Artificial Intelligence Medical Compendium

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

Showing 67,421 to 67,430 of 232,702 articles

Artificial Intelligence-Driven Decision-Making for Knee Joint Manipulation Following Primary Total Knee Arthroplasty.

The Journal of arthroplasty
BACKGROUND: Manipulation under anesthesia (MUA) is a commonly performed procedure to address postoperative stiffness after total knee arthroplasty (TKA), yet optimal timing, motion thresholds, and outcome expectations remain poorly defined due to lim... read more 

Comparative Performance of Machine Learning and Traditional Risk Scores in Predicting Adverse Events After Transcatheter Aortic Valve Replacement in Patients With Atrial Fibrillation.

The American journal of cardiology
Patients with atrial fibrillation (AF) following transcatheter aortic valve replacement (TAVR) remain at risk of ischemic stroke (IS) and bleeding. However, traditional risk scores provide modest predictions of IS and bleeding in these patients. We a... read more 

Evaluating the role of low-cost sensors in machine learning based European PM2.5 monitoring.

Environmental research
We evaluate the added value of integrating validated Low-Cost Sensor (LCS) data into a Machine Learning (ML) framework for providing surface PM2.5 estimates over Central Europe at 1 km spatial resolution. The synergistic ML-based S-MESH (Satellite an... read more 

Leveraging low-cost app-based step count data to assess depression and anxiety in university students: A cross-sectional mobile health study.

Journal of affective disorders
BACKGROUND: The prevalence of depression and anxiety among college students worldwide is on the rise, significantly impacting their health and quality of life. Traditional mental health screening scales have some limitations, including subjectivity a... read more 

Venture Capital Investments in Radiology From 2000 to 2023.

Journal of the American College of Radiology : JACR
OBJECTIVE: Venture capital (VC) is playing a growing role in driving innovation in health care. Although previous studies have examined VC trends in various medical fields, limited research has focused on investment patterns in radiology. This study ... read more 

Next-generation multicenter studies: using artificial intelligence to automatically process unstructured health records of patients with lung cancer across multiple institutions.

Annals of oncology : official journal of the European Society for Medical Oncology
BACKGROUND: Manual abstraction of real-world data (RWD) from unstructured health records (HRs) remains resource intensive, error prone, and highly variable across institutions. Large language models (LLMs) offer a scalable alternative, but their perf... read more 

Associations between out of home food sector outlet menu healthiness scores, menu characteristics and energy consumed by customers in England during 2021-2022.

Appetite
Greater consumption of food prepared out of the home (OOH) is associated with higher energy intake. Strategies are needed to make eating OOH food less harmful to health. Identifying menu characteristics associated with higher energy consumption could... read more 

Modulating tumor mechanics and vascular barriers to enhance chemotherapy efficacy in pancreatic tumors and melanoma.

Journal of controlled release : official journal of the Controlled Release Society
Pancreatic ductal adenocarcinoma (PDAC) is characterized by a dense stroma and dysfunctional vasculature, limiting drug delivery and immune infiltration, while melanoma, though less fibrotic, remains highly metastatic and treatment-resistant. To over... read more 

A subject-based association network defines new pediatric sleep apnea phenotypes with different odds of recovery after treatment.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: Timely treatment of pediatric obstructive sleep apnea (OSA) can prevent or reverse neurocognitive and cardiovascular morbidities. However, whether distinct phenotypes exist and account for divergent treatment effectiveness ... read more 

Machine learning-guided repurposing of FDA-approved quinolones as dual cholinesterase inhibitors: A multi-level docking, molecular dynamics, DFT, and SHAP-based analysis.

Journal of molecular graphics & modelling
Alzheimer's disease (AD) involves progressive cholinergic degeneration, with acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) playing key enzymatic roles in its pathology. In this study, we computationally repurposed four FDA-approved qui... read more