Artificial Intelligence Medical Compendium

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

Showing 61,811 to 61,820 of 230,319 articles

Ultrahigh-Linearity Triboelectric Nanogenerator for Dual Pressure-Frequency Sensing and Multi-Modal Recognition.

ACS applied materials & interfaces
Triboelectric nanogenerators (TENGs) hold great promise as self-powered sensors, but their practical applications are limited by charge leakage at high filler concentrations, coupled pressure-frequency responses, and poor discrimination of materials ... read more 

Immune Predictors of Radiotherapy Outcomes in Cervical Cancer.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
The immune microenvironment influences the sensitivity of patients to radiotherapy (RT), yet determinants of therapeutic resistance remain elusive. This study integrates single-cell transcriptomics and machine learning to delineate immune predictors ... read more 

Artificial Intelligence Helps Diagnose Oral Potentially Malignant Disorders: A Systematic Review and Meta-Analysis.

JDR clinical and translational research
INTRODUCTION: Oral potentially malignant disorders (OPMDs) can lead to oral cancer, which is one of the most common cancers worldwide. Prevention is crucial in the avoidance of malignant transformations of OPMDs. Artificial intelligence (AI) provides... read more 

Cooking and eating quality of ethnic Bora rice (Oryza sativa L.): machine learning-based prediction of resistant starch content in ready-to-eat products.

Journal of the science of food and agriculture
BACKGROUND: Assamese glutinous Bora rice (Oryza sativa L.) is widely used for various ethnic food preparations. However, its resistant starch (RS) content, which influences the glycemic index (GI), remains poorly characterized. This exploratory study... read more 

Machine learning-assisted detection of canine mammary tumors using serum autoantibody signatures.

The veterinary quarterly
Canine mammary tumors (CMTs) are the most common neoplasms in intact female dogs, yet early detection remains challenging due to the lack of clinically validated, noninvasive biomarkers. This study aimed to develop a noninvasive diagnostic model for ... read more 

Targeted SERS Nanoparticle Accumulation on Bacteria Enables On-Site Accurate Vibrio Typing in 10 min with AI-Powered SERS.

Nano letters
Vibrio infections progress rapidly with high mortality, yet current diagnostics fail to meet the critical need for rapid, accurate, and field-deployable detection. To bridge this gap, we present a bioreceptor-free, AI-powered surface-enhanced Raman s... read more 

Machine Learning Model Predicts Recurrent Clostridioides difficile Infection in Patients With Inflammatory Bowel Disease (Recur CDI-IBD).

The American journal of gastroenterology
INTRODUCTION: Clostridioides difficile infection (CDI) present a significant challenge in patients with inflammatory bowel disease (IBD), with high recurrence rates and complications. Predicting recurrent CDI (rCDI) in IBD patients is crucial for imp... read more 

High-Data-Density, High-Decoding-Speed, and High-Decoding-Accuracy DNA Data Ink for Digital Preservation.

ACS nano
DNA-based storage offers exceptional information density, durability, and energy efficiency compared to conventional digital media, yet practical implementation faces challenges including high synthesis costs, sequencing errors, and slow access speed... read more 

Recent Advances of Optical Sensing Arrays (2019-2025): From Design of Optical Elements to Multidimensional Analysis for Applications.

Analytical chemistry
Optical sensor arrays have emerged as a powerful paradigm for high-throughput, multiplexed analysis, overcoming the limitations of traditional single-analyte sensing by leveraging cross-reactive elements to generate distinct multidimensional response... read more