Johns Hopkins University

The Medical Segmentation Decathlon

Michela Antonelli, Annika Reinke, Spyridon Bakas et al.

2022 · 1.101 Zit.

Do no harm: a roadmap for responsible machine learning for health care

Jenna Wiens, Suchi Saria, Mark Sendak et al.

2019 · 893 Zit.

Artificial intelligence and the future of global health

Nina Schwalbe, Brian Wahl

2020 · 825 Zit.

Medical robotics—Regulatory, ethical, and legal considerations for increasing levels of autonomy

Guang‐Zhong Yang, James Cambias, Kevin Cleary et al.

2017 · 640 Zit.

The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment

Melissa Haendel, Christopher G. Chute, Tellen D. Bennett et al.

2020 · 573 Zit.

The Clinician and Dataset Shift in Artificial Intelligence

Samuel G. Finlayson, Adarsh Subbaswamy, Karandeep Singh et al.

2021 · 560 Zit.

Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist

Beau Norgeot, Giorgio Quer, Brett K. Beaulieu‐Jones et al.

2020 · 531 Zit.

Machine Learning and Natural Language Processing in Mental Health: Systematic Review

Aziliz Le Glaz, Yannis Haralambous, Deok-Hee Kim-Dufor et al.

2020 · 517 Zit.

Surgical data science for next-generation interventions

Lena Maier‐Hein, S. Swaroop Vedula, Stefanie Speidel et al.

2017 · 504 Zit.

Transparency and reproducibility in artificial intelligence

Benjamin Haibe‐Kains, George Alexandru Adam, Ahmed Hosny et al.

2020 · 467 Zit.

Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare

Polina Mamoshina, Lucy O. Ojomoko, Yury Yanovich et al.

2017 · 465 Zit.

Global Evolution of Research in Artificial Intelligence in Health and Medicine: A Bibliometric Study

Bach Xuan Tran, Giang Thu Vu, Giang Hai Ha et al.

2019 · 441 Zit.

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.

2022 · 427 Zit.

Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery

Shane O’Sullivan, Nathalie Nevejans, Colin Allen et al.

2018 · 405 Zit.

Six Human-Centered Artificial Intelligence Grand Challenges

Özlem Özmen Garibay, Brent Winslow, Salvatore Andolina et al.

2023 · 400 Zit.