Data Science Research Center at Doshisha University (Doshisha DSRC)

Mission

Data science is an academic field that develops and utilizes theories and techniques such as mathematical modeling, machine learning, and large-scale software to derive valuable insights through the analysis of various data. This research center aims to develop, utilize, and fuse theories and technologies in the multiple fields of data science, and to study their dissemination to society.

News

[ December 11th, 2025 ] 2025 Annual Event
Science and Engineering Group of Doshisha DSRC is going to hold an invited talk face-to-face. The venue is Room MK202 in Mukokukan Building on Kyotanabe Campus at Doshisha University. The presenter will introduce an overview of research for AI-assisted healthcare and his own research. He will also talk about the potential for collaboration between Doshisha University and German Research Center for Artificial Intelligence (DFKI).

Program
14:55-16:25
An Overview of AI Projects for Healthcare: From Challenges to Promises

Frederic LI (Senior AI Researcher, German Research Center for Artificial Intelligence (DFKI))

The field of Artificial Intelligence (AI) has seen much progress over the past years, driven by several factors such as increased data availability, hardware capabilities and algorithmic breakthroughs. This rapid progress has opened new potential applications for healthcare, from medical diagnosis and prognosis to assistive living. But beyond the promises, practical deployments of AI in healthcare settings remain challenging due to multiple factors such as poor out-of-distribution generalisation, low user acceptance or inadequate supporting infrastructure. In this talk, an overview of various past healthcare-related AI projects related to affect, movement, pain analysis and nutrition medicine will be introduced, as well as the practical lessons learnt from them regarding requirements for a successful deployment. On-going collaboration initiatives between the DFKI and Doshisha University investigating the potential of Generative AI (GenAI) in healthcare will also be presented, alongside its challenges and promises.