Towards Clinically Useful AI: From Radiology Practices in Global South and North to Visions of AI Support

ACM Transactions on Computer-Human Interaction, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

Despite recent advancements, real-world use of Artificial Intelligence (AI) in radiology remains low, often due to the mismatch between AI offerings and situated challenges faced by healthcare professionals. To bridge this gap, we conducted a field study at nine medical sites Denmark Kenya with two goals: (1) understand radiologists during chest X-ray practice; (2) envision alternative futures that align collaborative clinical work. This uniquely grounds design insights comprehensive characterisation diagnostic work across multiple geographical institutional contexts. Building on ideas articulated interviewed (N=18), conceptualised five visions transcend traditional notions support. These emphasise usefulness AI-based systems depends their configurability flexibility three dimensions: type site, expertise professionals, situational patient Addressing these dependencies requires expanding space envisioning rooted realities practice rather than solely following trajectory development.

Language: Английский

How a Clinical Decision Support System Changed the Diagnosis Process: Insights from an Experimental Mixed-Method Study in a Full-Scale Anesthesiology Simulation

Published: April 24, 2025

Language: Английский

Advancing Problem-Based Learning with Clinical Reasoning for Improved Differential Diagnosis in Medical Education

Published: April 25, 2025

Language: Английский