Saptarshi Purkayastha

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

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

Synthetically enhanced: unveiling synthetic data's potential in medical imaging research

Ethics of large language models in medicine and medical research

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

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

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

From Seeing to Knowing with Artificial Intelligence: A Scoping Review of Point-of-Care Ultrasound in Low-Resource Settings

Foundational domains and competencies for baccalaureate health informatics education

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

Human Activity Recognition using Deep Learning Models on Smartphones and Smartwatches Sensor Data

Patient-specific COVID-19 resource utilization prediction using fusion AI model

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