Artificial Intelligence Medical Compendium

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BACKGROUND: Generative artificial intelligence (GAI) is rapidly reshaping higher education, creating opportunities and challenges related to academic integrity, educator readiness, and policy clarity, particularly in nursing education. PURPOSE: To ex... read more 

Surgical data science has seen rapid ad vancement with the excellent performance of end-to-end deep neural networks (DNNs). Despite their successes, DNNs have been proven susceptible to minor "corrup tions," substantially impairing the model's perfor... read more 

OBJECTIVE: To critically review artificial intelligence (AI) in echocardiography, linking model design and technical performance to validation and clinical use. METHODS: We synthesized literature assembled through Web of Science and Scopus collection... read more 

Optimizing the area under the receiver operating characteristic (ROC) curve (AUC) has garnered increasing attention in modern signal processing and machine learning applications due to the recent proliferation of high-volume and highly skewed dataset... read more 

BackgroundSeveral Alzheimer's disease (AD) clinical trials currently focus on drug repurposing. Machine learning (ML)-based pharmacoepidemiological approaches may help identify candidate drugs for trials.ObjectiveWe applied an ML-based signal detecti... read more 

OBJECTIVES: Despite advances in understanding the molecular mechanisms behind juvenile idiopathic arthritis (JIA), reliable non-invasive biomarkers for diagnosis and monitoring remain limited. Urinary metabolomics offers a promising approach to inves... read more 

Both ARPA-H and the FDA recently launched programs to help accelerate clinical trials. ARPA-H announced the SURPASS program, which is intended to create faster clinical trials that are more cost-effective and have fewer participants than current stud... read more 

The use of Artificial Intelligence (AI) for image-based diagnostics is rising rapidly and enables new opportunities for improving clinical diagnostics through high precision and a quick identification of anomalies. However, a technology characterized... read more 

Artificial intelligence is transforming cognitive learning by reshaping pedagogical models and raising questions about its impact on higher-order thinking. AI-driven personalized learning improves knowledge acquisition, but its effect on creativity r... read more