Artificial Intelligence Medical Compendium

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

Showing 13,681 to 13,690 of 211,462 articles

Diabetic retinal disease cure accelerator: Modernizing staging and endpoints.

Progress in retinal and eye research
The "Diabetic Retinal Disease (DRD) Cure Accelerator," a joint initiative by the Mary Tyler Moore Vision Initiative and the Collaborative Community on Ophthalmic Innovation, aims to modernize clinically meaningful staging systems and endpoints for DR... read more 

Precision pharmacology of CNS GPCRs: From biased signaling to translational therapeutics.

Progress in neuro-psychopharmacology & biological psychiatry
G protein-coupled receptors (GPCRs) represent one of the most extensively targeted receptor families in central nervous system (CNS) pharmacology. Recent advances in GPCR biology have transformed traditional paradigms by introducing concepts such as ... read more 

Novel post-translational modification learning signature reveals DPP3 promotes progression of psoriasis by enhancing inflammatory activation.

Gene
BACKGROUND: Although post-translational modifications (PTMs) significantly influence the pathogenesis of psoriasis, their specific mechanisms remain poorly understood. This study aimed to identify novel PTM-targeted therapeutic avenues for the precis... read more 

250 Years of Medicine and Democracy in America.

The American journal of medicine
As the United States approaches its 250th anniversary, this perspective examines the intertwined evolution of medicine and democracy as mutually reinforcing systems grounded in shared principles of human dignity, rights, and collective responsibility... read more 

Integrating Artificial Intelligence into Dental Student Assessments: Current & Future Status.

Journal of dentistry
OBJECTIVES: Integrating AI into traditional forms of medical and dental education has been received optimistically, yet cautiously. Although the use of AI in healthcare student assessment is well established, its use in the assessment of dental stude... read more 

DBSCAN Applied to EHRs Data from Patients with Glioblastoma Finds Clusters Based on Cytosolic Hsp70 Protein, Sex, and Brain Subventricular Zone.

Studies in health technology and informatics
Glioblastoma is an aggressive brain cancer that kills approximately one hundred thousand people worldwide every year. Unfortunately, treatment and therapy for patients with this disease are complicated and have limited efficacy in improving individua... read more 

Prediction of Postoperative Complications Following Mandibular Fractures Using Machine Learning.

Studies in health technology and informatics
Postoperative complications in oral and maxillofacial surgery (OMFS), pose a significant challenge to patient recovery. Accurate prediction of such complications could enable earlier interventions and improve clinical outcomes. Advances in machine le... read more 

Estimating Transepidermal Water Loss from Smartphone Facial Images Using Self-Supervised Features and a Mixture Density Network.

Studies in health technology and informatics
Skin conditions fluctuate daily, and the subtle changes are difficult to detect. Transepidermal water loss (TEWL), a key indicator of skin barrier function, is effective for monitoring these changes; however, its measurement requires specialized and ... read more 

Fully Automated Colon Delineation and Volume Estimation in T2-Weighted MRI with a 2D U-Net.

Studies in health technology and informatics
Artificial intelligence has the potential to provide an objective, accurate and fast evaluation of the colon for clinical assessment of gastrointestinal diseases, such as chronic constipation. Accurate colon segmentation is a labor-intensive task, pr... read more