Artificial Intelligence Medical Compendium

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

Showing 49,131 to 49,140 of 224,513 articles

Deep learning-based semantic matching of cis-regulatory DNA sequences facilitates the prediction of gene function.

Nature plants
The rich information encoded in cis-regulatory DNA sequences has not been fully exploited for gene function prediction in reverse genetics. Here we show that orthologous cis-regulatory sequences that diverged approximately 160 million years ago share... read more 

Nanoengineering of non-aqueous liquid electrolyte solutions for future lithium metal batteries.

Nature nanotechnology
Research and development of non-aqueous electrolyte solutions are essential for practical advancement towards the production of high-energy lithium metal batteries (LMBs). An ideal LMB electrolyte solution should enable highly efficient, uniform and ... read more 

A deep neural network model of audiovisual speech recognition reports the McGurk effect.

Psychonomic bulletin & review
In the McGurk effect, perception of an auditory syllable changes dramatically when it is paired with an incongruent visual syllable, countering our intuition that speech perception is solely an auditory process. The dominant modeling framework for th... read more 

Simplifying Radiology Reports for Patients Using ChatGPT: A Systematic Review.

Journal of medical imaging and radiation oncology
This systematic review investigated the benefits and risks of using ChatGPT to simplify radiology reports to enhance patient understanding. PubMed/MEDLINE, Embase, Web of Science, and CENTRAL databases were searched for studies published until Decemb... read more 

ChatGPT in undergraduate speech and language therapy education: students' perspectives and experiences.

BMC medical education
PURPOSE: This study aimed to investigate the perceptions, experiences, and ethical awareness of undergraduate Speech and Language Therapy (SLT) students in Türkiye regarding the use of ChatGPT in academic and clinical education. As generative artific... read more 

Prediction of hemorrhagic transformation after intravenous thrombolysis in acute anterior circulation ischemic stroke through radiomics-based machine learning models.

European journal of medical research
BACKGROUND: Hemorrhagic transformation (HT) and its associated neurological deterioration remain major concerns that limit decision-making in thrombolytic treatment for acute ischemic stroke (AIS). Several existing scales based on stroke severity, la... read more