Artificial Intelligence Medical Compendium

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

Showing 47,201 to 47,210 of 224,199 articles

Integrating Genetic and Biotechnological Approaches to Enhance High-CBD Cannabis sativa L. Cultivation for Medicinal Purposes.

Molecular biotechnology
The increasing demand for cannabidiol (CBD) and the relaxation of legal restrictions have driven the rapid expansion of cannabis research, cultivation, and commercialization. This review synthesizes current knowledge on optimizing high-CBD cannabis c... read more 

Clinical AI Applications in the Context of Cancer: Explaining Openness to Information and Consent to Use Through Risk Perceptions and Efficacy Beliefs.

Journal of health communication
The use of artificial intelligence (AI) in oncology holds immense potential for improving diagnostic accuracy and treatment outcomes. Yet, concerns about potential risks need to be addressed. To improve acceptance, understanding, and trust, it is cru... read more 

AI-Powered Intraoperative Navigation Photogrammetry for Complete-Arch Implant Impression and Immediate Loading With a 3D-Printed Temporary Prosthesis: A Prospective Clinical Study.

Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.]
OBJECTIVE: Despite the widespread clinical use of digital scanning, its accuracy for complete-arch implant impressions remains controversial. This study aimed to investigate the feasibility and clinical performance of an artificial intelligence (AI)-... read more 

Leveraging infarct topography for early warning: a robust model for predicting malignant cerebral edema after endovascular treatment in acute ischemic stroke.

BMC medical imaging
BACKGROUND: The early prediction of malignant cerebral edema (MCE) following endovascular therapy for acute ischemic stroke is of paramount importance for facilitating timely interventions. The present study aimed to create a comprehensive map of les... read more 

Automated classification of shoulder radiology focusing on cuff tear arthropathy and glenoid erosion using AI.

BMC musculoskeletal disorders
BACKGROUND: Recent advancements in the field artificial intelligence (AI), particularly in the architecture of convolutional neural network (CNN) architecture, have revolutionized medical imaging by enabling accurate image recognition. However, the a... read more 

TRKB-based signature identifies high-risk squamous cell carcinoma cases and TRKB blockade reprograms tumor and stromal cells toward suppressive phenotypes.

Journal of biomedical science
BACKGROUND: Cutaneous squamous cell carcinoma (cSCC) is a common age-related cancer, with a subset prone to recurrence and metastasis. Currently, no useful diagnostic biomarkers for high-risk cSCC are available. Based on our previous findings, indica... read more