Artificial Intelligence Medical Compendium

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

Showing 3,361 to 3,370 of 235,503 articles

Validation and analysis of 12,000 AI-driven CAR-T designs in the Bits to Binders competition.

Molecular systems biology
Artificial intelligence (AI) methods for proteins have advanced rapidly, improving structure prediction and design, particularly for de novo binders. However, most evaluations emphasize binding affinity rather than higher-order biological function. W... read more 

[Contrast agent strategies in elective oncological imaging].

Radiologie (Heidelberg, Germany)
Computed tomography (CT) and magnetic resonance imaging (MRI) are central to staging, treatment planning and response assessment in oncology. For many tumor entities, clinical guidelines specify the recommended imaging frequency and appropriate modal... read more 

Automated surgical phase recognition in pediatric laparoscopic fundoplication using deep learning: a retrospective video-based study.

Surgical endoscopy
BACKGROUND: Automated surgical phase recognition may support objective workflow analysis and surgical education but has not been sufficiently evaluated in pediatric minimally invasive surgery. This study aimed to develop and evaluate a deep learning-... read more 

A novel artificial intelligence anatomical model for landmark recognition in endolaparoscopic totally extraperitoneal inguinal hernia repair.

Surgical endoscopy
BACKGROUND: Totally extraperitoneal (TEP) inguinal hernia repair demands precise recognition of posterior groin anatomy, yet the learning curve remains steep. We developed and evaluated an artificial intelligence (AI) model to identify key landmarks ... read more 

Digital twin validation and predictive value of delta radiomics based on tabular transformer for synergistic muscle imbalance in lumbar disc degeneration.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
BACKGROUND: Current methods struggle to quantify muscle synergistic imbalance and nonlinear interactions in Lumbar Intervertebral Disc Degeneration (LIDD). This study proposes a novel strategy combining "Delta Radiomics" with a Tabular Transformer de... read more 

Non-medical drivers of health and pediatric no-show prediction: identifying modifiable risk factors.

Pediatric research
BACKGROUND: No-shows to medical appointments contribute to disruptions and inefficiencies in healthcare delivery. While artificial intelligence/machine learning (AI/ML) models are increasingly used to predict no-shows, few have incorporated non-medic... read more 

Leveraging word knowledge from everyday language.

Psychonomic bulletin & review
Within the first few years of life, children go from nonverbal infants to fluent users of hundreds of words. This feat unfolds as children are immersed in a sea of words in conversations, stories, and other language contexts. In principle, word conte... read more 

Sensitivity Analysis on a Computational Model of Olfaction Using Gaussian Process, Generalized Polynomial Chaos and Neural Networks.

Bulletin of mathematical biology
The process of odor capture by arrays of chemosensory hairs is a complex phenomenon influenced by multiple factors, such as hair morphology and surrounding fluid characteristics. Understanding how these parameters affect the fluid flow and odor trans... read more