Artificial Intelligence Medical Compendium

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

Showing 46,711 to 46,720 of 224,199 articles

GraphUnet-SS: A novel deep learning model for protein secondary structure prediction based on U-Net architecture.

Computers in biology and medicine
Prediction of the 3-D structure of a protein, which can be used to determine its function, is one of the most challenging problems in the bioinformatics field. Protein secondary structure prediction (PSSP) is a crucial step for protein 3-D structure ... read more 

Designing a machine learning model for predicting cardiovascular events using the triglyceride-glucose index: a cohort study.

Computers in biology and medicine
INTRODUCTION: Cardiovascular diseases (CVD) are the leading cause of death in developing countries, imposing a significant burden on society. Early detection of patients at higher risk of CVD events could reduce mortality. None of the models currentl... read more 

Molecular basis of muscle wasting and emerging therapeutic strategies targeting degenerative muscle disorders.

Experimental cell research
Muscle degenerative conditions, including sarcopenia, muscular dystrophies, and trauma-induced muscle loss, severely compromise mobility, metabolism, and overall health. These disorders result from multifactorial causes such as imbalances in protein ... read more 

Artificial Intelligence Chatbots Taking American Board of Endodontics Simulated Oral Board Examination.

Journal of endodontics
INTRODUCTION: The aim of this study was to assess the overall performance of artificial intelligence (AI) chatbots in taking the American Board of Endodontics simulated Oral Board Examination. METHODS: Three oral board cases were constructed by 2 aca... read more 

New treatments to rabies virus infections.

Antiviral research
Rabies disease is the deadliest of all virus infections. Till now, vaccination is the most effective and reliable treatment for controlling rabies. However, despite the high efficiency of inactivated vaccines, multiple-dose vaccinations and the high ... read more 

UCVA ontology: Standardizing local context factors to support the analysis of unwarranted clinical variation.

Journal of biomedical informatics
OBJECTIVES: Unwarranted clinical variation (UCV), defined as care provided to a patient that is not proportional to the patient's needs, clinical characteristics, or preferences, results in negative patient outcomes. UCV detection is performed to com... read more 

Multi-dimensional dynamic monitoring of gut microbiota-emotion axis and precision exercise intervention in compulsory drug rehabilitation: A 24-week randomized controlled trial.

Psychology of sport and exercise
BACKGROUND/OBJECTIVES: Substance use disorders (SUDs) present a global health challenge with high relapse rates. Emerging evidence implicates gut microbiota dysbiosis in SUD pathophysiology via the gut-brain axis. This 24-week randomized controlled t... read more 

Beyond Human Variability: Deep Learning for Intravascular Ultrasound Segmentation With Noisy Labels.

Ultrasound in medicine & biology
OBJECTIVE: Intravascular ultrasound (IVUS) is an imaging modality that provides cross-sectional visualization of the coronary lumen and vessels. To address the challenges of expertise and time-consuming annotation for IVUS interpretation, deep learni... read more 

Evaluating the diagnostic accuracy of ChatGPT-4 in oral and maxillofacial lesions: a pilot clinical vignette study.

International journal of oral and maxillofacial surgery
There is growing interest in whether artificial intelligence (AI) large language models such as ChatGPT-4 can support clinicians and trainees in the diagnosis of oral and maxillofacial surgery (OMFS) lesions. This pilot study evaluated the diagnostic... read more 

Imagining and building wise machines: the centrality of AI metacognition.

Trends in cognitive sciences
Although artificial intelligence (AI) has become increasingly smart, its wisdom has not kept pace. In this opinion article, we examine what is known about human wisdom and sketch a vision of its AI counterpart. We introduce human wisdom as strategies... read more