Latest AI and machine learning research in clinical trials for healthcare professionals.
Helicobacter pylori (H. pylori) is a globally prevalent gastric pathogen whose increasing antimicrobial resistance has reduced the efficacy of conventional eradication regimens. Bacteriophages and phage-derived products have therefore attracted growing interest as alternative antimicrobial strategies against H. pylori. However, progress in this field remains constrained by the limited availability...
The increasing complexity of cardiovascular procedures, regulatory constraints, and heightened patient safety requirements have necessitated a fundamental transformation in medical education of interventional cardiology and cardiac surgery beyond traditional apprenticeship models. A comprehensive review of simulation-based training (SBT) in cardiovascular medicine and surgery was conducted, analys...
BACKGROUND: Psychotic disorder represents a leading cause of disability worldwide, and relapse in psychosis is common. Artificial intelligence (AI) is...
BACKGROUND: Everyday listening ability is essential for individual health and well-being. Age-related hearing loss (ARHL) is associated with reduced c...
BACKGROUND: As the histopathology workforce continues to struggle and service demand continues to increase, it has become prudent to consider viable a...
BACKGROUND: Feedback is essential for medical students' learning during clinical clerkships; yet, supervising physicians often struggle to provide mea...
BACKGROUND: Adverse drug events (ADEs) remain a critical safety issue in pharmaceutical research and development (Pharma R&D), necessitating robust me...
ETHNOPHARMACOLOGICAL RELEVANCE: Hypericum perforatum L. has been used for centuries in traditional medicine, with core therapeutic applications includ...
ETHNOPHARMACOLOGICAL RELEVANCE: Atractylodes Macrocephala Rhizome (AMR), the dried rhizome of Atractylodes macrocephala Koidz (family Asteraceae), is ...
BACKGROUND: Explainer videos are widely used in higher education. With the increasing availability of artificial intelligence (AI)-generated avatars, ...
Internal medicine manages patients with multiple comorbidities or rare diseases, for whom the scientific literature often provides limited guidance. P...
This study evaluated a teaching approach that combines the open-source large language model (LLM) DeepSeek with problem-based learning (PBL) in a glau...
Conventional immune checkpoint inhibitors (ICIs) remain largely ineffective in microsatellite-stable metastatic colorectal cancer (MSS mCRC), where lo...
Surgical patient safety remains a major challenge in resource-limited settings, where preventable harm may be increased by delayed assessment, limited...
BACKGROUND: Large language models (LLMs) can generate structured educational content at scale, yet their role in postgraduate radiology training remai...
β-Triketone herbicides (bTHs) are widely applied in crops such as maize, rice, and sorghum. However, their efficacy on some gramineous weeds is limite...
BACKGROUND: The integration of large language models (LLMs) into medicine has reshaped health care delivery, education, and research. Although proprie...
OBJECTIVES: To summarize and evaluate the core components, functional modules, and developmental challenges of intelligent oral examination robots, an...
Mechanical ventilation management in intensive care units requires continuous optimization of ventilator parameters while adhering to clinical safety ...
Congenital muscular torticollis (CMT) is a common musculoskeletal problem associated with unilateral sternocleidomastoid muscle stiffness. We evaluate...