Artificial Intelligence Medical Compendium

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

Showing 5,031 to 5,040 of 174,202 articles

Insights and Outlook from the First Ethical, Legal, and Social Implication Symposium of the BBMRI-ERIC Academy at International Agency for Research on Cancer/World Health Organization.

Biopreservation and biobanking
The first Biobanking and BioMolecular resources Research Infrastructure-Academy Ethical, Legal, and Social Implications (ELSI)'s Symposium, held in June 2024 at IARC/WHO in Lyon, explored ethical, legal, and societal dimensions of biobanking and biom... read more 

Artificial intelligence in intensive care unit: Current ethical dilemmas.

The Medico-legal journal
The assessment of neurocritical patients may be complex; they are a vulnerable population, according to the Helsinki Declaration. Currently, the use of artificial intelligence (AI) in critical care settings may pose a dilemma for medico-legal reasons... read more 

Vision Transformers for Kidney Stone Image Classification: A Comparative Study with CNNs

arXiv
Kidney stone classification from endoscopic images is critical for personalized treatment and recurrence prevention. While convolutional neural networks (CNNs) have shown promise in this task, their limited ability to capture long-range dependencie... read more 

Eliminating Rasterization: Direct Vector Floor Plan Generation with DiffPlanner

arXiv
The boundary-constrained floor plan generation problem aims to generate the topological and geometric properties of a set of rooms within a given boundary. Recently, learning-based methods have made significant progress in generating realistic floo... read more 

Exploring the Perspectives of Pediatric Health Care Providers, Youth Patients, and Caregivers on Machine Learning Suicide Risk Classification: Mixed Methods Study.

Journal of medical Internet research
BACKGROUND: Suicide was the second leading cause of death for youth aged between 10 and 24 years in 2023, necessitating improved risk identification to better identify those in need of support. While machine learning (ML) applied to electronic health... read more 

Metabolomics and nutrient intake reveal metabolite-nutrient interactions in metabolic syndrome: insights from the Korean Genome and Epidemiology Study.

Nutrition journal
BACKGROUND: Despite advances in metabolomics, the complex relationship between metabolites and nutrient intake in metabolic syndrome (MetS) remains poorly understood in the Korean population. read more 

Effectiveness of generative artificial intelligence-based teaching versus traditional teaching methods in medical education: a meta-analysis of randomized controlled trials.

BMC medical education
BACKGROUND: Artificial intelligence (AI) has demonstrated remarkable capabilities across diverse medical applications, potentially revolutionizing healthcare delivery systems. This systematic review and meta-analysis investigated the comparative effe... read more 

A plasma proteomics-based candidate biomarker panel predictive of amyotrophic lateral sclerosis.

Nature medicine
Identifying a reliable biomarker for amyotrophic lateral sclerosis (ALS) is crucial for clinical practice. Here, in this cross-sectional study, we used the Olink Explore 3072 platform to investigate plasma proteomics as a biomarker tool for this neur... read more 

Real time machine learning prediction of next generation sequencing test results in live clinical settings.

NPJ digital medicine
Next-generation sequencing-based tests have advanced the field of medical diagnostics, but their novelty and cost can lead to uncertainty in clinical deployment. The Heme-STAMP is one such assay that tracks mutations in genes implicated in hematolymp... read more