Artificial Intelligence Medical Compendium

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

Showing 61,891 to 61,900 of 230,319 articles

Thinking about tomorrow: A population-based natural language processing analysis of young adults' hopes and worries for the future.

Journal of affective disorders
BACKGROUND: The recent declines in youth mental health highlight the need for research into the factors underlying distress and those that foster well-being. Open-ended text responses offer the potential to reveal novel insights, but remain an underu... read more 

The role of the kynurenine pathway in the pathophysiology of autism-like phenotype induced by maternal inflammation in male mice.

Neurobiology of disease
Autism spectrum disorder (ASD) is a neurodevelopmental disorder with core symptoms that may include deficits in communication, social challenges, and repetitive/stereotyped behavior. The etiology of ASD is not well defined, but both genetic and envir... read more 

Machine learning-based prediction of carbohydrate productivity in continuous cultivation of Chlorella vulgaris.

Bioresource technology
Predicting carbohydrate productivity in continuous microalgae cultivation systems remains a significant technical challenge due to the non-linear nature of metabolic pathways under multiple stresses. This study applied Machine Learning (ML) models to... read more 

A Machine Learning Approach to Deciphering the Genomic Basis of Host Specificity and Geographic Origin in Salmonella Kentucky.

Journal of food protection
In the U.S., Salmonella Kentucky is frequently isolated from food animals, but human cases are often linked to international travel. The objectives of this study were to utilize machine learning models to predict the animal hosts (bovine or poultry) ... read more 

Localization of the Berger effect in human posterior brain regions with simultaneous electroencephalogram (EEG) and stereo-EEG (SEEG) recordings.

NeuroImage
The Berger effect, characterized by a marked increase in alpha power (8-13 Hz) upon eye closure, is a fundamental neurophysiological phenomenon whose underlying neural networks and generating mechanism is not fully understood. To delineate this netwo... read more 

Multimodal-based crystal graph convolution neural networks for predicting soil toxicity to earthworms.

Environmental research
Modeling approaches have been developed to quantitatively assess chemical toxicity in soil. However, an integrated modeling framework that incorporates molecular-level features, exposure conditions in soil, and the intrinsic properties of both organi... read more 

Artificial intelligence in animal anatomy: Exploring the technologies, applications, benefits, and challenges.

Annals of anatomy = Anatomischer Anzeiger : official organ of the Anatomische Gesellschaft
BACKGROUND: Animal anatomy is revolutionised by use of digital techniques where it is implicated in research, education, and diagnostics. Modern computational tools assist in analysis and mimic human logic and reasoning to solve a problem. Digital te... read more 

Clinical evaluation and bone loss prediction of titanium-zirconium implants: A retrospective study of 1-5-year follow-up.

Journal of dentistry
OBJECTIVES: To evaluate the clinical and radiographic outcomes of titanium-zirconium implants, identify risk factors and develop predictive models for bone loss progression. METHODS: Patients with titanium-zirconium implants were screened for inclusi... read more 

A neural pattern for fear of neck movement: Development and response to targeted treatment.

The journal of pain
Fear of movement is a main driver of disability and a key treatment target in chronic pain, though its neurobiological bases remain poorly understood. Here, we combine functional MRI with machine learning to identify and evaluate a brain pattern of f... read more 

A Framework for Healthcare from the Eye: Oculomics as a Powerful Window to Systemic Health.

Ophthalmology
PURPOSE: To present a comprehensive framework for integrating oculomics to assess ocular and systemic health into coordinated health care delivery models. DESIGN: Conceptual framework based on current scientific evidence, existing clinical implementa... read more