AI Medical Compendium

The effect of robot-based interventions on depression in older adults with cognitive impairment: A systematic review and meta-analysis.

Archives of gerontology and geriatrics Apr 20, 2026

OBJECTIVE: To assess the effectiveness of robot-based interventions in improving depressive symptoms among older adults with cognitive impairment, and to examine secondary effects on anxiety symptoms and cognitive function. DESIGN: A systematic revie... read more

Development and validation of an ensemble machine learning model to predict survival in locally advanced rectal cancer: A multicenter, retrospective study.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Apr 20, 2026

BACKGROUND: Patients identified with locally advanced rectal cancer (LARC) demonstrate a varied prognosis after undergoing neoadjuvant chemoradiotherapy (nCRT), highlighting the essential need for precise predictions of outcomes. PURPOSE: The aim of ... read more

From prediction to practice: early implementation of a machine learning-based hospitalization prediction tool in the emergency department.

International journal of medical informatics Apr 20, 2026

BACKGROUND: Machine learning (ML) models can accurately predict hospital admissions in emergency departments (EDs), but real-world adoption remains rare. We evaluated the feasibility and early implementation of an ML-based hospitalization prediction ... read more

Oil spill detection on sea surface with dual-polarimetric SAR imagery integrating polarization features and oil-seawater boundary information.

Journal of hazardous materials Apr 20, 2026

Oil Spill can cause a series of ecological disasters and irreversible damages to marine environment, making the timely detection of oil films on the sea surface critical. In this field, Polarimetric Synthetic Aperture Radar (PolSAR) is an effective t... read more

Making waves: Wastewater sludge holds untapped antimicrobial potential.

Water research Apr 20, 2026

Wastewater treatment plants are widely recognized as critical nodes in the environmental dissemination and control of antimicrobial resistance (AMR). This risk-focused view is warranted, but incomplete. Wastewater sludge is one of the largest enginee... read more

Quantitative Analysis of Multiple Serum Tumor Biomarkers by an Interpretable Stacked Ensemble Model.

Analytical chemistry Apr 20, 2026

Surface-enhanced Raman spectroscopy (SERS) offers exceptional sensitivity and specificity for biomolecular detection, particularly in analyzing serum tumor biomarkers. However, its application is hindered by spectral complexity and matrix interferenc... read more

Variant Calling in the Dark Genome: Benchmarking SNV Calls in the Flanks of Structural Variants.

Genomics, proteomics & bioinformatics Apr 20, 2026

Single nucleotide variant calling protocols routinely discard calls in the regions immediately flanking structural variants (often 50 bp either side) because it is technically challenging to call them accurately. Although there are undoubtedly true v... read more

AI at the bedside: Randomised controlled trial of ChatGPT's impact on student performance in real-patient clinical exams.

Medical teacher Apr 20, 2026

BACKGROUND: Generative artificial intelligence (AI) tools are entering clinical training faster than curricula and assessments can adapt. It is currently unknown whether point-of-care access to large language models (LLMs) improves clinician performa... read more

Quality and Readability of Large Language Models' Responses to Oral Lichen Planus Patients' FAQs.

Oral diseases Apr 20, 2026

OBJECTIVE: To evaluate the quality and readability of large language models (LLMs) when responding to Frequently Asked Questions (FAQs) about oral lichen planus (OLP). METHODS: We evaluated the responses of three LLMs (ChatGPT-4o, Gemini 2.0 Flash Ex... read more

Prospective biopsy-controlled validation of an AI model for predicting glioblastoma infiltration: Results from the SupraGlio trial.

Neuro-oncology Apr 20, 2026

BACKGROUND: Glioblastoma recurrence is driven by diffuse microscopic infiltration beyond the contrast-enhancing tumour margin. GlioMap is an open-access AI model predicting voxelwise infiltration and recurrence risk from multiparametric MRI. This pro... read more

Artificial Intelligence Medical Compendium