Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1,661 to 1,670 of 200,546 articles

Integrating machine learning and spatiotemporal transcriptomics to build a diagnostic model for osteosarcoma metastasis and to decipher the role of necroptosis genes.

Discover oncology
OBJECTIVE: To develop a diagnostic model for osteosarcoma metastasis and elucidate the spatiotemporal role of necroptosis genes. METHODS: Multi-omics data (TCGA/GEO, single‑cell, spatial transcriptomics) were integrated using 113 machine learning alg... read more 

AI-driven text mining of the female reproductive system: enabling multiscale biomedical modeling and personalized medicine.

Nano convergence
The female reproductive system, including the endometrium, placenta, ovary, cervix, and fallopian tube, plays a critical role in conception, implantation, and fetal development. Recent advances in bioengineered models such as organoids, organ-on-a-ch... read more 

Probiotics and Postbiotics in Life-Style Disease Management: A Comprehensive Review on the Technologies in the Era of Omics and Artificial Intelligence.

Probiotics and antimicrobial proteins
Both conventional and next-generation probiotics play a crucial role in maintaining host homeostasis. They modulate insulin sensitivity, immune-regulation, lipid metabolism, and trimethylamine synthesis. In recent years, probiotics have emerged as an... read more 

Beyond Broca and Wernicke: Epilepsy surgery in the language areas.

Epileptic disorders : international epilepsy journal with videotape
Epilepsy surgery in language areas is challenged by the intricacies of presurgical workup and surgical planning. In recent decades, the view of language-related circuitry has shifted from being localized in a few cortical centers to a distributed, dy... read more 

Techniques and outcomes review of the endoscopic management of gastrointestinal bleeding.

Expert review of gastroenterology & hepatology
INTRODUCTION: Gastrointestinal (GI) bleeding is a frequent and potentially life-threatening emergency that imposes a substantial healthcare burden worldwide. Over the past three decades, advances in endoscopic technology and technique have transforme... read more 

Optimizing cervical breath sound acquisition protocol in dysphagia patients: an orthogonal experimental study.

Topics in stroke rehabilitation
BACKGROUND: Dysphagia is a highly prevalent condition among patients with stroke. Cervical auscultation serves as a crucial screening method for dysphagia detection. The advancement of artificial intelligence has enabled acoustic analysis to emerge a... read more 

Imaging Primary Chronic Pain Syndromes: Current Evidence, Clinical Relevance, and Advances in MRI and PET/CT.

Seminars in roentgenology
Primary chronic pain syndromes are increasingly understood through advanced neuroimaging techniques, which reveal consistent structural, functional, and molecular alterations in the central nervous system. Multi-modal Magnetic Resonance Imaging-inclu... read more 

Artificial intelligence can replace nursing tasks, but not nurses: Examining artificial intelligence's supports and threats to nursing practice through the lens of the 2025 Nursing Code of Ethics.

Nursing outlook
BACKGROUND: Nurses are concerned that artificial intelligence (AI) could undermine the holistic, intuitive, and experience-based clinical judgment that is foundational to safe patient care. They are also worried that AI will replace their jobs. PURPO... read more 

Beyond natural evolution: multi-scale in vivo mutagenesis toolkits for synthetic evolution.

Trends in biotechnology
Our current industrial, agricultural, and medical practices exploit the extraordinary biodiversity generated through billions of years of natural evolution. Despite their high fitness in native habitats, biomolecules and organisms are often not optim... read more 

Assessing Image Quality and Diagnostic Performance of Quadruple-Low Coronary CT Angiography with Deep Learning in High-BMI Patients.

Academic radiology
RATIONALE AND OBJECTIVES: To examine the feasibility of a quadruple-low protocol in coronary computed tomography angiography (CCTA) assisted by the deep learning image reconstruction (DLIR) for participants with high body mass index (BMI). MATERIALS ... read more