AI Medical Compendium Topic:
Software

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ctPISP: Protein-Protein Interaction Sites Prediction Using Convolution and Transformer With Data Augmentation.

IEEE/ACM transactions on computational biology and bioinformatics
Protein-protein interactions are the basis of many cellular biological processes, such as cellular organization, signal transduction, and immune response. Identifying protein-protein interaction sites is essential for understanding the mechanisms of ...

SAGES video acquisition framework-analysis of available OR recording technologies by the SAGES AI task force.

Surgical endoscopy
BACKGROUND: Surgical video recording provides the opportunity to acquire intraoperative data that can subsequently be used for a variety of quality improvement, research, and educational applications. Various recording devices are available for stand...

Chemistry42: An AI-Driven Platform for Molecular Design and Optimization.

Journal of chemical information and modeling
Chemistry42 is a software platform for small molecule design and optimization that integrates Artificial Intelligence (AI) techniques with computational and medicinal chemistry methodologies. Chemistry42 efficiently generates novel molecular structu...

ChatGPT, An Artificial Intelligence Chatbot, Is Impacting Medical Literature.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association

Defining Virtual Consumerism Through Content and Sentiment Analyses.

Cyberpsychology, behavior and social networking
This study set out to better understand virtual consumerism (VC) by applying natural language processing (NLP) methods for sentiment and content analyses. A total of 318 articles related to VC were identified on Web site and analyzed by text mining ...

Molecular Toxicity Virtual Screening Applying a Quantized Computational SNN-Based Framework.

Molecules (Basel, Switzerland)
Spiking neural networks are biologically inspired machine learning algorithms attracting researchers' attention for their applicability to alternative energy-efficient hardware other than traditional computers. In the current work, spiking neural net...

Detecting genomic deletions from high-throughput sequence data with unsupervised learning.

BMC bioinformatics
BACKGROUND: Structural variation (SV), which ranges from 50 bp to [Formula: see text] 3 Mb in size, is an important type of genetic variations. Deletion is a type of SV in which a part of a chromosome or a sequence of DNA is lost during DNA replicati...

Evaluation of the accuracy of fully automatic cephalometric analysis software with artificial intelligence algorithm.

Orthodontics & craniofacial research
OBJECTIVE: The aim of this study is to evaluate whether fully automatic cephalometric analysis software with artificial intelligence algorithms is as accurate as non-automated cephalometric analysis software for clinical diagnosis and research.

dtiRIM: A generalisable deep learning method for diffusion tensor imaging.

NeuroImage
Diffusion weighted MRI is an indispensable tool for routine patient screening and diagnostics of pathology. Recently, several deep learning methods have been proposed to quantify diffusion parameters, but poor generalisation to new data prevents broa...

Smart de novo Macromolecular Structure Modeling from Cryo-EM Maps.

Journal of molecular biology
The study of macromolecular structures has expanded our understanding of the amazing cell machinery and such knowledge has changed how the pharmaceutical industry develops new vaccines in recent years. Traditionally, X-ray crystallography has been th...