AI Medical Compendium

Evaluating AI Research Quality in Myasthenia Gravis: A Longitudinal Study Using the CLARITY Framework (2020-2024).

Journal of medical systems Jan 16, 2026

Machine Learning-Driven Identification and In Vitro Validation of the APOBEC3B-ANLN Regulatory Axis in Adrenocortical Carcinoma.

Endocrine Jan 16, 2026

Radiologist burnout: AI's true black box.

European radiology Jan 16, 2026

Multiple articles have touted the longitudinal promise of artificial intelligence (AI) in radiology, including projections of streamlining repetitive tasks, improving workflow, and reducing physician burnout. The purpose of this article is to review ... read more

Barriers and facilitators to implementing the living guideline development framework in oncology: a mixed methods study.

BMJ open Jan 16, 2026

OBJECTIVE: To explore stakeholder experiences with implementing the living guideline (LG) development framework in oncology, and to identify barriers, facilitators and solutions to support its uptake and sustainability. DESIGN: An exploratory sequent... read more

Humans Female Cross-Sectional Studies Male Neoplasms Qualitative Research Surveys and Questionnaires Interviews as Topic Medical Oncology Practice Guidelines as Topic Stakeholder Participation

A scalable computational framework for predicting gene expression from candidate cis-regulatory elements.

Genome research Jan 16, 2026

Deciphering the relationships between cis-regulatory elements (CREs) and target gene expression has been a long-standing unsolved problem in molecular biology, and the dynamics of CREs in different cell types make this problem more challenging. To ad... read more

Artificial intelligence-based fluid quantification predicts clinical outcomes in diabetic macular oedema eyes treated with intravitreal dexamethasone implants: DIADEMA project.

The British journal of ophthalmology Jan 16, 2026

AIM: To explore associations between artificial intelligence (AI)-based baseline optical coherence tomography (OCT) fluid compartment quantifications and 12-month visual outcomes in diabetic macular oedema (DME) eyes treated with the intravitreal dex... read more

Correction in: Artificial Intelligence-Assisted Capsule Endoscopy Versus Conventional Capsule Endoscopy for Detection of Small Bowel Lesions: A Systematic Review and Meta-Analysis.

Journal of gastroenterology and hepatology Jan 16, 2026

Deconstruction by C. thermocellum-from microbe mediated to dynamic redistribution of cellulosomes.

Life science alliance Jan 16, 2026

Clostridium thermocellum is one of the most efficient microorganisms for the deconstruction of cellulosic biomass. To achieve this high level of cellulolytic activity, C. thermocellum uses large multienzyme complexes known as cellulosomes to break do... read more

Biomass Cellulose Cell Wall Acetivibrio thermocellus Cellulosomes

Development and external validation of machine learning approaches for risk prediction of cardiovascular disease in individuals with schizophrenia: a nationwide Swedish and Danish study.

BMJ mental health Jan 16, 2026

BACKGROUND: Currently available cardiovascular disease (CVD) risk prediction tools may underestimate the risk in individuals with schizophrenia. OBJECTIVE: To develop and externally validate 5-year CVD risk prediction models for people with schizophr... read more

Humans Machine Learning Female Sweden Aged Adult Male Cardiovascular Diseases Middle Aged Risk Assessment Denmark Registries Schizophrenia

NLP-ROPCare: predicting retinopathy of prematurity with admission notes using natural language processing.

BMJ open ophthalmology Jan 16, 2026

OBJECTIVES: Retinopathy of prematurity (ROP) is a leading cause of blindness in children worldwide, requiring more efficient models to help predict treatment-requiring ROP. Our study aimed to develop a new prediction model for ROP occurrence and seve... read more

Humans Machine Learning Retrospective Studies Female Infant, Newborn Male China Natural Language Processing Infant, Premature Gestational Age Retinopathy of Prematurity

Artificial Intelligence Medical Compendium