Artificial Intelligence Medical Compendium

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

Showing 47,521 to 47,530 of 224,199 articles

Subcutaneous tissue structural feature identification using unsupervised machine learning.

Computers in biology and medicine
Accurate quantification of the structural features of subcutaneous (SC) tissue is essential for understanding its physiology and developing predictive computational models of skin biomechanics and biotransport. Image analysis for tissue characterizat... read more 

Integrative transcriptomic and machine learning analysis identifies CDH17 and HOXC13 as robust candidate prognostic biomarkers in uveal melanoma.

Computers in biology and medicine
BACKGROUND: Uveal melanoma (UM), the most common form of ocular melanoma, represents poor prognosis, with approximately 50% of patients developing metastatic disease that significantly reduces survival rates. There is an crtitical need for accurate p... read more 

Stimulus reliability but not boundary distance manipulations violate the folded-X pattern of confidence.

Cognition
The folded-X pattern has been identified as a critical signature of confidence: as conditions become easier, confidence increases for correct trials but decreases for error trials. However, recent work has identified violations of the folded-X patter... read more 

Nomogram based on the pre-treatment systemic oxidative stress score to predict the prognosis of surgically treated patients with oral squamous cell carcinoma: competing risk model analysis.

International journal of oral and maxillofacial surgery
The aim of this study was to explore the prognostic predictive importance of the pre-treatment systemic oxidative stress score (SOS) in surgically treated patients with oral squamous cell carcinoma (OSCC). A prospective cohort study was conducted inv... read more 

LUMI-lab: A foundation model-driven autonomous platform enabling discovery of ionizable lipid designs for mRNA delivery.

Cell
Integrating AI with robotics offers a promising approach to molecular discovery and optimization, enabling efficient exploration of vast chemical spaces. However, its application in emerging fields is often constrained by sparse historical data. Here... read more 

metaRLK 2.0: An updated database of plant receptor-like kinases developed with structure- and deep learning-based functional annotation and classification.

Plant communications
Receptor-like kinases (RLKs) are the largest class of signal transduction proteins in plants and play crucial roles in adaptation to diverse ecological environments. The previously published metaRLK database contains 311 581 RLKs from 508 plant speci... read more 

Effectiveness of transcranial direct current stimulation (tDCS) on attention and memory biases in individuals with post-traumatic stress disorder (PTSD): a randomized, single-blind, parallel-group study.

Journal of psychiatric research
Based on neurocognitive models, the development and maintenance of post-traumatic stress disorder (PTSD) are correlated with cognitive biases, including attention and memory biases, which are associated with imbalanced activation of prefrontal region... read more 

Uncovering the Dynamics of Mucosa-Associated Microbiota in Postoperative Recurrence of Crohn's Disease.

Gastroenterology
BACKGROUND & AIMS: About 50% to 75% of patients with Crohn's disease (CD) need bowel resection. Postoperative recurrence of CD is frequent. Here, we investigate the evolution of the mucosa-associated microbiota along the Rutgeerts score measuring end... read more 

Advancements of ultrasound modalities and their clinical potential in ophthalmology.

Survey of ophthalmology
Ultrasound imaging has played an important role in ophthalmic diagnostics due to its real-time capability, safety, and cost-effectiveness. In recent years several novel ultrasound modalities have been applied to diagnosis of ocular diseases, includin... read more