OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 11.03.2026, 08:35

Vector Institute

3.117 Arbeiten219.277 Zitationen
Land: CATyp: facility

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

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.

The false hope of current approaches to explainable artificial intelligence in health care

Marzyeh Ghassemi, Luke Oakden‐Rayner, Andrew L. Beam

2021 · 1.195 Zit.

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

Jenna Wiens, Suchi Saria, Mark Sendak et al.

2019 · 893 Zit.

Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations

Laleh Seyyed-Kalantari, Haoran Zhang, Matthew B. A. McDermott et al.

2021 · 684 Zit.

Transparency and reproducibility in artificial intelligence

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

2020 · 467 Zit.

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

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

2022 · 465 Zit.

Ethical Machine Learning in Healthcare

Irene Y. Chen, Emma Pierson, Sherri Rose et al.

2021 · 425 Zit.

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

Susanne Gaube, Harini Suresh, Martina Raue et al.

2021 · 392 Zit.

Metrics reloaded: recommendations for image analysis validation

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

2024 · 338 Zit.

The role of machine learning in clinical research: transforming the future of evidence generation

E. Hope Weissler, Tristan Naumann, Tomas Andersson et al.

2021 · 270 Zit.

Ethical limitations of algorithmic fairness solutions in health care machine learning

Melissa D. McCradden, Shalmali Joshi, Mjaye Mazwi et al.

2020 · 245 Zit.

The value of standards for health datasets in artificial intelligence-based applications

Anmol Arora, Joseph Alderman, Joanne Palmer et al.

2023 · 235 Zit.

Managing extreme AI risks amid rapid progress

Yoshua Bengio, Geoffrey E. Hinton, Andrew Chi-Chih Yao et al.

2024 · 221 Zit.

Artificial Intelligence Education Programs for Health Care Professionals: Scoping Review

Rebecca Charow, Tharshini Jeyakumar, Sarah Younus et al.

2021 · 217 Zit.

Treating health disparities with artificial intelligence

Irene Y. Chen, Shalmali Joshi, Marzyeh Ghassemi

2020 · 197 Zit.