Artificial Intelligence Medical Compendium

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

Showing 30,881 to 30,890 of 220,177 articles

Multi-site validation of an AI-based biomarker test for determining ER, PR, and HER2 status from H&E-stained breast cancer slides.

ESMO real world data and digital oncology
BACKGROUND: The assessment of estrogen/progesterone receptors (ER/PR) and human epidermal growth factor receptor 2 (HER2) is essential for managing breast cancer (BC) patients, as these biomarkers guide targeted therapies. Traditional methods such as... read more 

Estimate renal cell carcinoma recurrence rates using electronic health records.

ESMO real world data and digital oncology
BACKGROUND: Lack of readily available recurrence data has limited the use of electronic health records (EHR) for risk assessment of cancer recurrence and optimal patient management. This study aims to derive high-quality EHR recurrence data and estim... read more 

Exploring three-dimensional reconstruction with Neural Radiance Field (NeRF) for coronary roadmap navigation and view-planning in X-ray coronary angiography: A feasibility study.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: Three-dimensional (3D) reconstruction from X-ray coronary angiograms could enhance diagnosis and guide treatment of coronary artery disease. This study investigates the feasibility of applying Neural Radiance Field (NeRF), ... read more 

Leveraging the lipoprotein trafficking pathway for the development of novel antimicrobials.

RSC chemical biology
Antimicrobial resistance continues to limit the number of effective antimicrobials to treat bacterial infections. The development of antimicrobials with unique mechanisms of action is crucial to overcoming this threat. By employing various methods of... read more 

Decision support systems (DSS) for predicting hypertensive events using real-world telemonitoring data.

International journal of medical informatics
OBJECTIVE: This study contributes to the limited literature on applying machine learning (ML) to telemonitoring data for timely decision support systems (DSS). We propose an end-to-end DSS framework to enable clinicians to intervene proactively by ge... read more 

Photo-responsive films in food packaging: mechanisms, preparation, applications, and machine learning optimization.

Food research international (Ottawa, Ont.)
With escalating demands for food quality and safety, traditional packaging technologies grapple with challenges in meeting the dual requirements of efficient preservation and real-time monitoring. Due to advantages such as controllable excitation, no... read more 

A knowledge-based deep learning model for accurate urban drainage system prediction under spatiotemporally variable rainfall.

Water research
Accurate and rapid prediction of water levels in urban drainage systems remains a key challenge due to sparse sensor coverage, complex hydraulic interactions, and uncertain rainfall inputs. Traditional hydrodynamic models often rely on detailed rainf... read more 

Transfer Learning and Machine Learning for Training Five-Year Survival Prognostic Models in Early Breast Cancer: Development and Validation Study.

Journal of medical Internet research
BACKGROUND: Prognostic information is essential for decision-making in breast cancer management. In recent years, trials and clinical practice have emphasized genomic prognostication tools, despite clinicopathological methods being more affordable an... read more 

Measuring Technology-Facilitated Sexual Violence and Abuse: Scoping Review of Existing Measures.

Journal of medical Internet research
BACKGROUND: Technology-facilitated sexual violence and abuse (TFSVA) encompasses sexual harms perpetrated through digital means. Rapid developments in this field pose challenges in precisely defining and measuring TFSVA. Consequently, existing measur... read more 

Unlocking clinical narratives: how natural language processing and artificial intelligence can address data deficits and mitigate health inequities in urgent and emergency care.

Emergency medicine journal : EMJ
The Urgent and Emergency Care system generates a wealth of clinical information, but our ability to harness this for public health planning and to address health inequalities is constrained by systemic data quality issues. Modern natural language pro... read more