Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 213,633 articles

Performance of Large Language Model-Based Chatbots in Primary Health Care Teleconsultations: A Comparison Between Human and Artificial Intelligence-Generated Responses.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association
INTRODUCTION: Telehealth is a strategic component of primary health care and has advanced in Brazil through the National Telehealth Program. Its benefits can be enhanced by artificial intelligence (AI), which has emerged as a promising tool. This stu... read more 

MULTIPREVENT: Integrated screening for smoking-related multimorbidity using low-dose chest computed tomography.

Public health
OBJECTIVES: Tobacco consumption, combined with individual genetic predispositions, contributes to an age-dependent risk not only for lung cancer but also for other non-communicable diseases (NCDs) such as cardiovascular disease (CVD), chronic obstruc... read more 

Radiation dose reduction in computed tomography perfusion of acute ischemic stroke patients using a denoising autoencoder.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
BACKGROUND: Ischemic stroke results from the occlusion of a cerebral artery and is a leading cause of mortality and disability worldwide. Multimodal computed tomography (CT), including CT perfusion (CTP) and CT angiography, is crucial to acute stroke... read more 

AV-NeXt: a topology-aware framework with interaction modeling and competitive gating for retinal artery/vein segmentation.

Medical & biological engineering & computing
Automated segmentation and classification of retinal arteries and veins (A/V) are pivotal for the precise morphological characterization required in the early diagnosis of systemic cardiovascular and ophthalmic pathologies. However, existing deep lea... read more 

Mapping Depression Correlated Amygdala Communication.

Brain topography
The amygdala is a central hub for emotional processing, whose interactions with large-scale brain networks have been implicated in the pathophysiology of depression. Investigating how amygdala-centered connectivity relates to depression in a communit... read more 

Advancing Cerebro-cerebellar Network Imaging with Ultra-high Field (7T) MRI: Progress and Future Challenges.

Cerebellum (London, England)
Ultra-high field (UHF) MRI (≥ 7T) is increasingly used to study the cerebro-cerebellar networks, offering substantial gains in signal-to-noise ratio and blood oxygen level dependent (BOLD) sensitivity that enable submillimeter functional and structur... read more 

Why bother with controlled-environment phenotyping when field phenomics is already up and running?

Journal of experimental botany
Plant phenomics has undergone rapid development over the past two decades, driven by advances in imaging, robotics, artificial intelligence and data analysis. Whilst field phenotyping is increasingly operational and scalable, the relevance of control... read more 

Artificial Intelligence for radiation protection in medical imaging and radiotherapy: A perspective from the AI Working Party of ICRP Committee 3.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
PURPOSE: The increasing integration of Artificial Intelligence (AI) into clinical workflows for medical imaging and radiotherapy presents new opportunities and challenges for the radiation protection of patients, staff, and the public. This perspecti... read more 

Systems-level genomic analyses reveal shared mechanisms underlying endometriosis and sleep disorders.

Functional & integrative genomics
We examined clinical, genetic, and molecular links between sleep disorders and endometriosis. Women aged 20-54 years in NHANES 2005-2006 were analyzed with survey-weighted logistic regression. Bidirectional two-sample Mendelian randomization (MR) was... read more