AI Medical Compendium

Impact of artificial intelligence on cardiovascular workflow, engagement, and outcomes: a systematic review.

NPJ digital medicine May 6, 2026

Artificial intelligence (AI) is progressively utilized in cardiology; nonetheless, the overarching advantages across various care domains remain ambiguous. We conducted a search of PubMed, Embase, CINAHL, and trial registries for randomized controlle... read more

A network medicine framework for multi-modal data integration in therapeutic target discovery.

Communications chemistry May 6, 2026

The high cost and attrition rate of drug development underscore the need for more effective strategies for therapeutic target discovery. Here, we present a network medicine-based machine learning framework that integrates single-cell transcriptomics,... read more

Real-time artificial intelligence-based needle tracking for ultrasound-guided regional anesthesia training: a pilot prospective randomized controlled trial.

BMC anesthesiology May 6, 2026

BACKGROUND: Proper needle visualization is a major technical challenge for novices learning ultrasound-guided regional anesthesia (UGRA). We developed a 'You Only Look Once version 5' (YOLOv5)-based system that records quantitative needle trajectory ... read more

The value of the serum cytokine-to-immune ratio model in predicting the progression-free survival after interventional therapy for hepatocellular carcinoma.

BMC gastroenterology May 6, 2026

OBJECTIVE: To develop and validate a prognostic nomogram for predicting progression-free survival (PFS) in patients with hepatocellular carcinoma (HCC) following transcatheter arterial chemoembolization (TACE) combined with radiofrequency ablation (R... read more

Machine learning-driven clinical decision support for liver cirrhosis: a gut microbiome-based web prediction model with explainable AI integration.

BMC gastroenterology May 6, 2026

BACKGROUND: Liver cirrhosis (LC) is a chronic liver disease with global prevalence. Current diagnostic methods for LC still face limitations in safety and accessibility. We aimed to develop an interpretable machine learning (ML) prediction model for ... read more

Association between the endothelial activation and stress index and 28-day all-cause mortality in critically ill patients with chronic obstructive pulmonary disease: a retrospective cohort study and predictive model establishment based on machine learning.

BMC pulmonary medicine May 6, 2026

BACKGROUND: Chronic obstructive pulmonary disease (COPD) remains a major global health burden and is currently the third leading cause of death worldwide. Acute exacerbations accelerate disease progression and contribute substantially to mortality, u... read more

Accurate estimation of hip range of motion using MediaPipe and inertial sensors with machine learning models.

BMC musculoskeletal disorders May 6, 2026

Accurate, objective assessment of hip joint range of motion (ROM) is essential for orthopedic diagnosis and rehabilitation. Conventional tools, such as goniometers, are limited by subjectivity, inter-observer variability, and poor compatibility with ... read more

Modulation of tumor-derived exosomes and reprogramming of cancer-associated fibroblasts for colorectal cancer therapy.

Molecular cancer May 6, 2026

Hypoxia is pervasive within the solid tumor microenvironment (TME), reshaping it through exosome release. As the main component of the tumor stroma, fibroblasts influence TME remodeling and tumor progression. Recent advances in targeting tumor-derive... read more

Correction: Development of machine learning prediction models for postoperative outcomes in adult male circumcision.

BMC urology May 6, 2026

Are chatbots reliable sources of information regarding fluoride in pediatric dentistry?

BMC oral health May 6, 2026

AIM: To evaluate the accuracy and consistency of responses generated by artificial intelligence (AI) chatbots in pediatric dentistry, specifically concerning fluoride usage. STUDY DESIGN: Descriptive cross-sectional study. METHODS: Four AI chatbots (... read more

Artificial Intelligence Medical Compendium