AI Medical Compendium Topic:
Software

Clear Filters Showing 591 to 600 of 3426 articles

PeakDetective: A Semisupervised Deep Learning-Based Approach for Peak Curation in Untargeted Metabolomics.

Analytical chemistry
Peak-detection algorithms currently used to process untargeted metabolomics data were designed to maximize sensitivity at the sacrifice of selectively. Peak lists returned by conventional software tools therefore contain a high density of artifacts t...

Best Practices of Using AI-Based Models in Crystallography and Their Impact in Structural Biology.

Journal of chemical information and modeling
The recent breakthrough made in the field of three-dimensional (3D) structure prediction by artificial intelligence softwares, such as initially AlphaFold2 (AF2) and RosettaFold (RF) and more recently large Language Models (LLM), has revolutionized t...

SENet: A deep learning framework for discriminating super- and typical enhancers by sequence information.

Computational biology and chemistry
Super-enhancers are large domains on the genome where multiple short typical enhancers within a specific genomic distance are stitched together. Typically, they are cell type-specific and responsible for defining cell identity and regulating gene tra...

Assessing facial weakness in myasthenia gravis with facial recognition software and deep learning.

Annals of clinical and translational neurology
OBJECTIVE: Myasthenia gravis (MG) is an autoimmune disease leading to fatigable muscle weakness. Extra-ocular and bulbar muscles are most commonly affected. We aimed to investigate whether facial weakness can be quantified automatically and used for ...

Automated permanent tooth detection and numbering on panoramic radiograph using a deep learning approach.

Oral surgery, oral medicine, oral pathology and oral radiology
OBJECTIVE: This study aimed to assess the performance of the deep learning (DL) model for automated tooth numbering in panoramic radiographs.

AI vs FRCR: What it means for the future.

European journal of radiology
A recent work by Shelmerdine et al. was published in the Christmas edition of the BMJ. The authors were inspired by George Hinton's statement that artificial intelligence (AI) would supersede radiologists, and ventured to investigate whether the AI s...

Artificial Intelligence for Computer-Aided Drug Discovery.

Drug research
The continuous implementation of Artificial Intelligence (AI) in multiple scientific domains and the rapid advancement in computer software and hardware, along with other parameters, have rapidly fuelled this development. The technology can contribut...

DrugEx: Deep Learning Models and Tools for Exploration of Drug-Like Chemical Space.

Journal of chemical information and modeling
The discovery of novel molecules with desirable properties is a classic challenge in medicinal chemistry. With the recent advancements of machine learning, there has been a surge of drug design tools. However, few resources exist that are user-frien...

Exploring the use of driving simulation to improve robotic surgery simulator training: an observational case-control study.

Journal of robotic surgery
The correlation between driving skills and the ability to perform robotic surgery have not yet been discussed. Therefore, this study aimed to investigate the impact of driving skills on learning robotic surgery using a driving simulator and a robotic...