Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 29,181 to 29,190 of 219,647 articles

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

Analytical chemistry
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
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
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
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
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 

Deep Learning-Aided SERS Detection of Microplastics in Water Samples with a Hierarchically Porous Gold Sponge Substrate.

Analytical chemistry
The pervasive occurrence of microplastics (MPs) in aquatic environments presents growing challenges for environmental monitoring. Conventional MP detection methods often require extensive pretreatment and struggle to differentiate mixed polymer compo... read more 

Developing and Benchmarking Sage 2.3.0 with the AshGC Neural Network Charge Model.

Journal of chemical theory and computation
Partial atomic charges are a fundamental component underlying classical molecular simulations, but assigning charges remains a computational bottleneck; many common methods rely on quantum mechanical calculations that scale poorly with molecular size... read more 

Integrating multi-encoding sequence features via stacking ensemble learning for RNA m5C site prediction.

Nucleosides, nucleotides & nucleic acids
RNA 5-methylcytosine (m5C) is an important epitranscriptomic modification involved in RNA stability, translation, and post-transcriptional regulation. Accurate identification of m5C sites remains challenging due to limited sequence representation and... read more 

Visit-to-visit systolic blood pressure variability and risk of severe hypertensive episodes in a multicenter cohort.

American journal of hypertension
BACKGROUND: Visit-to-visit blood pressure variability has been associated with cardiovascular outcomes; however, its role in predicting severe blood pressure (BP) elevation requiring emergency department care remains uncertain. We investigated whethe... read more 

Development and Validation of a Machine Learning Model for Predicting Postoperative Delirium in Elderly Patients with Hip Fracture: A Retrospective Cohort Study.

Acta orthopaedica Belgica
Postoperative delirium (POD) is a common and serious complication in elderly hip fracture patients, including those undergoing surgery for femoral neck fractures and intertrochanteric fractures, and is associated with poor clinical outcomes. Early id... read more