Beth Israel Deaconess Medical Center

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

Gary S. Collins, Karel G.M. Moons, Paula Dhiman et al.

2024 · 1.798 Zit.

The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care

Matthieu Komorowski, Leo Anthony Celi, Omar Badawi et al.

2018 · 1.190 Zit.

Chatbots and Conversational Agents in Mental Health: A Review of the Psychiatric Landscape

Aditya Vaidyam, Hannah Wisniewski, John Halamka et al.

2019 · 954 Zit.

Bias in artificial intelligence algorithms and recommendations for mitigation

Lama Nazer, Razan Zatarah, Shai Waldrip et al.

2023 · 525 Zit.

Evaluation of symptom checkers for self diagnosis and triage: audit study

Hannah L. Semigran, Jeffrey A. Linder, Courtney A. Gidengil et al.

2015 · 505 Zit.

AI recognition of patient race in medical imaging: a modelling study

Judy Wawira Gichoya, Imon Banerjee, Ananth Reddy Bhimireddy et al.

2022 · 497 Zit.

Large Language Model Influence on Diagnostic Reasoning

Ethan Goh, Robert Gallo, Jason Hom et al.

2024 · 490 Zit.

The “inconvenient truth” about AI in healthcare

Trishan Panch, Heather Mattie, Leo Anthony Celi

2019 · 470 Zit.

Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review

Leo Anthony Celi, Jacqueline Cellini, Marie‐Laure Charpignon et al.

2022 · 449 Zit.

Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study

Travis Zack, Eric Lehman, Mirac Süzgün et al.

2023 · 426 Zit.

Do as AI say: susceptibility in deployment of clinical decision-aids

Susanne Gaube, Harini Suresh, Martina Raue et al.

2021 · 420 Zit.

Accuracy of a Generative Artificial Intelligence Model in a Complex Diagnostic Challenge

Zahir Kanjee, Byron Crowe, Adam Rodman

2023 · 414 Zit.

Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom

Ellen Lee, John Torous, Munmun De Choudhury et al.

2021 · 398 Zit.

Guidelines for reinforcement learning in healthcare

Omer Gottesman, Fredrik Johansson, Matthieu Komorowski et al.

2018 · 358 Zit.

Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare

Jean Feng, Rachael V. Phillips, Ivana Malenica et al.

2022 · 339 Zit.