Latest AI and machine learning research in public health & policy for healthcare professionals.
This study evaluates the feasibility of implementing artificial intelligence (AI)-driven disease sur...
ObjectivesTo develop and evaluate predictive models for unused outpatient appointments (missed or ca...
Computer-aided detection (CADe) of early neoplasia in Barrett's esophagus is a low-prevalence survei...
We present an end-to-end pipeline that converts healthcare policy documents into executable, data-aw...
Physical adversarial attacks are increasingly studied in settings that resemble deployed surveillanc...
We present the Surveillance Forgery Image Test Range (SurFITR), a dataset for surveillance-style ima...
Extracting vehicle information from surveillance images is essential for intelligent transportation ...
Deep learning models utilizing longitudinal healthcare data have significantly advanced epidemiologi...
Background Cardiovascular adverse events (CVAEs) after chemoradiotherapy (CRT) for lung cancer are m...
During the COVID-19 pandemic, reported incidence data played a central role in public health surveil...
Background: The integration of artificial intelligence (AI) into clinical practice holds transformat...
Background: Oral health remains inadequately integrated within the Ayushman Bharat Digital Mission (...
Background. Climate change is intensifying extreme weather events (EWEs) with potentially profound c...
Objective: Behavioral and social factors (BSFs) substantially influence the risk, onset, and progres...
The rapid advancement of AI research automation systems--including AI Scientist, data-to-paper, and ...
Background: The FDA Adverse Event Reporting System (FAERS) is a critical pillar of post-marketing ph...
Background Chronic subdural hematoma (cSDH) recurrence requiring reoperation occurs in 5-33% of case...
Background: Experiences of violence are reported frequently by mental health service users, victims ...
Detecting small unmanned aerial vehicles (UAVs) from a ground-to-air (G2A) perspective presents sign...
When designing control strategies for an infectious disease it is critical to identify the key pathw...
Physics-informed neural networks (PINNs) are increasingly used in mathematical epidemiology to bridg...