Digital Healthcare
Digital healthcare leverages technology to improve healthcare delivery and patient outcomes, focusing on enhancing data security, privacy, and the efficiency of healthcare systems. Current research emphasizes the development and application of AI, particularly machine learning (including reinforcement learning) and large language models (LLMs), for tasks such as disease prediction, personalized interventions, and diagnostic support, often utilizing electronic health records (EHRs) and sensor data. This field is significant for its potential to improve diagnostic accuracy, personalize treatment, increase access to care, and ultimately enhance global health equity, though challenges remain in data privacy, security, and algorithmic bias.
Papers
October 4, 2024
October 1, 2024
September 24, 2024
July 22, 2024
June 15, 2024
May 21, 2024
March 6, 2024
February 19, 2024
February 13, 2024
January 16, 2024
September 26, 2023
July 18, 2023
April 11, 2023
March 3, 2023
September 8, 2022
January 17, 2022
November 18, 2021