Artificial Intelligence Medical Compendium

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

Showing 5,771 to 5,780 of 205,623 articles

Accurate prediction of mortality in children with sepsis: development and validation of an explainable model based on real-world data.

Italian journal of pediatrics
BACKGROUND: Sepsis remains the leading cause of in-hospital deaths among children, and there is currently a lack of precise early prediction models. This study aimed to develop an interpretable machine learning (IML) model to predict in-hospital mort... read more 

PepPharmaHub: a cloud-based platform integrating multimodel language architectures with curated data resources for therapeutic peptide discovery.

BMC biology
BACKGROUND: Therapeutic peptides represent a rapidly expanding class of drug candidates due to their diverse biological activities and high specificity. However, accurately predicting peptide functions directly from sequence information remains a maj... read more 

Clinical Applicability of Artificial Intelligence-Driven Implant Planning and Surgical Guide Design in the Maxillary Esthetic Zone: A Registry-Based Cohort Study.

Clinical oral implants research
OBJECTIVES: This study evaluated the accuracy, time efficiency, and workflow consistency of artificial intelligence (AI)-assisted versus human expert (HI) implant planning in the esthetic anterior maxilla. MATERIAL AND METHODS: Thirty-five single-too... read more 

Multi-omics biomarkers in endometrial receptivity: from mechanisms to clinical translation.

Journal of translational medicine
BACKGROUND: Endometrial receptivity (ER) serves as a critical determinant for successful embryo implantation, yet its molecular complexity and limited clinical assessment methods pose significant challenges. Despite advancements in assisted reproduct... read more 

EXPRESS: Transcriptome profiling and experimental validation identify FOS, RAC2, and TYROBP as potential biomarkers for Fu's subcutaneous needling in neuropathic pain treatment.

Molecular pain
BACKGROUND: This study aimed to explore potential biomarkers and mechanisms underlying in the treatment of neuropathic pain(NP) with Fu's subcutaneous needling(FSN), employing a transcriptomics approach. METHODS: In this study, RNA sequencing was per... read more 

Integrating van't Hoff Equation with Artificial Neural Network for the Prediction of H2S Solubility in Ionic Liquids.

The journal of physical chemistry. B
Accelerating the discovery of high-performance ionic liquids (ILs) for hydrogen sulfide (H2S) capture is hindered by the prohibitive cost of experimental screening and the limited generalization capability of purely data-driven machine learning model... read more 

Performance of Vision-Enabled Large Language Models in Image-Based Electrocardiogram Interpretation: Exploratory Evaluation.

Journal of medical Internet research
BACKGROUND: Vision-enabled large language models (VE-LLMs) have the potential to provide flexible and explainable medical image interpretation. However, their real-world performance on clinical data, such as 12-lead electrocardiograms (ECGs), has not... read more 

Visual cues and strategies for perceiving elasticity.

Proceedings. Biological sciences
A key to interacting with the physical world is the ability to visually infer object properties, like elasticity, allowing us to anticipate object behaviour. Such perceptual inferences continue to challenge artificial intelligence systems, highlighti... read more 

Integrating multisequence radiomics and clinical features to predict seizure recurrence after gross total resection of pediatric low-grade epilepsy-associated brain tumors.

Neuroradiology
OBJECTIVE: This study aimed to develop a predictive model integrating clinical features and multisequence MRI radiomics to forecast postoperative seizure outcomes in pediatric patients with low-grade epilepsy-associated tumors (LEATs) who underwent g... read more 

Multi-omics and artificial intelligence for precision drug discovery and potential clinical applications.

Signal transduction and targeted therapy
The integration of multiomics technologies with artificial intelligence (AI) has become a transformative force in modern precision medicine, particularly within drug discovery. Multiomics approaches, including genome-wide association studies, transcr... read more