Artificial Intelligence Medical Compendium

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

Showing 62,501 to 62,510 of 230,507 articles

Symptom status and non-calcified plaque burden across CAC strata: insights from AI-based CCTA quantification.

The international journal of cardiovascular imaging
To investigate whether non-calcified coronary plaque (NCP) volume differs between symptomatic versus asymptomatic individuals across strata of coronary artery calcium (CAC) score, and whether symptom status adds incremental value beyond CAC. In this ... read more 

Interpretable machine learning using CT radiomics predicts pathological upgrading after secondary resection in non-muscle-invasive bladder cancer.

BMC cancer
BACKGROUND AND PURPOSE: Repeat transurethral resection (ReTUR) is essential for reducing residual and recurrent non-muscle-invasive bladder cancer (NMIBC). Pathological upstaging after ReTUR significantly influences prognosis. This study aimed to dev... read more 

Roles of microorganisms in the flavor evolution of prepared aquatic foods: comprehensively understanding their metabolic mechanisms, quorum sensing, and innovative regulation strategies.

Critical reviews in food science and nutrition
Prepared aquatic foods refer to ready to eat, heat, cook, and use aquatic products. These foods are gaining popularity as a result of consumer preference for their peculiar flavor. Flavor deterioration of prepared aquatic foods directly impacts the s... read more 

Lesion stratification with intracoronary imaging.

EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology
Intracoronary (IC) imaging-guided percutaneous coronary intervention (PCI) improves clinical outcomes in patients with high clinical and anatomical risk when compared to interventions guided by angiography alone. Recent Class I recommendations for th... read more 

Development of an artificial intelligence-based algorithm for the detection of left atrial enlargement from feline thoracic radiographs.

The veterinary quarterly
A heart-convolutional neural network (heart-CNN) was developed and tested for the automatic detection of left atrial enlargement (LAE) from feline thoracic radiographs. A retrospective and multicenter study was performed. Right lateral and dorso-vent... read more 

The most vulnerable are prone to use AI therapists: The role of attachment, epistemic trust, and mental health symptoms in acceptance of digital mental health interventions.

Psychotherapy research : journal of the Society for Psychotherapy Research
OBJECTIVE: Digital mental health interventions (DMHIs) offer scalable solutions to traditional barriers in mental healthcare. Acceptability of DMHIs might differ among patients with differing level of symptoms and relational difficulties. This study ... read more 

Machine Learning-Driven Nanopore Sensing for Quantitative, Label-Free miRNA Detection.

Small methods
Nanopore sensors offer exceptional sensitivity for detecting single molecules, making them ideal for early disease diagnostics. In this study, we present a multiplexed nanopore-based assay that combines DNA-barcoded probes with advanced computational... read more 

Deep learning in stroke therapeutics: drug repurposing and beyond.

Expert opinion on drug discovery
INTRODUCTION: Deep learning is reshaping stroke research by accelerating drug repurposing amid heterogeneous pathology, narrow therapeutic windows, and poor translation. This review highlights current therapeutic challenges and emerging DL applicatio... read more