Artificial Intelligence in Medicine (Canada)

Six Human-Centered Artificial Intelligence Grand Challenges

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

2023 · 422 Zit.

The Current and Future State of AI Interpretation of Medical Images

Pranav Rajpurkar, Matthew P. Lungren

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 · 359 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 · 356 Zit.

The need for a system view to regulate artificial intelligence/machine learning-based software as medical device

Sara Gerke, Boris Babic, Theodoros Evgeniou et al.

2020 · 338 Zit.

ChatGPT in healthcare: A taxonomy and systematic review

Jianning Li, Amin Dada, Behrus Puladi et al.

2024 · 321 Zit.

The TRIPOD-LLM reporting guideline for studies using large language models

Jack Gallifant, Majid Afshar, Saleem Ameen et al.

2025 · 305 Zit.

Generative artificial intelligence in healthcare: A scoping review on benefits, challenges and applications

Khadijeh Moulaei, Atiye Yadegari, Mahdi Baharestani et al.

2024 · 199 Zit.

Germany’s digital health reforms in the COVID-19 era: lessons and opportunities for other countries

Sara Gerke, Ariel Dora Stern, Timo Minssen

2020 · 194 Zit.

ChatGPT in Healthcare: A Taxonomy and Systematic Review

Jianning Li, Amin Dada, Jens Kleesiek et al.

2023 · 134 Zit.

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

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

2022 · 121 Zit.

A systematic review and meta-analysis of diagnostic performance comparison between generative AI and physicians

Hirotaka Takita, Daijiro Kabata, Shannon L. Walston et al.

2025 · 109 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 · 101 Zit.

Generalization—a key challenge for responsible AI in patient-facing clinical applications

Lea Goetz, Nabeel Seedat, Robert Vandersluis et al.

2024 · 96 Zit.

Ethical implications of AI in robotic surgical training: A Delphi consensus statement

Justin Collins, Hani J. Marcus, Ahmed Ghazi et al.

2021 · 70 Zit.