Artificial Intelligence Medical Compendium

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

Showing 21 to 30 of 212,294 articles

RT2C: Predicting Time-to-New Caries with Structured Dental Data Using RNN.

Journal of dental research
Dental caries is a highly prevalent chronic condition requiring accurate tools to identify at-risk patients and guide preventive care. Most existing caries risk models provide only binary predictions and overlook time-to-event information. Considerin... read more 

Integrating chemical priors and physical laws to mitigate hallucinations in structure-based drug design.

Communications chemistry
Generative artificial intelligence has shown great promise in structure-based drug design (SBDD), yet existing models often suffer from a fundamental crisis of "structural hallucinations", generating molecules with high binding scores that violate ba... read more 

Analytical construction of lump, rogue, and multi-wave structures in a nonlinear neuron membrane model via bilinear neural network approach.

Theory in biosciences = Theorie in den Biowissenschaften
In this article, we study a nonlinear neuron membrane model describing the propagation of action potentials along nerve fibers, incorporating nonlinear elastic effects and higher-order dispersion. By applying the Hirota bilinear transformation, the g... read more 

Diagnostic performance of an artificial intelligence algorithm for detecting pneumoperitoneum on abdominal CT scans.

Insights into imaging
OBJECTIVES: This study aims to evaluate the diagnostic performance of an artificial intelligence (AI) algorithm for detection, segmentation, and volumetric quantification of pneumoperitoneum on abdominal CT scans. MATERIALS AND METHODS: We developed ... read more 

Edgeefficient human activity recognition using a quantized patchbased transformer.

Scientific reports
Human Activity Recognition (HAR) systems using deep learning have shown significant promise; however, deploying such models on edge computing systems remains challenging due to constraints in inference latency, memory footprints and computational cap... read more 

Enhancing virtual screening of cystathionine β-synthase inhibitors: benchmarking target-specific machine-learning scoring functions against state-of-the-art AI docking and co-folding approaches.

Journal of cheminformatics
Cystathionine β-synthase (CBS) has emerged as an important therapeutic target implicated in cancer and Down syndrome, yet the discovery of selective CBS inhibitors remains challenging due to limited structural diversity of known ligands and the scarc... read more 

Tumor cells escape from therapy-induced senescence: from molecular mechanisms to targeted intervention.

Biology direct
Tumor recurrence represents a significant challenge in the field of tumor therapy, severely affecting patients' survival rates and quality of life. Even after standard treatments, many patients still experience tumor recurrence. Traditional radiother... read more 

Supervised artificial intelligence classification of clinker processing conditions by optical microscopy.

Journal of microscopy
Optical microscopy is known to be a powerful technique for the characterization of industrial clinkers, allowing for obtaining valuable information on many aspects of the production process. The time required for the preparation of samples and collec... read more 

Research on quality homogenization of preparations from multi-part botanical materials based on pseudotargeted metabolomics and machine learning: a case study of Cocculus orbiculatus (L.) DC.

Analytical methods : advancing methods and applications
The use of multiple medicinal parts from a single herbal source for disease treatment is a common practice in traditional Chinese medicine. However, variations in the ratio of these parts can lead to inconsistencies in product quality. Therefore, ens... read more 

Truth, tone, and trust: integrating an AI exercise to foster responsible science communication in a graduate biomedical science course.

Journal of microbiology & biology education
As generative AI becomes a standard fixture in graduate education, the pedagogical challenge has shifted from detection to integration. This article describes a curriculum intervention developed for Anatomy of Scientific Error, a graduate-level cours... read more