Learning in Lower Extremity Arthroplasty: A Review

Heather S. Haeberle, J. Matthew Helm, Sergio M. Navarro et al.

2019 · 143 Zit.

Integrating blockchain technology with artificial intelligence for cardiovascular medicine

Chayakrit Krittanawong, Albert J. Rogers, Mehmet Aydar et al.

2019 · 110 Zit.

Machine Learning Models for Predicting Neonatal Mortality: A Systematic Review

Cheyenne Mangold, Sarah Zoretic, Keerthi Thallapureddy et al.

2021 · 107 Zit.

Google DeepMind’s gemini AI versus ChatGPT: a comparative analysis in ophthalmology

Mouayad Masalkhi, Joshua Ong, Ethan Waisberg et al.

2024 · 105 Zit.

Sports Medicine and Artificial Intelligence: A Primer

Prem N. Ramkumar, Bryan C. Luu, Heather S. Haeberle et al.

2021 · 102 Zit.

Artificial intelligence, machine learning, and deep learning for clinical outcome prediction

Rowland W. Pettit, Robert Fullem, Chao Cheng et al.

2021 · 98 Zit.

Beyond Dr. Google: the evidence on consumer-facing digital tools for diagnosis

Michael L. Millenson, Jessica Baldwin, Lorri Zipperer et al.

2018 · 97 Zit.

Clinical and Research Medical Applications of Artificial Intelligence

Prem N. Ramkumar, Kyle N. Kunze, Heather S. Haeberle et al.

2020 · 97 Zit.