Artificial Intelligence Medical Compendium

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

Showing 33,981 to 33,990 of 221,510 articles

An Integrated NLP-ML Framework for Property Prediction and Design of Steels.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
This paper introduces a data-driven framework designed to accelerate the property prediction, and hence the discovery and development of steels. The study leverages natural language processing and machine learning techniques to analyse a dataset cont... read more 

SDS-CRISPR for Single-Nucleotide Variant Detection.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
The CRISPR-Cas12a system offers a promising platform for simple and sensitive nucleic acid diagnostics, including tumor-associated variant detection and infectious agent identification. However, its intrinsic mismatch tolerance limits its ability to ... read more 

Artificial Intelligence Powers Protein Functional Annotation.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Protein functional annotation is essential for understanding biological processes, disease mechanisms, and enzyme activities, yet experimental validation remains costly and low-throughput. With the rapid development of Artificial Intelligence (AI), a... read more 

Magnetically controlled capsule endoscopy: Innovations, standardized practice, and emerging clinical roles.

Clinical and translational gastroenterology
Capsule endoscopy has transformed small bowel evaluation but remains limited for gastric examination because of passive, peristalsis dependent movement. Magnetically controlled capsule endoscopy (MCE) addresses this limitation by enabling real time e... read more 

Effects of a ChatGPT-generated eccentric training programme on speed, change of direction, agility, and jumping performance in U14 tennis players: A non-randomised controlled study.

Journal of sports sciences
This non-randomised controlled-trial aimed to examine the effects of a ChatGPT-generated eccentric training (ET) programme, which was subsequently validated by human experts before implementation, on physical fitness in U14 tennis players. Twenty-fou... read more 

Advances in intelligent multi-mode lateral flow assays: from multi-metallic nanomaterials to smart analytical integration.

Chemical Society reviews
Lateral flow assays (LFAs) have evolved from simple qualitative tools into intelligent, multi-modal analytical platforms that integrate rationally engineered multi-metallic nanoparticles (MMNPs) with artificial intelligence (AI)-assisted data analysi... read more 

The road to innovation: Collaborative enhancement of clinical prediction-A 9th World Congress of Pediatric Cardiology and Cardiac Surgery closing plenary lecture.

Cardiology in the young
Innovation in paediatric and adult congenital cardiology increasingly depends on collaboration among academia, industry, and professional communities. From this perspective, the author argues that clinical prediction represents a natural convergence ... read more 

Development of Bioaccessibility-Based Soil Environmental Criteria for PFAS through the Establishment of In Vitro Methods and Machine Learning Models.

Environmental science & technology
Per- and polyfluoroalkyl substances (PFAS) are ubiquitously distributed in the environment, with soil increasingly serving as one of the major matrices. Soil environmental criteria (SEC) are primarily based on total concentrations of pollutants. Howe... read more 

Twin Threats in the Deepest Ocean: Novel PFAS Drive Exposure While Legacy PFAS Drive Risk.

Environmental science & technology
Although per- and polyfluoroalkyl substances (PFAS) are widespread in global ecosystems, their presence in the hadal zone, particularly that of novel compounds, remains unexplored. In this study, 15 PFAS were detected in amphipods from the Mariana, M... read more 

An Expedited Chart Review Process for Large Database Studies Using Natural Language Processing and Multiwave Adaptive Sampling.

Epidemiology (Cambridge, Mass.)
BACKGROUND: One of the ways to enhance analyses conducted with large claims databases is by validating the measurement characteristics of the code-based algorithms used to identify health outcomes or other key study parameters of interest. These metr... read more