Artificial Intelligence Medical Compendium

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

Showing 30,691 to 30,700 of 220,177 articles

Automated Identification of Cardiopulmonary Disease Cases for Preoperative Risk Stratification Using Machine Learning: A Retrospective Analysis.

A&A practice Apr 15, 2026
BACKGROUND: Preoperative chart review is time-consuming and prone to errors, particularly for cardiopulmonary conditions that impact anesthetic planning. We developed a guideline-aligned "clinical insight bot" that mines free-text documentation to su... read more 

Fact-Checking Large Language Model Responses to a Health Care Prompt: Comparative Study.

JMIR formative research Apr 15, 2026
BACKGROUND: Large language models use machine learning to produce natural language. These models have a range of potential applications in health care, such as patient education and diagnosis. However, evaluations of large language models in health c... read more 

A Method for the Detection of Tire Wear Microplastics in Zebrafish Guts by Laterally Resolved LA-ICP-MS-Based Elemental Fingerprinting and Chemometrics.

Analytical chemistry Apr 15, 2026
Tire wear particles (TWPs) are generated by mechanical abrasion of tires on road surfaces and represent a significant source of microplastic pollution, contributing an estimated 30-50% of total microplastic emissions in Europe. Due to their persisten... read more 

Explainability Methods from Machine Learning Detect Important Drugs' Atoms in Drug-Target Interactions.

Journal of chemical information and modeling Apr 15, 2026
Predicting drug-target interactions (DTI) with graph neural networks (GNNs) is hindered by their lack of interpretability. To address this, we benchmark four explainable artificial intelligence (XAI) attribution methods on GNN models trained for kina... read more 

Event-Driven Neuromorphic Gaze Decoding via e-Skin Electrooculography.

ACS nano Apr 15, 2026
Wearable eye-tracking technologies remain constrained by bulky optics, high power consumption, and reliance on external computation. We present a hardware-software codesigned electrooculography (EOG) interface that integrates ultrathin conformal e-sk... read more 

Targeted Surface-Enhanced Raman Scattering for Highly Accurate Identification of Bacterial Species and Finding Spectral Signatures with Explainable Artificial Intelligence.

ACS nano Apr 15, 2026
The analysis of complex Raman spectra from biological samples has traditionally relied on conventional chemometric-based methods, the performance of which has been further improved by artificial intelligence (AI). The accurate identification of bacte... read more 

Integrating Next-Generation Sequencing into von Willebrand Disease Diagnostics: Insights from the PCM-EVW-ES Multicenter Project.

Seminars in thrombosis and hemostasis Apr 15, 2026
Von Willebrand disease (VWD) is the most common inherited bleeding disorder, caused by quantitative or qualitative defects in von Willebrand factor (VWF). Diagnosis is challenging and requires integrating bleeding history, VWF antigen and activity me... read more 

Deep Learning-Based Contrast-Enhanced Ultrasound for Ki-67 Assessment and Prognosis in Hepatocellular Carcinoma.

Biomedical physics & engineering express Apr 15, 2026
Ki-67 is a critical prognostic marker for hepatocellular carcinoma (HCC), yet its clinical assessment relies on invasive biopsy. This study aimed to develop a deep learning framework using contrast-enhanced ultrasonography (CEUS) for non-invasive Ki-... read more 

A novel machine learning approach for prediction of postoperative delirium using multi-domain features of high-density EEG.

Biomedical physics & engineering express Apr 15, 2026
Postoperative delirium (POD) poses a significant risk to patients, and accurate prediction of postoperative delirium can provide guidance for positive interventions. Although many studies have applied machine learning (ML) to electronic health r... read more 

Brain tumors classification using electrical bioimpedance spectroscopy based on a multi-scale feature extraction network with frequency band attention mechanism.

Biomedical physics & engineering express Apr 15, 2026
Electrical bioimpedance (EBI) measurement provides insights into the biophysical properties of tissues, offering valuable information for tumor diagnosis and classification. Deep learning has demonstrated distinct advantages in analyzing complex biom... read more 
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