AI Medical Compendium

Comparative evaluation of conventional radiomics and VGG-SAM fusion strategies for MRI-based preoperative prediction of perineural invasion in cervical cancer.

Abdominal radiology (New York) May 22, 2026

OBJECTIVE: Perineural invasion (PNI) is an adverse feature in cervical cancer and may influence nerve-sparing surgery. We compared conventional radiomics and VGG-SAM deep-learning strategies for MRI-based preoperative prediction of PNI. METHODS: A re... read more

Automated deep learning model for predicting pathological complete response in rectal cancer: A tool to organ-preserving strategies.

International journal of colorectal disease May 22, 2026

BACKGROUND: Accurate identification of pathological complete response (pCR) after neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal cancer (LARC) remains a key clinical challenge. Clinical complete response is an imperfect surrogate, an... read more

Application of machine learning to predict bronchiolitis severity in children: a single-centre retrospective cohort study.

European journal of pediatrics May 22, 2026

UNLABELLED: Several severity scores have been developed to assess disease severity in infants with bronchiolitis, but they often lack objectivity and may not reliably reflect clinical outcomes. We performed a single-centre retrospective cohort study ... read more

Prediction and diagnosis of post-stroke epilepsy using artificial intelligence approaches: a systematic review and meta-analysis.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology May 22, 2026

INTRODUCTION: Post-stroke epilepsy (PSE) is a common complication following a stroke and is a major cause of epilepsy in the elderly. Artificial intelligence (AI) is currently developing rapidly in the medical field and has a promising outlook in dis... read more

Machine learning application in the prediction of postoperative delirium among elderly patients: a systematic review and meta-analysis.

Langenbeck's archives of surgery May 22, 2026

PURPOSE: This meta-analysis systematically evaluates machine learning (ML) applications for predicting postoperative delirium (POD) among elderly patients. This study compares predictive performance across models, assesses generalizability and evalua... read more

A machine learning-derived speech index as a biomarker for Huntington's disease severity.

Journal of neurology May 22, 2026

BACKGROUND: The development of disease-modifying therapies for Huntington's disease (HD) necessitates sensitive, scalable, and objective biomarkers for patient stratification and tracking. Current clinical scales are rater-dependent and time-consumin... read more

Microbiome in Gastrointestinal Tumors: Implications in Oncogenesis and Therapeutic Response : Microbiome in Gastrointestinal Tumors.

Current oncology reports May 22, 2026

PURPOSE OF REVIEW: To provide an updated overview of the role of the human microbiome in the initiation, progression, and therapeutic response of gastrointestinal tumors, emphasizing molecular, immunological, and metabolic mechanisms, as well as its ... read more

A pre-trained foundation model framework for multiplanar MRI classification of extramural vascular invasion and mesorectal fascia invasion in rectal cancer.

Insights into imaging May 22, 2026

OBJECTIVES: Accurate MRI-based identification of extramural vascular invasion (EVI) and mesorectal fascia invasion (MFI) is crucial for risk-stratified rectal cancer treatment. However, subjective visual assessment and inter-institutional variability... read more

Advances in Technology-Assisted Visual Rehabilitation Therapies: Scoping Review.

Journal of medical systems May 22, 2026

Visual impairment (VI) is a growing condition associated with aging, neurological diseases, and chronic eye conditions. In 2023, more than 2.2 billion people experienced VI, and at least 1 billion could have been prevented or remain untreated. Visual... read more

Assessing spatiotemporal land dynamics using Google Earth Engine and random forest: trends and drivers of change in Ethiopia's fragile Jema River Basin.

Environmental monitoring and assessment May 22, 2026

Quantifying land use land cover (LULC) dynamics in vulnerable ecosystems of the Ethiopian highlands is crucial for understanding the drivers of environmental degradation and informing sustainable land management to protect ecosystem integrity. The Je... read more

Artificial Intelligence Medical Compendium