Artificial Intelligence Medical Compendium

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

Showing 54,471 to 54,480 of 226,183 articles

Development and validation of a fentanyl quantification model for drug checking services.

Drug and alcohol dependence reports
BACKGROUND: Drug checking services are becoming increasingly popular. Despite the significant variability in fentanyl concentrations observed in the unregulated opioid supply, quantifying fentanyl concentrations using community drug checking technolo... read more 

Biological aging across the metabolic dysfunction-associated steatotic liver disease spectrum: A systematic review.

iLIVER
BACKGROUND AND AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing global health burden. Geroscience posits that accelerated biological aging is a key driver of chronic disease. We systematically reviewed the evidence ... read more 

A scoping review of portable ultra-low-field MRI studies in patients with acquired brain injury: Past, present, and future.

Neuroimage. Reports
Acquired Brain Injury (ABI) refers to any post-birth damage to the brain, commonly resulting from traumatic events (traumatic brain injury) or non-traumatic events (such as stroke, brain disease, or infection). In Australia, ABI places a substantial ... read more 

De novo biosynthesis of eriocitrin in Saccharomyces cerevisiae through deep learning-guided enzyme screening and systematic metabolic engineering.

Synthetic and systems biotechnology
Eriocitrin, a flavanone-7-O-disaccharide known for its antioxidant and anti-inflammatory properties, holds considerable promise for use in functional foods and pharmaceuticals. However, its large-scale production is constrained by the limitations of ... read more 

Forensic inference in Africa: Evaluating population structure, databases, and regional assignment accuracy.

Forensic science international. Genetics
This study reports novel 21 aSTR (autosomal Short Tandem Repeats) allele frequencies from 538 individuals, as well as 11 triallelic profiles, representing seven Bantu-speaking groups in Southern Africa (Ndebele, Pedi, Phuthi, Tsonga, Sotho, Swati, an... read more 

Predicting the usage of seasonal drugs by utilizing advanced machine learning: An albuterol case study.

Research in social & administrative pharmacy : RSAP
Manual forecasting of seasonal medication demand results in inefficiencies and labor burden. With the advancement of machine learning, there is an opportunity to develop a machine learning model that can predict the expected usage of medication for t... read more 

Recent advances in wearable biophysical sensors for continuous muscle monitoring.

Biosensors & bioelectronics
Continuous muscle monitoring is paramount for revealing the dynamics of neuromuscular behaviors including fatigue kinetics, muscle recruitment, coordination strategies, and movement adaptations. This capability is fundamental for advancing neurorehab... read more 

On the inherent robustness of one-stage object detection against out-of-distribution data.

Neural networks : the official journal of the International Neural Network Society
Robustness is a fundamental aspect for developing safe and trustworthy models, particularly when they are deployed in the open world. In this work we analyze the inherent capability of one-stage object detectors to robustly operate in the presence of... read more 

Dental Therapeutic Applications of Nanotechnology and Artificial Intelligence (AI).

Dental clinics of North America
The integration of nanotechnology and artificial intelligence (AI) in dentistry offers transformative potential for diagnostics, treatment, and prevention. Guided by AI, nanobots can deliver targeted anesthesia, enhance caries prevention strategies, ... read more