Artificial intelligence for personalized multiple micronutrient supplementation in maternal health
Abstract Maternal undernutrition and micronutrient deficiencies remain pervasive, contributing to adverse pregnancy outcomes and long‐term health risks for mothers and offspring. Multiple micronutrient supplementation (MMS) during pregnancy has demonstrated benefits, including reduced risks of low birth weight, small‐for‐gestational‐age births, and ...
Gabriel Davis Jones +9 more
wiley +1 more source
Using Natural Language Processing to Improve Fall Documentation in VA Nursing Home Residents. [PDF]
Graham LA +9 more
europepmc +1 more source
Beyond Traditional Screening: The Future of Heart Failure Detection With Biomarkers and AI
Advancing HF Screening: Integrating Technology and Risk Factors Across Eras. This diagram provides a comprehensive review of the historical developments and projected trends of heart failure (HF) screening methodologies, with the prevalent risk factors for HF depicted at the base.
Xiaofeng Fang +9 more
wiley +1 more source
Natural Language Processing for Substance Use Disorder Information Extraction: A Systematic Literature Review. [PDF]
Wyse RJ +6 more
europepmc +1 more source
ABSTRACT With rising use of artificial intelligence (AI) in organizations, alongside increasing mental health issues, we seek to understand how AI use affects human stress. Drawing on the automation–augmentation perspective, we propose that AI control over decision‐making thwarts human autonomy and thus contributes to stress.
Florian Klonek, Sharon Parker
wiley +1 more source
Medical challenges and unmet needs of individuals with 22q11.2 deletion syndrome as perceived by caregivers: A thematic analysis and natural language processing-based thematic extraction. [PDF]
Sawai Y +8 more
europepmc +1 more source
ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig +2 more
wiley +1 more source
Natural Language Processing Algorithm Accurately Classifies Diverticulitis-Related Complications and Predicts Long-Term Outcomes. [PDF]
Ma W +12 more
europepmc +1 more source
DERMACLEAR: AI‐Powered Insights Into Four Chronic Inflammatory Skin Diseases in Spain
Using an AI‐enhanced analysis of electronic health records from nearly 50,000 patients, the DERMACLEAR study provides real‐world insights into the prevalence, clinical complexity, comorbidities and treatment patterns of HS, CU, PsO and AD in Spain.
Ana Giménez‐Arnau +11 more
wiley +1 more source
Identifying postpartum depression subtypes using natural language processing and clinical notes. [PDF]
Adekkanattu P +10 more
europepmc +1 more source

