Saptarshi Purkayastha

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

2022 · 465 Zit. · The Lancet Digital Health

Ethics of large language models in medicine and medical research

2023 · 265 Zit. · The Lancet Digital Health

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

2023 · 214 Zit. · British Journal of Radiology

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

2023 · 83 Zit. · Journal of the American College of Radiology

Current Clinical Applications of Artificial Intelligence in Radiology and Their Best Supporting Evidence

2020 · 59 Zit. · Journal of the American College of Radiology

Reading Race: AI Recognises Patient's Racial Identity In Medical Images

2021 · 31 Zit. · arXiv (Cornell University)

AI Education for Fourth-Year Medical Students: Two-Year Experience of a Web-Based, Self-Guided Curriculum and Mixed Methods Study

2023 · 23 Zit. · JMIR Medical Education

The Artificial Intelligence Journal Club (#RADAIJC): A Multi-Institutional Resident-Driven Web-Based Educational Initiative

2019 · 17 Zit. · Academic Radiology

Risks and Benefits of AI-generated Text Summarization for Expert Level Content in Graduate Health Informatics

2022 · 13 Zit. · 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI)

Optimizing Medical Image Classification Models for Edge Devices

2021 · 11 Zit. · Lecture notes in networks and systems

Exploring the potential of generative artificial intelligence in medical image synthesis: opportunities, challenges, and future directions

2025 · 10 Zit. · The Lancet Digital Health

Failures Hiding in Success for Artificial Intelligence in Radiology

2021 · 9 Zit. · Journal of the American College of Radiology

Evaluating the Reasoning Capabilities of Large Language Models for Medical Coding and Hospital Readmission Risk Stratification: Zero-Shot Prompting Approach

2025 · 9 Zit. · Journal of Medical Internet Research

Phronesis of AI in radiology: Superhuman meets natural stupidity

2018 · 8 Zit. · arXiv (Cornell University)

Leapfrogging Medical AI in Low-Resource Contexts Using Edge Tensor Processing Unit

2022 · 8 Zit.