Latest AI and machine learning research in information technology for healthcare professionals.
Electronic health records (EHRs) are invaluable for clinical research, yet privacy concerns severely...
Electronic health records (EHRs) and other real-world clinical data are essential for clinical resea...
Modern clinical practice increasingly depends on reasoning over heterogeneous, evolving, and incompl...
Unstructured Electronic Health Record (EHR) data, such as clinical notes, contain clinical contextua...
In recent years, progress in medical informatics and machine learning has been accelerated by the av...
Modern clinical practice increasingly depends on reasoning over heterogeneous, evolving, and incompl...
Systems powered by large language models are widely used for health information and advice, yet robu...
India's national research capacity and infrastructure are unevenly distributed across states and uni...
Everyday photographs taken with ordinary cameras are already widely used in telemedicine and other o...
Background Snakebite envenoming is a significant global health crisis that has been long neglected a...
Electronic health records (EHRs) contain rich multimodal data but remain underutilized for populatin...
Early diagnosis of lung cancer is challenging due to biological uncertainty and the limited understa...
Background: Longitudinal measurement of depression severity in outpatient psychiatric care is limite...
Chronic diseases are long-lasting conditions that require lifelong medical attention. Using big EMR ...
The growing adoption of electronic health record (EHR) systems has provided unprecedented opportunit...
Objective. Healthcare machine learning models trained on patient data must comply with the General D...
Clinical research depends on high quality data that is standardized, accessible and interoperable. Y...
Objective To develop and evaluate a scalable and reproducible natural language processing (NLP) appr...
Predicting hospital outcomes for patients with severe acute respiratory infections is critical for r...
Large healthcare institutions typically operate multiple business intelligence (BI) teams segmented ...
In recent years, Artificial Intelligence has become a powerful partner for complex tasks such as dat...