Artificial Intelligence in Medicine (Canada)

Six Human-Centered Artificial Intelligence Grand Challenges

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

2023 · 400 Zit.

A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence

Zeynep Akata, Dan Balliet, Maarten de Rijke et al.

2020 · 346 Zit.

Artificial intelligence in nursing: Priorities and opportunities from an international invitational think‐tank of the Nursing and Artificial Intelligence Leadership Collaborative

Charlene Ronquillo, Laura‐Maria Peltonen, Lisiane Pruinelli et al.

2021 · 332 Zit.

ChatGPT in Healthcare: A Taxonomy and Systematic Review

Jianning Li, Amin Dada, Jens Kleesiek et al.

2023 · 131 Zit.

Machine learning in vascular surgery: a systematic review and critical appraisal

Ben Li, Tiam Feridooni, César Cuen-Ojeda et al.

2022 · 119 Zit.

Clinical Deployment of Explainable Artificial Intelligence of SPECT for Diagnosis of Coronary Artery Disease

Yuka Otaki, Ananya Singh, Paul Kavanagh et al.

2021 · 107 Zit.

Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade

M. Álvaro Berbís, David S. McClintock, Andrey Bychkov et al.

2023 · 97 Zit.

Machine Learning and Bias in Medical Imaging: Opportunities and Challenges

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

2024 · 46 Zit.

Incorporating Artificial Intelligence Into Stroke Care and Research

Lingling Ding, Chelsea Liu, Zixiao Li et al.

2020 · 40 Zit.

Transforming Health Care With Artificial Intelligence: Redefining Medical Documentation

Archana Reddy Bongurala, Dhaval Save, Ankit Virmani et al.

2024 · 36 Zit.

Insights and trends review: artificial intelligence in hand surgery

Robert Miller, Simon Farnebo, Maxim D. Horwitz

2023 · 32 Zit.

SAGES consensus recommendations on surgical video data use, structure, and exploration (for research in artificial intelligence, clinical quality improvement, and surgical education)

Jennifer A. Eckhoff, Guy Rosman, Maria S. Altieri et al.

2023 · 31 Zit.

Developing, purchasing, implementing and monitoring AI tools in radiology: Practical considerations. A multi‐society statement from the ACR, CAR, ESR, RANZCR & RSNA

Adrian P. Brady, Bibb Allen, Jaron Chong et al.

2024 · 29 Zit.

National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence

Andriy Fedorov, William J.R. Longabaugh, David Pot et al.

2023 · 29 Zit.

Data Sharing of Imaging in an Evolving Health Care World: Report of the ACR Data Sharing Workgroup, Part 1: Data Ethics of Privacy, Consent, and Anonymization

Juan Batlle, Keith J. Dreyer, Bibb Allen et al.

2021 · 27 Zit.