Indiana University – Purdue University Indianapolis

Trustworthy Artificial Intelligence: A Review

Davinder Kaur, Süleyman Uslu, Kaley J. Rittichier et al.

2022 · 615 Zit.

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

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

2022 · 496 Zit.

Metrics reloaded: recommendations for image analysis validation

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

2024 · 372 Zit.

Ethics of large language models in medicine and medical research

Hanzhou Li, John T. Moon, Saptarshi Purkayastha et al.

2023 · 271 Zit.

METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII

Burak Koçak, Tugba Akinci D’Antonoli, Nathaniel D. Mercaldo et al.

2024 · 255 Zit.

AI pitfalls and what not to do: mitigating bias in AI

Judy Wawira Gichoya, K.J. Thomas, Leo Anthony Celi et al.

2023 · 234 Zit.

Building the case for actionable ethics in digital health research supported by artificial intelligence

Camille Nebeker, John Torous, Rebecca J. Bartlett Ellis

2019 · 228 Zit.

Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study

Miguel Areia, Yuichi Mori, Loredana Correale et al.

2022 · 214 Zit.

ChatGPT and the Future of Digital Health: A Study on Healthcare Workers’ Perceptions and Expectations

Mohamad‐Hani Temsah, Fadi Aljamaan, Khalid H. Malki et al.

2023 · 178 Zit.

Understanding metric-related pitfalls in image analysis validation

Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.

2024 · 164 Zit.

The Use of Artificial Intelligence in Writing Scientific Review Articles

Melissa A. Kacena, Lilian I. Plotkin, Jill C. Fehrenbacher

2024 · 153 Zit.

Learning analytics and higher education: a proposed model for establishing informed consent mechanisms to promote student privacy and autonomy

Kyle M. L. Jones

2019 · 141 Zit.

Privacy preservation for federated learning in health care

Sarthak Pati, Sourav Kumar, A. Varma et al.

2024 · 129 Zit.

Reporting guidelines in medical artificial intelligence: a systematic review and meta-analysis

Fiona R. Kolbinger, Gregory Patrick Veldhuizen, Jiefu Zhu et al.

2024 · 124 Zit.

From GPT to DeepSeek: Significant gaps remain in realizing AI in healthcare

Yifan Peng, Bradley Malin, Justin F. Rousseau et al.

2025 · 108 Zit.