Artificial Intelligence Medical Compendium

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

Showing 26,051 to 26,060 of 217,905 articles

Machine learning-based prediction of impaired arginine vasopressin secretion during hypertonic saline test.

Endocrine journal
Hypertonic saline infusion and water deprivation tests are commonly used to stimulate arginine vasopressin (AVP) for the diagnosis of AVP deficiency (AVP-D); however, these procedures impose a considerable burden on patients. We aimed to develop mach... read more 

Longitudinal assessment of chorea in Huntington's disease using digital passive monitoring.

NPJ digital medicine
Chorea is a hallmark of Huntington's disease (HD), yet its clinical assessment is of limited reliability, impairing our ability to sensitively evaluate its progression. We evaluated passive monitoring for estimating the two-year evolution of upper li... read more 

Forest carbon stock estimation in a mountainous region using locally adaptive machine learning approaches.

Environmental monitoring and assessment
Accurate estimation of forest carbon stocks is essential for climate change mitigation, particularly in mountainous regions where strong spatial heterogeneity constrains the performance of conventional remote sensing models. This study investigates w... read more 

Enhancing genomic prediction for key production traits in chickens through ultrasound phenotyping and multi-model comparative analysis.

Journal of animal science and biotechnology
BACKGROUND: Growth performance and carcass traits are economically vital in poultry breeding. In Wenchang chickens, reducing excessive abdominal fat represents a critical breeding objective. However, as a typical carcass trait, abdominal fat thicknes... read more 

Neural posterior estimation for population genetics.

Genetics
Simulation-based inference methods are increasingly being used in population genetics due to their flexibility and ability to be applied in settings where likelihood-based methods are intractable. Perhaps the best known such method is Approximate Bay... read more 

Atomic clarity: how structural biology is shaping blood-stage malaria vaccines.

Transactions of the Royal Society of Tropical Medicine and Hygiene
Developing an effective malaria vaccine is challenging because Plasmodium parasites use complex strategies to invade host cells. The blood stage, where parasites replicate inside red blood cells, causes disease symptoms and relies on large multiprote... read more 

Opportunities and challenges related to participant stratification and cohort enrichment in ALS clinical trials.

Amyotrophic lateral sclerosis & frontotemporal degeneration
Amyotrophic lateral sclerosis (ALS) is marked by substantial clinical heterogeneity. This heterogeneity has impacted clinical trials by obscuring treatment effects and causing inefficiency. In this review, we summarize potential approaches for addres... read more 

Performance of a residual neural network system versus dental technicians for gingival porcelain shade matching.

Journal of prosthodontics : official journal of the American College of Prosthodontists
PURPOSE: This study aimed to compare the accuracy of a residual neural network (ResNet) system with experienced dental technicians for gingival shade prediction. MATERIALS AND METHODS: CIELab (L*, a*, b*) coordinates were measured from three adjacent... read more