SmartPath provides integrated support for clinical diagnosis, subtyping, biomarker quantification, treatment response assessment, and prognostic follow-up across a wide spectrum of cancers, aiming to accelerate turnaround times and enhance the personalization of treatment plans.

The system was developed by an HKUST research team led by Prof. Chen Hao, Director of Collaboration Center for Medical and Engineering Innovation, and Assistant Professor of the Department of Computer Science and Engineering and Department of Chemical and Biological Engineering.

Created from one of the largest and most diverse pathology datasets, SmartPath was trained on more than half a million whole slide images spanning 34 major tissue sites. This enables the system to assist health care professionals with more than 100 distinct clinical tasks, including cancer classification, subtyping, treatment response evaluation, survival rate prediction, and the generation of detailed pathology reports.