Artificial Intelligence Medical Compendium

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

Showing 35,031 to 35,040 of 221,633 articles

Predicting neoadjuvant therapy response in breast cancer from preoperative biopsy via spatial-semantic-differential learning and interpretable clinicopathological-guided fusion.

Medical image analysis
Predicting pathological complete response (pCR) to neoadjuvant therapy (NAT) in breast cancer remains challenging due to high tumor heterogeneity and disparities across data modalities. This study introduces a multimodal learning framework that integ... read more 

Integrative Machine Learning and Network Pharmacology Approach to Uncover Phytochemical Therapeutics for Melanoma and Breast Cancer.

Current computer-aided drug design
INTRODUCTION: Melanoma and Breast cancer are the leading cancers that cause thousands of deaths annually worldwide. Although several early identification methods and treatments are being used, they have limitations, such as drug resistance and off-ta... read more 

Focused Ultrasound-activated Extracellular Vesicles-nanoparticle Hybrids for Targeted Brain Drug Delivery: Engineering Strategies and Translational Outlook.

CNS & neurological disorders drug targets
A revolutionary method for targeted neurotherapeutics is focused ultrasound (FUS)-mediated blood-brain barrier (BBB) regulation. In order to enable controlled and targeted intracerebral drug delivery, recent developments in hybrid extracellular vesss... read more 

Computer-assisted adenoma detection colonoscopy with an ENDO-AID artificial intelligence system and Endocuff- versus Endocuff-assisted colonoscopy: a randomized controlled trial.

Gastroenterologia y hepatologia
BACKGROUND: Compared with conventional colonoscopy, computer-assisted adenoma detection (CADe) colonoscopy and Endocuff-Vision (EV) have been shown to increase the adenoma detection rate (ADR). However, the evidence for whether their combination furt... read more 

Artificial Intelligence Tools for GI Research: A Practical Guide.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association
BACKGROUND AND AIMS: Artificial intelligence (AI) tools, including large language models (LLMs) such as ChatGPT, Claude, and Gemini, are increasingly used in biomedical research. However, practical guidance for integrating these tools into the manusc... read more 

Clinical and immunological significance of FOXO1 as a biomarker of improved response to immune checkpoint plus tyrosine kinase inhibitor therapy in metastatic renal cell carcinoma.

European journal of pharmacology
BACKGROUND: Predicting response to immune checkpoint inhibitor plus tyrosine kinase inhibitor (IO+TKI) therapy in metastatic renal cell carcinoma (mRCC) remains challenging. Forkhead box protein O1 (FOXO1) is a key transcription factor regulating tum... read more 

Knowledge-infused hierarchical causal inference framework for decoding sludge settleability to quantitatively regulate multi-process wastewater treatment.

Bioresource technology
Sludge settleability characterized by the sludge volume index (SVI) is essential in assessing the operational stability of wastewater treatment systems. However, previous studies primarily focus on correlations between features and SVI in single wast... read more 

Central Obesity Measured by Weight-Adjusted Waist Index Is Associated With Lean MASLD.

Clinics and research in hepatology and gastroenterology
BACKGROUND: In individuals with normal body weight, altered fat distribution contributes to metabolic dysfunction and hepatic steatosis. We hypothesized that the weight-adjusted waist index (WWI), an indicator of abdominal fat accumulation, is associ... read more 

Evaluating the Impact of Artificial Intelligence Scribes on Clinical Workflow and Documentation Quality: A Randomized Controlled Trial.

The Journal of arthroplasty
BACKGROUND: The adoption of artificial intelligence (AI) scribes has grown rapidly in recent years, aiming to improve clinical workflow, increase efficiency, and reduce administrative burden by transcribing doctor-patient interactions. These systems ... read more