3 papers
cs.AI2026
The Ceiling Is in the Channel: Auditing Learner Gaps and Measurement Frontiers in Clinical Prediction
Sayeed Shafayet Chowdhury, Nusrat Jahan, Snehasis Mukhopadhyay +2
Clinical prediction can saturate for two different reasons: a fitted learner may fail to extract available information, or the recorded variables may impose a population frontier.…
cs.LG2026
Machine Learning Based Prediction of Surgical Outcomes in Chronic Rhinosinusitis from Clinical Data
Sayeed Shafayet Chowdhury, Karen D'Souza, V. Siva Kakumani +9
Artificial intelligence (AI) has increasingly transformed medical prognostics by enabling rapid and accurate analysis across imaging and pathology. However, the investigation of ma…
cs.LG2026
Who Benefits From Sinus Surgery? Comparing Generative AI and Supervised Machine Learning for Predicting Surgical Outcomes in Chronic Rhinosinusitis
Sayeed Shafayet Chowdhury, Snehasis Mukhopadhyay, Shiaofen Fang +1
Artificial intelligence has reshaped medical imaging, yet the use of AI on clinical data for prospective decision support remains limited. We study pre-operative prediction of clin…