In this presentation, I will showcase four digital health solutions recently developed at the Laboratory of Data Discovery for Health (D24H), an InnoHK research center led by HKUMed.
The first solution is a user-centric pharmacy chatbot, developed in collaboration with the HA Chief Pharmacist Office. This chatbot enables users to freely access trustworthy information about medications listed in the HA formulary. It accepts multimodal inquiries and delivers concise answers on usage, side effects, dosage, etc.
The second solution is an LLM-powered chatbot focused on HPV vaccines co-developed with Fudan University. A randomized controlled trial (RCT) involving over 2,500 parents in mainland China showed that this chatbot increased HPV vaccine uptake among their school-aged daughters, particularly in rural locations with limited health literacy and less robust healthcare infrastructure (Nature Medicine 2025).
The third solution is an AI-powered smartphone application designed to detect heart murmurs without the need for additional hardware. In a clinical validation study involving more than 500 patients at Queen Mary Hospital, this app demonstrated an accuracy level comparable to that of commercial electronic stethoscopes (Gold Medal with Congratulations of the Jury, 49th International Exhibition of Inventions of Geneva, 2024).
The fourth solution is an offline LLM application designed to support autonomous cancer staging and risk stratification for thyroid cancer cases using their clinical notes. Trained on 50 pathology reports from The Cancer Genome Atlas - Thyroid Cancer (TCGA-THCA) database, this application achieved an accuracy of over 90% when tested on 289 TCGA-THCA notes and 35 pseudo-clinical cases composed by clinicians at Queen Mary Hospital (npj Digital Medicine 2025).
