Artificial Intelligence Medical Compendium

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

Showing 70,671 to 70,680 of 234,208 articles

Deep ensemble model with blockchain technology for lung cancer detection with secured data sharing.

Computational biology and chemistry
Lung cancer is one of the leading causes of cancer-related mortality globally, primarily due to the high frequency of late-stage diagnoses. While existing models have shown potential for enhancing diagnostic accuracy and enabling earlier detection, t... read more 

Artificial intelligence-driven oocyte scores are associated with early morphokinetics and embryo outcomes after intracytoplasmic sperm injection.

Reproductive biomedicine online
RESEARCH QUESTION: How are the scores obtained using the deep learning-based oocyte assessment system, MAGENTA, associated with outcomes of intracytoplasmic sperm injection (ICSI) and biological events during the preimplantation period? DESIGN: Retro... read more 

A systematic review of vision and vision-language foundation models in ophthalmology.

Advances in ophthalmology practice and research
BACKGROUND: Vision and vision-language foundation models, a subset of advanced artificial intelligence (AI) frameworks, have shown transformative potential in various medical fields. In ophthalmology, these models, particularly large language models ... read more 

Leveraging explainable machine learning models to predict moderate to severe obstructive sleep apnea in heart failure with preserved ejection fraction patients: A comorbidity perspective.

International journal of cardiology
BACKGROUND: Obstructive sleep apnea (OSA) is commonly observed in patients with heart failure with preserved ejection fraction (HFpEF), exacerbating the severity of the disease. Identifying the composition of disease clusters and understanding the as... read more 

A Novel BERT-Based Machine Learning Approach for Enhanced CSF Leak Prediction in Endoscopic Endonasal Skull Base Surgery.

Journal of neurological surgery. Part B, Skull base
OBJECTIVES: To evaluate the performance of the BERT (bidirectional encoder representations from transformers) model in predicting cerebrospinal fluid (CSF) leaks and compare it with traditional logistic regression analysis. METHODS: In this study, we... read more 

A deep learning approach to predicting hospitalized patients' SEIRD states using multimodal spatiotemporal data.

International journal of medical informatics
BACKGROUND AND OBJECTIVE: The increasing prevalence of hospital-acquired infections (HAIs) due to antimicrobial resistance presents a formidable challenge to patient outcomes and resource allocation. Existing prediction models often operate at a popu... read more 

DNUNet: A lightweight adaptive medical image segmentation network based on dual-path multilevel interactive convolution and norm sparse fusion module.

Neural networks : the official journal of the International Neural Network Society
Deep learning has demonstrated excellent performance in medical image segmentation and plays an important role in clinical diagnosis and treatment. With the growing demand for portable medical devices and real-time segmentation, the efficiency and li... read more 

Utility of the PROSTest, a Novel Blood-Based Molecular Assay, Versus PSA for Prostate Cancer Stratification and Detection of Disease.

The Prostate
BACKGROUND: Prostate cancer (PCa) is the most common solid organ cancer in men and the fifth leading cause of cancer-related deaths globally. PSA helps identify men at risk but has low specificity and has resulted in unnecessary biopsies. The PROSTes... read more 

Beyond self-reports after anterior cruciate ligament injury - machine learning methods for classifying and identifying movement patterns related to fear of re-injury.

Journal of sports sciences
Anterior cruciate ligament (ACL) tears are prevalent career-ending sports injuries. A barrier to successful return to activity is fear of re-injury. Evaluating psychological readiness is however limited to insufficient self-reported assessments. We d... read more 

Tracking the Debate: Geo-Temporal Sentiment Analysis of Community Water Fluoridation on 'X' (Formerly Twitter) With Five-Year Forecast.

Community dentistry and oral epidemiology
OBJECTIVES: This study examined country-level geo-temporal sentiment trends in community water fluoridation (CWF) discussions on 'X' from 2014 to 2023 and generated a five-year forecast to anticipate future shifts. METHODS: Sentiment analysis was con... read more