Latest AI and machine learning research in surveillance for healthcare professionals.
Obsessive-compulsive disorder (OCD) is a common psychiatric disorder, with two-thirds of affected in...
To identify post-marketing adverse event (AE) signals associated with isotretinoin using real-world ...
Adolescence and young adulthood (10-25 years) constitute a sensitive developmental period marked by ...
To develop AutoReporter, a large-language-model system that automates evaluation of adherence to res...
Pathology reporting of colorectal cancer (CRC) follows the International Collaboration on Cancer Rep...
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...
Information from electronic health records (EHRs) may be incorporated into computable phenotype algo...
Postoperative atrial fibrillation (POAF) affects 20 to 50% of patients undergoing cardiac surgery an...
Epilepsy affects approximately 50 million people worldwide, and seizures remain difficult to predict...
Forecasting the effective reproductive number (Rt) and infection case counts is critical for guiding...
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 ...