3 papers
cs.LG2026
Generating Counterfactual Patient Timelines from Real-World Data
Yu Akagi, Tomohisa Seki, Toru Takiguchi +3
Counterfactual simulation - exploring hypothetical consequences under alternative clinical scenarios - holds promise for transformative applications such as personalized medicine a…
cs.AI2026
High-Fidelity Longitudinal Patient Simulation Using Real-World Data
Yu Akagi, Tomohisa Seki, Hiromasa Ito +3
Simulation is a powerful tool for exploring uncertainty. Its potential in clinical medicine is transformative and includes personalized treatment planning and virtual clinical tria…
cs.CL2020
Character-level Japanese Text Generation with Attention Mechanism for Chest Radiography Diagnosis
Kenya Sakka, Kotaro Nakayama, Nisei Kimura +6
Chest radiography is a general method for diagnosing a patient's condition and identifying important information; therefore, radiography is used extensively in routine medical prac…