Chu-Hsien Su

TimelyMed: AI-Driven Clinical Course Attribution and Temporal Mapping for Psychiatric Medical Records

Timely understanding of a patient’s clinical course is crucial for effective treatment. Extracting course-related information, such as temporal and medical events, from unstructured medical records is both challenging and time-consuming, especially when relying on manual identification by physicians