Latest AI and machine learning research in surveillance for healthcare professionals.
To identify post-marketing adverse event (AE) signals associated with isotretinoin using real-world ...
To develop AutoReporter, a large-language-model system that automates evaluation of adherence to res...
Clinical monitoring in the most vulnerable patients such as newborns relies on invasive and costly p...
Dengue remains a major public health concern in Bangladesh, yet reliable forecasting models that int...
Dengue remains a major public health challenge in southern Taiwan, where recurrent outbreaks are sha...
Diagnostic decision support systems (DDSS) are increasingly deployed at scale, yet their diagnostic ...
Antimicrobial resistance (AMR) poses a significant public health challenge, particularly in resource...
Perceived trustworthiness of research may be influenced by factors beyond the risk of bias, includin...
Cardiac allograft rejection (CAR) remains the leading cause of early graft failure after heart trans...
Prostate cancer diagnosis and treatment planning depend on accurate histopathological assessment of ...
Accurate prognostication of mobility outcomes is essential to guide rehabilitation and manage patien...
Postoperative atrial fibrillation (POAF) affects 20 to 50% of patients undergoing cardiac surgery an...
Economic evaluations of artificial intelligence (AI) in healthcare are expanding rapidly, yet underl...
To evaluate whether machine learning (ML) applied to comprehensive claims data without diagnostic co...
Peer review processes may inadequately assess compliance with established reporting guidelines such ...
Dengue fever is a mosquito-borne viral disease with strong seasonality, periodicity, and spatial het...
Clinicopathologic calculators for bladder cancer moderately predict survival and fail to depict the ...
Respiratory disease outbreaks burden U.S. healthcare systems with over one million hospitalizations ...
Falls among elderly residents in assisted living facilities (ALFs) are prevalent, costly, and freque...
Skin neglected tropical diseases (NTDs) such as cutaneous leishmaniasis, lymphatic filariasis, mycet...
The integration of causal inference, artificial intelligence (AI), and multi-omics data represents a...