Artificial Intelligence Medical Compendium

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

Showing 43,981 to 43,990 of 224,055 articles

Deep Learning Reconstruction on Quantitative Analysis in Brain Tumors With Diffusion-Weighted Imaging and Dynamic Susceptibility Contrast Imaging.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Although deep learning reconstruction (DLR) has been shown to improve image quality in MRI, its impact on quantitative physiologic parameters derived from diffusion-weighted imaging (DWI) and dynamic susceptibility contrast (DSC) perfusio... read more 

Machine learning applications for anterior cruciate ligament injury prediction and rehabilitation in sports: A scoping review with evidence synthesis.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
PURPOSE: To map and synthesise current evidence on machine learning (ML) applications for anterior cruciate ligament (ACL) injury risk estimation, rehabilitation monitoring and return-to-sport (RTS) decision support, with emphasis on clinical relevan... read more 

Beyond Novelty: What Makes Innovative Concepts in Endodontics Clinically Responsible?

International endodontic journal
The rapid emergence of novel concepts in endodontics-ranging from minimally invasive approaches to digital workflows and artificial intelligence-assisted decision-making-has significantly reshaped contemporary discourse within the specialty. While in... read more 

Ethical Considerations for Learning to Use Artificial Intelligence in Qualitative Health Research.

Qualitative health research
Artificial intelligence (AI) technologies are rapidly expanding in qualitative health research and often promise improved efficiency or novel discoveries. However, this promise has yet to be realized, and further, serious ethical issues emerge rangin... read more 

Ethical Considerations for AI-Enabled Voice Analysis: Features of an Emerging Bioethics Literature.

AJOB empirical bioethics
BACKGROUND: With the emergence of voice as a digital biomarker for various health conditions over the last decade, healthcare institutions are exploring avenues to leverage this technology to improve patient outcomes and clinical workflow efficiencie... read more 

Application of untargeted plasma metabolomics and machine learning to construct a diagnostic model for hypertrophic cardiomyopathy: a case-control study.

Metabolomics : Official journal of the Metabolomic Society
BACKGROUND: Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiovascular disease. Recent metabolomics studies have revealed pathogenic mechanisms and provided new perspectives for diagnosis. AIM: This study aimed to analyze plasma me... read more 

Harnessing bacterial power and omics technologies for sustainable plastic waste biodegradation.

Biodegradation
Plastic pollution constitutes a critical environmental concern of this era, with synthetic polymers, i.e., polyethylene (PE), polyethylene terephthalate (PET), polystyrene (PS), and polyurethane (PU), accumulating in terrestrial and aquatic ecosystem... read more 

Thermostability engineering of microbial transglutaminase using artificial intelligence and investigation of its underlying mechanisms.

Bioresources and bioprocessing
The application of artificial intelligence in enzyme molecular evolution has emerged as a research hotspot. However, applying machine learning to enzyme molecular modification still presents many challenges. In particular, accelerating the integratio... read more