Artificial Intelligence Medical Compendium

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

Showing 16,601 to 16,610 of 213,568 articles

Single-trial EEG-based classification reveals Instrument-Specific Timbre Perception via traditional Machine Learning Classifiers.

NeuroImage
Many users of hearing aids report challenges when listening to music. In the future, it may be possible to develop hearing aids that monitor brain activity in real-time and adapt their output to the volitions of the user. In music, this could mean se... read more 

Artificial intelligence classification of spatial CD8 + T-cell distribution on computed tomography in oropharyngeal cancer.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
CD8 + T-cell presence and distribution in oropharyngeal cancer (OPC) reflects specific immune phenotypes and are linked to prognosis. Image processing methods such as convolutional neural networks (CNN) may enhance treatment decisions. From standard ... read more 

Multicenter validation and randomized crossover reader evaluation of deep learning-assisted tri-sequence three-dimensional MRI segmentation for hypopharyngeal tumor.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
BACKGROUND AND PURPOSE: Accurate MRI-based target delineation for hypopharyngeal squamous cell carcinoma (HPSCC) is clinically important but expertise dependent. We aimed to develop a multicenter-validated tri-sequence deep-learning model, determine ... read more 

Limited Femoral Joint-Line Alteration and Preserved Extension Lateral Laxity Enhanced Early Outcomes in restricted kinematic alignment TKA.

The Journal of arthroplasty
BACKGROUND: Restricted kinematic alignment (rKA) total knee arthroplasty (TKA) seeks to restore native alignment while limiting excessive correction. The influence of alignment change magnitude and intraoperative gap characteristics on early patient-... read more 

Assessing the clinical deployability of AI tools for caries detection: A structured narrative synthesis and proposed framework.

Journal of dentistry
OBJECTIVE: To synthesise how studies evaluating AI-based caries detection on bitewing radiographs report evidence relevant to real-world clinical use beyond discrimination metrics (e.g., sensitivity, specificity, and area under the curve [AUC]), and ... read more 

High cardiorespiratory fitness is associated with younger brain age: the role of systemic inflammation.

Brain, behavior, and immunity
OBJECTIVES: To examine the relationship between cardiorespiratory fitness (CRF) and brain aging, and the extent to which this is mediated by systemic inflammation. METHODS: This study included 4,770 adults from the UK Biobank (mean age: 55.37 ± 7.50 ... read more 

SDP-ChroNet: A shared dilated pooling network for chromatin interaction prediction.

Gene
A deep understanding of chromatin interactions is crucial for elucidating the mechanisms of gene expression regulation. Although various computational methods have been proposed to predict chromatin interactions and address the limitations and high c... read more 

Application of Health Examination in Early Screening of Tumors.

Seminars in ultrasound, CT, and MR
Early detection of tumors constitutes a cornerstone of cancer prevention and control. Medical assessments alongside emerging screening modalities provide a foundational framework that facilitates early detection and contributes to reductions in both ... read more 

A Dynamic Machine Learning Approach to Complement Nurse-Led Clinics in Identifying High-Risk Patients with Intermittent Claudication.

Annals of vascular surgery
OBJECTIVE: To develop and validate dynamic machine-learning models to predict 6-month adverse outcomes in intermittent claudication (IC), enabling risk-ranked prioritization for surveillance and timely revascularisation. METHODS: This study included ... read more 

Pre-analytical standardization and multi-biofluid harmonization for liquid biopsy biomarkers in lung cancer: From discovery to clinical laboratory implementation.

Clinica chimica acta; international journal of clinical chemistry
Lung cancer remains the leading cause of cancer-related mortality worldwide, with early detection being critical for improving survival outcomes. Liquid biopsy using circulating biomarkers from blood, urine, saliva, sputum, exhaled breath condensate ... read more