Artificial Intelligence Medical Compendium

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

Showing 54,771 to 54,780 of 226,183 articles

Screening, risk assessment, and rapid detection of mycotoxins in edible herbs based on UPLC-MS/MS and FT-NIR.

Food research international (Ottawa, Ont.)
Mycotoxin contamination in edible herbs poses substantial health risks and economic losses due to its accumulation. This study employed a modified QuEChERS-based UPLC-MS/MS method for qualitative screening of 19 mycotoxins in 1000 batches of 77 kinds... read more 

The critical role of standards for AI in digital pathology: Digital Pathology Association Concept Paper.

Journal of pathology informatics
BACKGROUND: The field of pathology has not yet fully realized the potential of artificial intelligence (AI) and digital pathology. Adoption must be driven by demonstrable utility, and successful implementation depends on interoperability and sustaina... read more 

Total product lifecycle regulatory considerations and recommendations for generative AI-enabled medical devices.

European heart journal. Digital health
As generative artificial intelligence (GenAI) emerges within the healthcare ecosystem, the regulatory environment surrounding these technologies remains fragmented. Importantly, GenAI in healthcare requires adapting the established Total Product Life... read more 

A Character-level Convolutional Recurrent Interaction Network for joint traditional Chinese medicine clinical named entity recognition and relation extraction.

Artificial intelligence in medicine
The electronic medical record (EMR) of traditional Chinese medicine (TCM) is a crucial document for recording patients' clinical data, structured around four main dimensions: inspection, listening and smelling, inquiry, and palpation. Analyzing these... read more 

Validation and longitudinal trajectory analysis of an AI-based ECG model for aortic stenosis: from community screening to pre-TAVR risk stratification.

European heart journal. Digital health
AIMS: Early aortic stenosis (AS) detection remains challenging, with many patients presenting late when left ventricular dysfunction may be irreversible. We evaluated whether longitudinal AI-enhanced ECG patterns can predict outcomes years before int... read more 

SAM-driven cross prompting with adaptive sampling consistency for semi-supervised medical image segmentation.

Medical image analysis
Semi-supervised learning (SSL) has achieved notable progress in medical image segmentation. To achieve effective SSL, a model needs to be able to efficiently learn from limited labeled data and effectively exploit knowledge from abundant unlabeled da... read more 

DNA-Driven EEG monitoring for rapid seizure prediction in healthcare.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Worldwide, over 50 million people suffer from epilepsy, a neurological disorder characterised by recurrent seizures due to abnormal electrical activity in the brain. These occur as a result of sudden electric surges and the ... read more 

Screening toxic transformation products of emerging pollutants in advanced oxidation processes with 3D deep learning and in vitro assays.

Water research
The rapid and precise toxicity assessment of chemical pollutants and their byproducts formed during water treatment and in aquatic environments remains a significant environmental challenge, as the predictive power of conventional quantitative struct... read more 

Conductive nanofiltration: From materials to applications.

Water research
Conductive nanofiltration membranes are emerging as a transformative class of separation materials capable of coupling molecular selectivity with dynamic electrochemical control. Unlike conventional NF systems that operate as passive diffusion barrie... read more