Artificial Intelligence Medical Compendium

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

Showing 56,271 to 56,280 of 226,846 articles

Head-to-Head Comparison of 2 Artificial Intelligence Computer-Aided Triage Solutions for Detecting Intracranial Hemorrhage on Noncontrast Head CT.

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: This study aims to provide a comprehensive comparison of the performance and reproducibility of 2 commercially available artificial intelligence (AI) software computer-aided triage and notification solutions, Vendor A (Aidoc) ... read more 

Outcome Prediction in Pediatric Traumatic Brain Injury Utilizing Social Determinants of Health and Machine Learning Methods.

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: Considerable socioeconomic disparities exist among pediatric patients with traumatic brain injury (TBI). This study aims to analyze the effects of social determinants of health on head injury outcomes and to create a novel mac... read more 

Genomic species delimitation reveals sympatry in Tasmanian egg-laying velvet worms (Onychophora: Peripatopsidae: Ooperipatellus Ruhberg, 1985).

Invertebrate systematics
Ooperipatellus Ruhberg, 1985 is a genus of egg-laying Onychophoran (velvet worm) known from Australia and Aotearoa New Zealand. To date, velvet worm systematics and taxonomy has largely used either morphological, single locus molecular data or a comb... read more 

Evaluating an Adaptive, Web-Based Training Program for Teaching Older Adults Experiencing Cognitive Difficulties to Use an Electronic Memory and Management Aid.

Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists
OBJECTIVE: Older adults with cognitive concerns can benefit from technology-based compensatory strategies to support independent functioning, but in-person training can be costly and difficult to scale. Web-based training offers a promising alternati... read more 

Introduction to Methods in Artificial Intelligence and Cognitive Neurology.

Dental clinics of North America
This article introduces the concepts of artificial intelligence and machine learning, by providing a brief history of major advancements and a nontechnical overview of one of the most popular implementations in use today-the neural network. Then, the... read more 

Introduction to Large Language Models and the Application of Generative Artifical Intelligence in Dental Education and Clinical Practice.

Dental clinics of North America
This article analyzes how large language models (LLMs) and generative artificial intelligence (GenAI) are reshaping dental education and practice. In education, they enable simulated clinical cases, adaptive learning, and reinforcement of diagnostic ... read more 

Artificial Intelligence and its Applications in Orthodontics and Dentofacial Orthopedics.

Dental clinics of North America
In this article, the authors review the potential influence and benefits of artificial intelligence (AI) in orthodontics and dentofacial orthopedics with particular emphasis on current applications and emerging developments. Specific focus areas such... read more 

Toward Smart and Adaptive Endovascular Devices: The Role of Digital Twins in Precision Vascular Medicine.

Interventional cardiology clinics
Endovascular implants, such as stents, flow diverters, and endografts, have reshaped cardiovascular therapy but still face trade-offs in restenosis, thrombosis, sizing, and fatigue. Conventional, prototype-driven development is expensive and ill-suit... read more 

Early Implications for Solid Organ Transplantation With the Use of Artificial Intelligence From a Bibliometric Perspective.

Mayo Clinic proceedings. Digital health
Artificial intelligence (AI) is increasingly transforming health care, particularly in solid organ transplantation, where it addresses complex challenges such as organ allocation, graft rejection prediction, and immunosuppressive management. This bib... read more 

Artificial intelligence driven protein design and sustainable nanomedicine for advanced theranostics.

Bioactive materials
The integration of artificial intelligence, protein engineering, and sustainable nanomedicine is driving a paradigm shift in theranostics by enabling highly precise disease diagnosis and targeted therapy. AI-driven methodologies, including machine le... read more