Artificial Intelligence Medical Compendium

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

Showing 5,351 to 5,360 of 174,574 articles

Digital twins as self-models for intelligent structures.

Scientific reports Aug 19, 2025
A self-model is an artificial intelligence that is able to create a continuously updated internal representation of itself. In this paper we use an agent-based architecture to create a 'digital twin self-model', using the example of a small-scale thr... read more 

Machine learning based screening of biomarkers associated with cell death and immunosuppression of multiple life stages sepsis populations.

Scientific reports Aug 19, 2025
Sepsis is a condition resulting from the uncontrolled immune response to infection, leading to widespread inflammatory damage and potentially fatal organ dysfunction. Currently, there is a lack of specific prevention and treatment strategies for seps... read more 
Machine Learning Biomarkers Humans Adult Male Infant, Newborn Female Cell Death Child Child, Preschool Apoptosis Computational Biology Gene Expression Profiling Sepsis Infant

Comparing Large Language Models as Health Literacy Tools: Evaluating and Simplifying Texts on gender-Affirming Surgery.

Journal of health communication Aug 19, 2025
Patient-facing materials in gender-affirming surgery are often written at a level higher than the NIH-recommended eighth grade reading level for patient education materials. In efforts to make patient resources more accessible, ChatGPT has successful... read more 

Estimation of state of health for lithium-ion batteries using advanced data-driven techniques.

Scientific reports Aug 19, 2025
Accurate estimation of the State of Health (SOH) is crucial for ensuring the performance, safety, and longevity of lithium-ion batteries in electric vehicles. Traditional methods, such as Coulomb Counting and the Extended Kalman Filter, often lack th... read more 

Factors that influence technophobia in Chinese older patients with ischemic stroke: a cross-sectional survey.

BMC geriatrics Aug 19, 2025
BACKGROUND: Older patients with ischemic stroke often have a large number of medical needs, technophobia refers to the irrational anxiety and fear of digital technologies such as mobile communication equipment, artificial intelligence and robots, res... read more 
Female Aged Humans China Fear Cross-Sectional Studies Aged, 80 and over Middle Aged Phobic Disorders Male Surveys and Questionnaires Self Efficacy Social Support East Asian People Health Literacy Ischemic Stroke

NetStart 2.0: prediction of eukaryotic translation initiation sites using a protein language model.

BMC bioinformatics Aug 19, 2025
BACKGROUND: Accurate identification of translation initiation sites is essential for the proper translation of mRNA into functional proteins. In eukaryotes, the choice of the translation initiation site is influenced by multiple factors, including it... read more 
Eukaryota RNA, Messenger Codon, Initiator Peptide Chain Initiation, Translational Deep Learning Computational Biology Humans Software

A machine learning approach to predict self-efficacy in breast cancer survivors.

BMC medical informatics and decision making Aug 19, 2025
PURPOSE: To determine predictors of self-efficacy in breast cancer survivors and identify vulnerable groups. read more 
Self Efficacy Turkey Middle Aged Aged Cancer Survivors Breast Neoplasms Machine Learning Humans Adult Female

Finding your academic voice: faster, healthier writing with AI speech recognition.

Nature Aug 19, 2025
read more 

Application of machine learning in early childhood development research: a scoping review.

BMJ open Aug 19, 2025
BACKGROUND: Early childhood development (ECD) lays the foundation for lifelong health, academic success and social well-being, yet over 250 million children in low- and middle-income countries are at risk of not reaching their developmental potential... read more 
Humans Machine Learning Child Child Development Child, Preschool Infant

Advances in mitigating methane emissions from rice cultivation: past, present, and future strategies.

Environmental science and pollution research international Aug 19, 2025
This paper analyzes methane emissions from rice cultivation, a major source of global methane (10-12% of emissions), driven by traditional flooding practices that create anaerobic conditions. Before 2000, continuous flooding was the dominant rice irr... read more 
Popular Topics
Recent Journals