AIMC Topic: Software

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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...

ChatGPT in medical imaging higher education.

Radiography (London, England : 1995)
INTRODUCTION: Academic integrity among radiographers and nuclear medicine technologists/scientists in both higher education and scientific writing has been challenged by advances in artificial intelligence (AI). The recent release of ChatGPT, a chatb...

What is the current state of artificial intelligence applications in dentistry and orthodontics?

Journal of stomatology, oral and maxillofacial surgery
BACKGROUND: The use of Artificial Intelligence (AI) in the medical field has the potential to bring about significant improvements in patient care and outcomes. AI is being used in dentistry and more specifically in orthodontics through the developme...