Latest AI and machine learning research in surveys for healthcare professionals.
Convergence of chemical and biological space into a unified decision space requires coordinated interactions across the triad- molecular representations, learning algorithms, and explainability. This study establishes a benchmarking framework for Virtual Screening (VS) that integrates this triad to enable consistent, predictive, and interpretable modelling of complex immune-related bioassays. The ...
BACKGROUND: Artificial intelligence (AI) is rapidly transforming healthcare worldwide, yet the readiness of physicians and medical students to adopt AI-particularly in low- and middle-income settings-remains insufficiently understood. Examining knowledge, attitudes, and practices (KAP) toward AI is essential for informing educational priorities and implementation strategies. OBJECTIVES: This study...
BACKGROUND: Artificial intelligence and digital health technologies may strengthen Infection Prevention and Control through enhanced surveillance, dec...
Rapid urbanization in semi-arid regions subjects metropolitan rivers to a distinctive form of hydrologic-physical impairment-herein designated as Type...
BACKGROUND: Major depressive disorder (MDD) affects approximately 1 in 6 adults during their lifetime, yet antidepressant selection relies predominant...
BACKGROUND: Artificial intelligence (AI) is considered to be a leading technology in radiation medical physics, which has the potential for improving ...
BACKGROUND: Generative artificial intelligence (AI) use has been suggested to have adverse mental health consequences but a causal relationship has no...
Despite rapid advances in artificial intelligence (AI) capabilities, clinical integration remains limited, partly due to an incomplete understanding o...
OBJECTIVES: This study aimed to compare the diagnostic accuracy and citation integrity of four large language models (LLMs) including one general (Cha...
Aizawl, located in Mizoram, northeast India, faces persistent landslide risk due to fragile geology, steep terrain, and unregulated urban expansion. T...
BACKGROUND: Acute kidney injury (AKI) is a common complication following pediatric cardiac surgery, frequently leading to poor outcomes and even death...
BACKGROUND: Artificial intelligence (AI) is rapidly transforming healthcare, offering opportunities to enhance accuracy, efficiency, and personalized ...
BACKGROUND: Effective communication about clinical trials is essential, as low enrollment undermines scientific validity and contributes to health car...
BACKGROUND: Artificial intelligence (AI) is increasingly recognized as transformative in laboratory medicine, yet adoption lags behind radiology and c...
Search-and-Rescue (SAR) operations rely on sensor platforms to detect victims behind walls, obstacles etc. Conventional sensors (thermal, optical etc....
Targeting cloud computing environments has become increasingly attractive to sophisticated cyberattackers due to their open, scalable, and distributed...
BACKGROUND: Chikungunya continues to expand geographically, driving demand for trustworthy, easy-to-read public guidance. Conversational AI systems ar...
Technological innovation in laboratory medicine is advancing rapidly, driven by artificial intelligence, next-generation sequencing, high-resolution m...
BACKGROUND: Large language models (LLMs) are increasingly used to summarize clinical documents; yet, automated metrics often inadequately capture clin...
BACKGROUND: As artificial intelligence (AI) transforms medicine, understanding physicians' knowledge, attitudes, and practices (KAP) toward AI is cruc...