Indiana University – Purdue University Indianapolis

Trustworthy Artificial Intelligence: A Review

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

2022 · 581 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.

Metrics reloaded: recommendations for image analysis validation

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

2024 · 338 Zit.

Ethics of large language models in medicine and medical research

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

2023 · 265 Zit.

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

Camille Nebeker, John Torous, Rebecca J. Bartlett Ellis

2019 · 222 Zit.

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

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

2023 · 215 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 · 169 Zit.

Understanding metric-related pitfalls in image analysis validation

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

2024 · 154 Zit.

The Use of Artificial Intelligence in Writing Scientific Review Articles

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

2024 · 144 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 · 139 Zit.

Privacy preservation for federated learning in health care

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

2024 · 108 Zit.

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

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

2024 · 106 Zit.

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

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

2025 · 100 Zit.

Enhancing Patient Communication With Chat-GPT in Radiology: Evaluating the Efficacy and Readability of Answers to Common Imaging-Related Questions

Emile B. Gordon, Alexander J. Towbin, Peter Wingrove et al.

2023 · 91 Zit.

“Shortcuts” Causing Bias in Radiology Artificial Intelligence: Causes, Evaluation, and Mitigation

Imon Banerjee, Kamanasish Bhattacharjee, John L. Burns et al.

2023 · 83 Zit.