AI Medical Compendium

An artificial intelligence approach to support adolescent suicide prevention initiatives in the United States.

Artificial intelligence in medicine Mar 14, 2026

Adolescent suicide remains a critical public health issue in the United States, with complex, interrelated risk and protective factors operating across multiple levels of the social ecology. This study presents the design of a novel agent-based model... read more

A structural equation modeling based on the conservation of resources theory: Analyzing the relations between artificial intelligence attitude, employability, and career stress in nursing students.

Nurse education today Mar 14, 2026

BACKGROUND: The rapid rise of artificial intelligence (AI) in healthcare is reshaping nursing education and practice. There is no research examining the structural relationships between attitudes toward AI, perceived future employability, and career ... read more

An efficient brain-heart coupling learning system for emotion recognition.

Neural networks : the official journal of the International Neural Network Society Mar 14, 2026

In neuroscience, cardiac sympathetic-vagal nerve activity and central nervous system activity in the brain work in concert to maintain the body's response to emotional perception. Therefore, the efficient mining of brain-heart driving patterns in emo... read more

Beyond benchmarks of IUGC: Rethinking requirements of deep learning method for intrapartum ultrasound biometry from fetal ultrasound videos.

Medical image analysis Mar 14, 2026

A significant proportion (45%) of maternal deaths, neonatal deaths, and stillbirths occur during the intrapartum phase, particularly prevalent in low- and middle-income countries. Intrapartum biometry plays a crucial role in monitoring labor progress... read more

Empathic and agentic artificial intelligence in nursing: perspectives on a human-centered framework for cancer care navigation in the United States.

ESMO real world data and digital oncology Mar 14, 2026

For patients experiencing cancer, nurse navigation can ease the burden of complex care by enhancing coordination of health services and patient outcomes. However, in under-resourced areas, trained nurse navigators may be limited or non-existent. In t... read more

Identification of potential biomarkers and therapeutic targets for liver cirrhosis based on Mendelian randomization and machine learning.

Biochemistry and biophysics reports Mar 14, 2026

BACKGROUND: Liver cirrhosis(LC) represents the end stage of chronic liver disease, yet reliable molecular markers remain limited. This study aimed to uncover potential diagnostic biomarkers and therapeutic targets for LC. METHODS: We integrated diffe... read more

"Development of a low-cost portable sequential detection sensor for quantification of fluoride and cyanide in water".

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Mar 14, 2026

Safe drinking water monitoring requires inexpensive, on-site tools that can sensitively quantify multiple inorganic anions in complex matrices. We report an integrated, low-cost (<$80) portable fluorescence sensor with the dual-responsive coumarin pr... read more

Med-ViX-Ray: Enhancing explainable chest X-ray analysis with clinical knowledge graphs.

Computer methods and programs in biomedicine Mar 14, 2026

BACKGROUND AND OBJECTIVE: Deep learning has achieved remarkable success in chest x-ray interpretation, yet most models remain black boxes, producing accurate predictions without exposing the clinical reasoning behind them. This opacity limits trust a... read more

Application-specific guided-wave ultrasonic signal denoising: Knowledge-guided synthetic data pipeline and wavelet-initialized attention U-Net.

Ultrasonics Mar 14, 2026

Guided wave ultrasonic testing (GWUT) in industrial environments is often limited by low signal-to-noise ratio (SNR), which reduces defect detectability. This study proposes a knowledge-guided framework that combines synthetic data generation with a ... read more

Improving consciousness assessment through neuroadaptive artificial intelligence and quantum-enhanced brain-computer interfaces.

Clinical neurology and neurosurgery Mar 14, 2026

Accurate assessment of consciousness in patients with disorders of consciousness (DoC) remains a major clinical challenge, particularly when motor impairment masks evidence of preserved awareness. Recent advances in neuroadaptive artificial intellige... read more

Artificial Intelligence Medical Compendium