Artificial Intelligence Medical Compendium

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

Showing 18,501 to 18,510 of 214,544 articles

Use of artificial intelligence in analysis of endoscopic images to detect residual disease or regrowth in rectal patients with complete clinical response to neoadjuvant chemoradiotherapy.

Techniques in coloproctology
BACKGROUND: Patients with rectal cancer who have a complete clinical response (cCR) to neoadjuvant chemo/radiotherapy (nCRT) may opt for organ preservation and watch and wait (W&W). This consists of an intense surveillance program including serial en... read more 

Integrating biomarkers and artificial intelligence for precision diagnostics in cattle health and herd management: a review.

Veterinary research communications
Early and accurate diagnosis of major production diseases in cattle, many of which may be subclinical, such as mastitis, ketosis, and bovine respiratory disease (BRD), is essential for herd efficiency, animal welfare, and long-term sustainability. Co... read more 

Artificial intelligence and advanced monitoring for air and water pollution control in the USA: opportunities, challenges, and policy directions.

Environmental science and pollution research international
In this review article, we present the current state of artificial intelligence and advanced technologies in air and water pollution monitoring in the USA. Recent studies in this field show promising outcomes, including the ability to generate more g... read more 

Molspectra: a general framework for multi-spectra prediction from molecular structures.

Journal of molecular modeling
CONTEXT: The elucidation of molecular structures and properties typically relies on the integration of multiple spectroscopic techniques, which provide rich structural information from complementary perspectives. Although the synergistic analysis of ... read more 

Laparoscopic Roux-en-Y Gastric Bypass with the Maestro™ System: a Novel Collaborative Robotic Platform.

Obesity surgery
BACKGROUND: Laparoscopic Roux-en-Y gastric bypass (LRYGB) is a cornerstone of bariatric surgery, yet its complexity poses challenges in visualization and retraction, often compounded by variability in surgical assistance. The Maestro™ is an Artificia... read more 

Immunological Drug-Drug Interactions in Immune Checkpoint Inhibitor Therapy: Mechanisms, Clinical Evidence, and Artificial Intelligence.

Current oncology reports
PURPOSE OF REVIEW: Immune checkpoint inhibitors (ICIs) have transformed cancer therapy, producing durable responses across multiple malignancies. However, treatment outcomes may be influenced by immunological drug-drug interactions (DDIs) arising fro... read more 

superLPNet: a super lightweight parameter deep learning model for brain age estimation from structural MRI.

Magma (New York, N.Y.)
OBJECTIVES: This study aimed to develop a super lightweight deep learning model for brain age estimation using structural MRI, enabling accurate age estimation with minimal computational cost for deployment in resource-constrained clinical settings. ... read more 

A Bioinspired Three-Dimensional High-Curvature Nano-Interface Integrated Microfluidic Chip for Small Extracellular Vesicles Enrichment and Machine Learning-Assisted Prostate Cancer Precision Diagnosis.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
The efficient and unbiased isolation of small extracellular vesicles (sEVs) from complex biological fluids remains a major obstacle for clinical diagnostics. Here, we report a bioinspired microfluidic chip that integrates a three-dimensional high-cur... read more 

Identifying significant environmental predictors of change in delay discounting among adolescents in the Adolescent Brain Cognitive Development Study.

Experimental and clinical psychopharmacology
Delay discounting (a preference for smaller immediate rewards vs. larger delayed rewards; DD) is a transdiagnostic risk factor for health outcomes including substance use disorders, obesity, and others. Studies have identified numerous individual-lev... read more