Artificial Intelligence Medical Compendium

Approximately 10 million tuberculosis patients worldwide require drug therapies annually. However, prolonged use of tuberculocidal drugs in combination regimens may induce hepatotoxicity, ranging from asymptomatic serum transaminase elevation to acut... read more 

Early and accurate monitoring of livestock health is critical for effective disease prevention, welfare assurance, and sustainable farm management. Labor-intensive and stressful livestock weighing methods remain a major bottleneck for effective herd ... read more 

The Flexible Job Shop Scheduling Problem (FJSP) is an Non-deterministic Polynomial (NP)-hard combinatorial optimization problem whose large-scale and highly flexible instances expose limitations of many existing metaheuristics: serial search structur... read more 

Cross-domain retrieval holds significant research value in the field of image retrieval. However, existing cross-domain retrieval methods have the following limitations: 1) excessive pursuit of domain alignment and neglect of class alignment; 2) inad... read more 

OBJECTIVES: To introduce the KANET-connectome matrix (KANET-Con) as a conceptual framework linking fetal behaviors observed on four-dimensional (4D) ultrasound to underlying neural network maturation, and to evaluate optimal gestational timing for fu... read more 

OBJECTIVE: To develop and validate a radiomics-based machine learning nomogram using multiparametric MRI for preoperative prediction of aggressive histology in endometrial cancer (EC) patients. METHODS: This dual-center study retrospectively analyzed... read more 

OBJECTIVE: This systematic review critically appraises the current landscape of physics-aware artificial intelligence (AI) in medical imaging for quantitative biomarker mapping in Metabolic dysfunction-associated steatotic liver disease (MASLD) and i... read more 

Accurate assessment of jumping is important for sports performance and rehabilitation. While laboratory-based motion capture is considered gold-standard, markerless motion capture (MMC) systems offer an accessible alternative for field and clinical s... read more 

AIM: The aim of this integrative review is to critically appraise and synthesise empirical evidence on the clinical applications, outcomes, and implications of generative artificial intelligence in nursing practice. DESIGN: Integrative review followi... read more 

With the ever-expanding amount of data, students increasingly find themselves needing to engage in self-directed learning to be successful. Students studying science, technology, engineering, and mathematics often struggle with self-directed learning... read more