Artificial Intelligence Medical Compendium

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

Showing 45,221 to 45,230 of 224,055 articles

Cultivating Clarity: Integrating Zen-Informed Principles Into Contemporary Radiology Practice.

Academic radiology
Modern radiology requires sustained attention, rapid decision-making, and emotional resilience amid increasing imaging volumes, diagnostic complexity, and fragmented workflows. Task switching and high throughput can contribute to cognitive overload, ... read more 

AI-based BRAIx risk score for the intermediate-term prediction of breast cancer: a population cohort study.

The Lancet. Digital health
BACKGROUND: Artificial intelligence (AI)-based algorithms are being implemented in breast screening to detect breast cancers on mammographic images. We aimed to apply an epidemiological approach to demonstrate how a cancer detection algorithm can be ... read more 

Utilization of biocatalysts in an artificial photosynthesis system: A biotechnological approach towards sustainable development.

Journal of bioscience and bioengineering
Harnessing solar energy more efficiently and sustainably remains a key challenge in advancing renewable, bio-based production systems. Artificial photosynthesis tends to mimic natural photosynthesis by using catalytic systems and semiconductor assemb... read more 

Stacked Ensemble Model With Explainable AI for Early Detection of Heart Disease.

Analytical science advances
Heart disease (HD) is still one of the most common causes of death around the world. Early detection is very important, but it is often hard to do because the symptoms are not specific and the models are not very clear. We propose a two-layer stacked... read more 

Smart Garment for Continuous Respiration Monitoring in Canines.

ACS sensors
There is a growing need for at-home respiration monitoring in canines, who are prone to respiratory issues due to breed-specific anatomy and active lifestyles. Continuous monitoring of respiration provides critical insight into stress and illness; ho... read more 

Contactless and Wireless Wound Monitoring Using Nitrogen-Doped Graphene Antenna Sensor.

ACS sensors
Quantitative remote wound monitoring has the potential to shorten patient recovery time and alleviate the workload of healthcare professionals. In this study, a nitrogen-doped horizontally grown graphene (NHG) antenna sensor with a working frequency ... read more 

Deep learning in biology faces a transferability crisis.

PLoS biology
Creating generalizable models is a conserved aim in deep learning-however, misleading claims of transferability threaten to obfuscate reliable performance evaluation. We outline the severity of this issue in the biosciences, and suggest potential sol... read more 

Computational frameworks for automated detection and quantification of paroxysmal sympathetic hyperactivity among traumatic brain injury patients.

PloS one
Paroxysmal sympathetic hyperactivity (PSH) is a syndrome that occurs in a large subset of critically ill traumatic brain injury (TBI) patients and is associated with complications and poor recovery. PSH is defined by recurrent episodic vital sign ele... read more 

Predicting short-term mortality in severe cirrhosis: An interpretable machine learning model integrating routine clinical indicators.

PloS one
BACKGROUND: The critical need for precise risk stratification in severe liver cirrhosis is underscored by its substantial 30-day mortality rates, demanding reliable tools to guide clinical interventions. OBJECTIVE: To establish a machine learning-dri... read more