Artificial Intelligence Medical Compendium

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

Showing 44,091 to 44,100 of 224,055 articles

A hybrid machine learning approach for reliably predicting surface roughness in CNC turning operations.

Scientific reports Mar 6, 2026
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Objective assessment of familiarity in music using imagery and EEG-based machine learning.

Scientific reports Mar 6, 2026
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Development and validation of a machine learning model for individualised meropenem dosing in CRRT patients.

Scientific reports Mar 6, 2026
Optimizing meropenem dosing in critically ill patients undergoing continuous renal replacement therapy (CRRT) remains challenging due to significant pharmacokinetic variability. This study aimed to develop and validate a machine learning (ML)-based c... read more 

Prediction of Massage Force and Intra-abdominal Wall Deformation During Massage by a Digital Twin Model Based on an Abdominal Finite Element Model.

Annals of biomedical engineering Mar 6, 2026
PURPOSE: Constipation is a prevalent disorder of the digestive system, and abdominal massage is commonly employed to alleviate its symptoms due to its non-invasive nature and minimal side effects. This study aims to develop an accurate correlation mo... read more 

Multidisciplinary Optimization Design of pVADs Using Analytical Target Cascading-Guided Genetic Algorithm.

Annals of biomedical engineering Mar 6, 2026
PURPOSE: The purpose of this article is to address the limitations of inconsistency between the impeller and motor when designing Percutaneous ventricular assist devices for different clinical scenarios, such as cardiogenic shock and high-risk percut... read more 

Meta learning based few shot knowledge graph completion with domain selected aggregation.

Scientific reports Mar 6, 2026
With the rapid development of artificial intelligence, knowledge graphs have become increasingly important for many downstream reasoning tasks. Although large-scale knowledge graphs have been constructed in many domains, many relations still suffer f... read more 

Early risk stratification of acute kidney injury severity in patients with acute myocardial infarction and diabetes using machine learning.

Scientific reports Mar 6, 2026
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Single-cell and multi-omics analysis identifies mitophagy-related biomarkers and therapeutic targets in ischemic stroke.

Scientific reports Mar 6, 2026
Ischemic stroke (IS) remains a leading cause of death and disability, with limited effective treatments in the acute phase. Mitophagy, the selective degradation of damaged mitochondria, plays a crucial role in cellular homeostasis and survival during... read more 

RoentMod: a synthetic chest X-ray modification model to identify and correct image interpretation model shortcuts.

NPJ digital medicine Mar 6, 2026
Chest radiographs (CXRs) are among the most common tests in medicine; automated interpretation may reduce radiologists' workload and expand access. Deep learning multi-task and foundation models have shown strong CXR interpretation performance but ar... read more 

Percutaneous nephrostomy guidance by a convolutional-neural-network-based optical coherence tomography endoscope.

Communications engineering Mar 6, 2026
Percutaneous nephrostomy is widely used in kidney access surgeries. Despite its prevalence in urological interventions, it presents two operational challenges: 1) precise needle placement into the renal pelvis; and 2) avoiding hemorrhage from blood v... read more 
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