Machine Learning in BioMedicine (MLB)
Acronym: HealthAI, AI with EHRs, AI for Diagnosis, Health data analytics, Trust issues in HealthAI
I. Objectives
The field of Artificial Intelligence in Health (HealthAI) is rapidly transforming the healthcare industry by improving diagnostic quality, patient care, medical coding, and operational efficiency. This special session will focus on the latest advancements in health AI applications, including cutting-edge algorithms, clinical decision support systems, predictive analytics, natural language processing, and reliable AI models for medicine.
The primary goal of the session is to connect researchers, clinicians, and industry experts to share breakthrough research, practical applications, and future directions for HealthAI. Furthermore, discussions will highlight innovative approaches, interdisciplinary collaboration, and key challenges in responsibly deploying AI in clinical settings.
II. Scope
- AI for disease diagnosis and prognosis
- Clinical decision support systems
- Health data analytics and predictive modeling
- Natural language processing in healthcare
- Ethical, legal, and trust issues in HealthAI
- AI in medical imaging and genomics
- Integration of AI with Electronic Health Records (EHRs)
- etc
III. Submission link: click here
Please select the Track/Session: “Machine Learning in BioMedicine (MLB)” during submission
IV. Session Organizers
– Pham Le An, UMP, phamlean@ump.edu.vn
– Arihant Jain, Shanxi Normal University, P.R. China, jainarihant@gmx.com
– Nguyen Anh Vu, UMP, nguyenanhvu@ump.edu.vn
– Tran Duc Khanh, VGU, khanh.td@vgu.edu.vn
– Nguyen Quoc Huy, SGU, nqhuy@sgu.edu.vn
– Do Nhu Tai, SGU, dntai@sgu.edu.vn
– Tran Luong Quoc Dai, tranluongquocdai@tdtu.edu.vn