Latest AI and machine learning research in information technology for healthcare professionals.
Automated clinical diagnosis remains a core challenge in medical AI, which usually requires models t...
This study introduces a novel approach for early Type 2 Diabetes Mellitus (T2DM) risk prediction usi...
Foundation models trained on electronic health records show strong performance on many clinical pred...
Medication product names in Swiss electronic health records are heterogeneous and often encode multi...
Multimodal clinical prediction is widely used to integrate heterogeneous data such as Electronic Hea...
AI agents are increasingly used in long, multi-turn workflows in both research and enterprise settin...
Recently, artificial intelligence (AI) has emerged as a transformative tool, enhancing the speed, ac...
Symbolic accelerators are increasingly used for symbolic data processing in domains such as genomi...
Bioinformatics web servers are critical resources in modern biomedical research, facilitating inte...
Eviction is a significant yet understudied social determinants of health (SDoH), linked to housing...
Critical infrastructure systems, including energy grids, healthcare facilities, transportation net...
Electronic Health Records (EHR) are time-series relational databases that record patient interacti...
The rapid transformation of the labor market, driven by technological advancements and the digital...
In recent years, hip arthroscopy has made great progress and has been extended to the treatment of i...
BioPortal (https://bioportal.bioontology.org) is the world's most comprehensive repository of biomed...
Social determinants of health (SDoH) significantly influence health outcomes, shaping disease prog...
Developed nations are undergoing a profound demographic transformation, characterized by rapidly a...
For years, semantic interoperability standards have sought to streamline the exchange of clinical ...
Background: The use of Electronic Health Records (EHRs) for epidemiological studies and artificial...
Rare diseases affect an estimated 300-400 million people worldwide, yet individual conditions ofte...
Large-scale pretraining has transformed modeling of language and other data types, but its potenti...