Artificial Intelligence Medical Compendium

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

Showing 29,141 to 29,150 of 219,647 articles

Automatic generation of labanotation based on a hybrid transformer-LSTM network with multi-scale spatio-temporal features.

Scientific reports
To support the digital preservation and dissemination of folk dance as an intangible cultural heritage, the automatic generation of Labanotation from motion capture data has become a prominent research direction. However, existing techniques show lim... read more 

Lumbar Spine Disorder Detection using Segmentation and IBN-MGNet Classification with Enhanced Feature Extraction.

The International journal of neuroscience
Back pain affects millions worldwide, with lumbar spine disorders (LSDs) being a major contributing factor due to the spine's critical role in supporting body weight. This study aims to improve the detection of LSDs using advanced deep learning techn... read more 

Optimizing Pichia Pastoris Cell-Free Protein Synthesis to Improve Economics.

Biotechnology and bioengineering
Cell-free protein synthesis (CFPS) is a powerful and versatile platform that supports a wide range of applications, from fundamental studies of the genetic code to scalable and rapid protein production. The recently developed Pichia pastoris CFPS com... read more 

The experience of nursing students using generative artificial intelligence: a qualitative meta-synthesis.

BMC nursing
OBJECTIVE: This study systematically integrated qualitative research regarding nursing students' experiences using Generative Artificial Intelligence (GAI). It aimed to provide an evidence-based basis to facilitate the safe, appropriate, and effectiv... read more 

Uncoupling toxicity from efficacy in donor selection for allogeneic hematopoietic cell transplantation: a retrospective cohort study using double machine learning.

Journal of hematology & oncology
Haploidentical hematopoietic cell transplantation (HCT) offers potent graft-versus-tumor effects but is historically limited by higher non-relapse mortality (NRM) compared to matched unrelated (MUD) or related donors (MRD). To algorithmically decoupl... read more 

ChemScreener: an active learning enabled hit discovery workflow with WDR5 inhibitor case study.

Journal of cheminformatics
Active deep learning offers a promising approach for hit discovery starting from limited data by iteratively updating and improving models during screening by applying new data and adapting decisions. Key open questions include how best to explore ch... read more