AI Medical Compendium

Machine Learning-Based Identification of Exosome-Associated Diagnostic Biomarkers in Acute Myocardial Infarction and in Silico Drug Prioritization.

Cardiovascular drugs and therapy Jan 17, 2026

BACKGROUND: Acute myocardial infarction (AMI) is a major global health burden, with current diagnostic biomarkers often limited by delayed elevation and low specificity. Exosomes have emerged as promising non-invasive biomarkers for cardiovascular di... read more

Diagnostic performance of radiomics for detecting and characterising upper tract urothelial carcinoma (UTUC): a systematic review.

World journal of urology Jan 17, 2026

PURPOSE: Upper tract urothelial carcinoma (UTUC) is a rare but aggressive malignancy where accurate preoperative assessment of tumour grade and stage is essential to guide treatment. Conventional tools such as ureteroscopic biopsy have limited accura... read more

Whole-genome sequencing and comparative genomics reveal antimicrobial potential and adaptive traits of Bacillus velezensis AM12.

Functional & integrative genomics Jan 17, 2026

The global rise of antimicrobial resistance has intensified the demand for novel antimicrobial agents with broad-spectrum efficacy and unique mechanisms of action. Herein, a marine-derived strain, Bacillus velezensis (B. velezensis) AM12, exhibiting ... read more

Anti-Bacterial Agents Genomics Whole Genome Sequencing Multigene Family Bacillus Genome, Bacterial Bacteriocins

SMGDiff: step mapping generalized diffusion model for efficient noise reduction in cardiac-gated myocardial perfusion SPECT images.

EJNMMI physics Jan 17, 2026

BACKGROUND: Improving the image quality of cardiac gating myocardial perfusion single-photon emission computed tomography (CG MP-SPECT) is crucial for accurate diagnosis. Diffusion model (DM) has recently shown promise in MP-SPECT image denoising, bu... read more

Use of artificial intelligence for veterinary triage: a promising tool but with limitations in the emergency setting.

The Veterinary record Jan 17, 2026

Using artificial intelligence in the vet sector.

The Veterinary record Jan 17, 2026

Development and validation of an interpretable machine learning model for non-invasive screening of precancerous gastric lesions using symptom and lifestyle data: a multicentre cohort study.

EClinicalMedicine Jan 17, 2026

BACKGROUND: Precancerous gastric lesions (PLGC) are a critical stage in gastric cancer progression, where timely intervention can substantially reduce mortality. However, current screening strategies are predominantly endoscopic, which are invasive, ... read more

Inter-rater reliability of a classification systems for distal radius fractures using radiology text and x-rays: what really matters?

European journal of radiology Jan 17, 2026

PURPOSE: This study used different metrics to assess the reliability of radiology text and images in Distal Radial Fractures (DRF) classifications using classifiers with varying levels of experience. METHODS: A random sample of 534 patients (16 + yea... read more

Patient and clinician engagement with generative artificial intelligence (GenAI): A scoping review of implications for patient-centered communication.

Patient education and counseling Jan 17, 2026

OBJECTIVE: To examine the influence of the emerging use of generative artificial intelligence (GenAI) within electronic health records and among the public on the patient-centeredness of communication in healthcare. METHOD: In this scoping review, we... read more

Rule-augmented constraint learning for semantic error detection in MIMIC-III knowledge graph.

International journal of medical informatics Jan 17, 2026

High-quality, error-free data is essential for developing reliable data-driven models, particularly in clinical decision support systems where inaccurate predictions can have serious consequences. While KGs offer a structured and semantically rich re... read more

Artificial Intelligence Medical Compendium