Diagnosis

Can AI Make Physicians Better at Diagnosis?

Ihsan Ayyub Qazi, Full Professor, Computer Science, Lahore University of Management Sciences (LUMS)

Mar 30, 12:00 - 13:00

B9 R2325

AI Trustworthy AI Diagnosis behavioral analysis decision making LLM Biomedical

This talk presents a framework for understanding physician-AI collaboration in clinical decision-making, showing that while structured AI literacy training can significantly improve diagnostic accuracy, physicians remain vulnerable to automation bias when LLMs err, highlighting the need to carefully manage human trust and reasoning in AI-assisted clinical decision-making.

CT-based COVID-19 Diagnosis and Prognosis through Novel AI Model Development

Xin Gao, Professor, Computer Science

Apr 18, 16:00 - 17:00

B2 L5 R5220

CT-based COVID-19 Diagnosis Prognosis novel methodology model development

During the recent pandemic, urgent advances have been made by the scientific community in developing artificial intelligence (AI)-based computer-aided systems for CT-based COVID-19 diagnosis. In this talk, I will introduce our work on a fully-automatic, rapid, accurate, and machine-agnostic method that can segment and quantify the infection regions on CT scans from different sources.