University Health Network

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 · 1.417 Zit.

Federated learning for predicting clinical outcomes in patients with COVID-19

Ittai Dayan, Holger R. Roth, Aoxiao Zhong et al.

2021 · 657 Zit.

Applications of artificial neural networks in health care organizational decision-making: A scoping review

Nida Shahid, Tim Rappon, Whitney Berta

2019 · 516 Zit.

Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review

Lu Xu, Leslie Sanders, Kay Li et al.

2021 · 487 Zit.

Transparency and reproducibility in artificial intelligence

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

2020 · 467 Zit.

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

Wouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen et al.

2022 · 446 Zit.

Computerised clinical decision support systems and absolute improvements in care: meta-analysis of controlled clinical trials

Janice L. Kwan, Lisha Lo, Jacob Ferguson et al.

2020 · 420 Zit.

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

Wouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen et al.

2022 · 390 Zit.

Metrics reloaded: recommendations for image analysis validation

Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.

2024 · 338 Zit.

Artificial Intelligence for Intraoperative Guidance

Amin Madani, Babak Namazi, Maria S. Altieri et al.

2020 · 329 Zit.

Surgical data science – from concepts toward clinical translation

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

2022 · 308 Zit.

Artificial Intelligence Education Programs for Health Care Professionals: Scoping Review

Rebecca Charow, Tharshini Jeyakumar, Sarah Younus et al.

2021 · 217 Zit.

Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence

Andreas Holzinger, Matthias Dehmer, Frank Emmert‐Streib et al.

2021 · 203 Zit.

Machine Learning in Healthcare Communication

Sarkar Siddique, James C. L. Chow

2021 · 169 Zit.

Impact of ChatGPT on medical chatbots as a disruptive technology

James C. L. Chow, Leslie Sanders, Kay Li

2023 · 169 Zit.