Artificial Intelligence Medical Compendium

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

Showing 68,371 to 68,380 of 233,231 articles

A comparative analysis of SCALE-CTP and RAPID in determining the affected brain volumes of patients with ischemic stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
BACKGROUND: Computed tomography perfusion (CTP) is widely used to treat acute strokes. The affected brain volume, measured based on the threshold value in the calculated CTP map, has helped guide treatment decisions. We proposed a new software progra... read more 

Precision medicine in Moyamoya vasculopathy.

Current opinion in neurology
PURPOSE OF REVIEW: Moyamoya vasculopathy is a progressive cerebrovascular steno-occlusive disease with variable presentation. As revascularization techniques, antiplatelet therapies, and imaging-based artificial intelligence (AI) diagnostics continue... read more 

Environmental exposures, epithelial barrier dysfunction, and the evolving landscape of allergic disorders and asthma.

Current opinion in allergy and clinical immunology
PURPOSE OF REVIEW: Immediate hypersensitivity disorders, such as asthma, food intolerance, and anaphylaxis, have risen dramatically since the 20th century, marking a shift in the global disease burden. While mast cells have been associated with IgE-m... read more 

Risk Models for Adverse Events in Microsurgery for Intracranial Unruptured Aneurysms.

Neurosurgery
BACKGROUND AND OBJECTIVES: Preventive treatment of unruptured intracranial aneurysms (UIAs) requires assessment of treatment risks vs expected benefit. Although established scores exist to estimate rupture and growth risk, currently, no externally va... read more 

The Influence of Sport Representation and Attitudes Toward Strength Training on Neuromuscular Performance Profiles in University Athletes: Part I Female Athletes.

Journal of strength and conditioning research
McClean, ZJ, da Silva Torres, R, Herzog, W, Pasanen, K, Lun, V, Nimphius, S, and Jordan, MJ. The influence of sport representation and attitudes toward strength training on neuromuscular performance profiles in university athletes: part I female athl... read more 

Enhancing Asleep Deep Brain Stimulation Targeting for Essential Tremor Using Machine Learning: The OPTIVIM Phase 2 Study.

Neurosurgery
BACKGROUND AND OBJECTIVES: Deep brain stimulation (DBS) is an effective treatment of essential tremor, but the optimal target and how to reach it with the best accuracy remain controversial. The OptimDBS algorithm is based on Kernel Ridge Regression ... read more 

Multilayer Ag-Au-BP-TIBr-FASnI3 Kretschmann surface plasmon resonance biosensor for high sensitivity refractive index analysis: A computational and machine learning approach.

Analytica chimica acta
Detection of refractive-index variations is fundamental for the development of next-generation optical sensing platforms capable of supporting future biomedical and chemical monitoring applications. Surface plasmon resonance (SPR) biosensing enables ... read more 

Evaluation and improvement of algorithmic fairness for COVID-19 severity classification using Explainable Artificial Intelligence-based bias mitigation.

JAMIA open
OBJECTIVES: The COVID-19 pandemic has highlighted the growing reliance on machine learning (ML) models for predicting disease severity, which is important for clinical decision-making and equitable resource allocation. While achieving high predictive... read more 

Synergistic integration of multidimensional differential spectroscopy and deep learning for robust phenol monitoring in complex industrial effluents.

Analytica chimica acta
BACKGROUND: Phenol is a key chemical intermediate and a common, toxic pollutant found in industrial wastewater from processes like coking and oil refining. Its leakage and discharge lead to significant contamination, posing a dual threat to ecologica... read more