Artificial Intelligence Medical Compendium

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

Showing 9,771 to 9,780 of 208,614 articles

An efficient methodology for modeling imbalanced traffic crashes through deep learning techniques.

Accident; analysis and prevention
Accurately predicting crash injury severity is crucial for enhancing traffic safety. However, crash datasets are often highly imbalanced because severe injuries are infrequent, which can bias predictive models. Addressing these challenges, the presen... read more 

From design-build-test-learn cycles to AI-driven digital twins for bioprocess scale-up in the Genesis Mission era.

Current opinion in biotechnology
The Genesis Mission is a U.S. initiative to accelerate bioproduction by integrating synthetic biology with the artificial intelligence (AI) ecosystem. However, it also raises caution regarding AI-driven biotechnology. Biomanufacturing requires the co... read more 

Addendum to "Predicting treatment pathways in Class II malocclusion patients using machine learning: A comparative study of four algorithms for classifying camouflage, growth modulation, and surgical decisions" [Int Orthod. 24 (2026) 101070].

International orthodontics
OBJECTIVES: The aim of this study was to develop a machine learning model to assist in treatment decision-making for surgery, camouflage, and growth modulation in Class II malocclusion patients and to evaluate its validity and reliability. MATERIAL A... read more 

CNNs vs. transformers: A benchmark for multi-class marine debris identification.

The Science of the total environment
Marine debris presents serious threats to aquatic ecosystems, biodiversity, and human livelihoods, with most carrying plastic wastes. This study addresses the urgent need for effective marine debris classification through advanced deep learning model... read more 

Elucidating the pathogenic mechanism underlying plasticizer-induced chronic kidney disease via integrated network toxicology and machine learning.

Ecotoxicology and environmental safety
Plasticizers are ubiquitous plastic additives that have been linked to multiple adverse health outcomes and elevated risks of chronic kidney disease (CKD). However, the precise molecular mechanisms underlying plasticizer-induced CKD remain poorly und... read more 

Artificial intelligence policy among nursing journals.

Nursing outlook
BACKGROUND: The rapid integration of generative artificial intelligence (AI) into scholarly work is reshaping nursing publication standards. PURPOSE: This study aimed to examine nursing journal policies governing the use of AI. METHODS: A cross-secti... read more 

Staffing, workflow, and operational models in virtual nursing and remote safety observation: A scoping review.

Nursing outlook
BACKGROUND: Virtual nursing and remote safety observation have emerged as critical nurse-led workforce innovations, yet standardized evidence on staffing and operational models remains limited and inconsistently reported. PURPOSE: To identify the pri... read more 

Machine learning for survival prediction after brain tumor stereotactic radiosurgery: A systematic review and meta-analysis.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
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Navigating the regulatory landscape of herbal medicines: A global comparison of India, China, Europe, the United States and Japan.

Journal of Ayurveda and integrative medicine
The use of herbal medicines is expanding rapidly worldwide, but regional regulatory systems vary greatly, leading to variations in quality, safety and efficacy. Varying legal frameworks, insufficient quality control and gaps in post-market surveillan... read more 

A Voyage on Computer Aided Intelligent Algorithms for the Segmentation of Brain Tissues for Neurodisorder Diagnosis.

The International journal of neuroscience
Neurodisorders pose a considerable burden to global health, frequently requiring early treatment and diagnosis to avoid irreversible cognitive and motor impairments. Segmentation of brain tissue is an essential task in neurodiagnostics due to its ina... read more