AIMC Topic: Early Medical Intervention

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Potentials of artificial intelligence in familial hypercholesterolemia: Advances in screening, diagnosis, and risk stratification for early intervention and treatment.

International journal of cardiology Jul 6, 2024
Familial hypercholesterolemia (FH) poses a global health challenge due to high incidence rates and underdiagnosis, leading to increased risks of early-onset atherosclerosis and cardiovascular diseases. Early detection and treatment of FH is critical ...
Artificial Intelligence Risk Assessment Humans Early Diagnosis Early Medical Intervention Mass Screening Hyperlipoproteinemia Type II
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Predicting conversion to wet age-related macular degeneration using deep learning.

Nature medicine May 18, 2020
Progression to exudative 'wet' age-related macular degeneration (exAMD) is a major cause of visual deterioration. In patients diagnosed with exAMD in one eye, we introduce an artificial intelligence (AI) system to predict progression to exAMD in the ...
Prognosis Female Humans Male Disease Progression Aged Aged, 80 and over Geographic Atrophy Macular Degeneration Early Diagnosis Wet Macular Degeneration Early Medical Intervention Imaging, Three-Dimensional Deep Learning Tomography, Optical Coherence
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Identifying Children With Clinical Language Disorder: An Application of Machine-Learning Classification.

Journal of learning disabilities May 7, 2019
In this study, we identified child- and family-level characteristics most strongly associated with clinical identification of language disorder for preschool-aged children. We used machine learning to identify variables that best classified children ...
Language Therapy Outcome Assessment, Health Care Early Diagnosis Early Medical Intervention Language Development Disorders Male Child, Preschool Female Humans Machine Learning
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Rapid identification of slow healing wounds.

Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society Feb 4, 2016
Chronic nonhealing wounds have a prevalence of 2% in the United States, and cost an estimated $50 billion annually. Accurate stratification of wounds for risk of slow healing may help guide treatment and referral decisions. We have applied modern mac...
Child, Preschool Child Logistic Models Models, Theoretical Adolescent Wounds and Injuries Aged, 80 and over Time Factors Early Medical Intervention Retrospective Studies Young Adult Female Middle Aged Infant Adult Aged Risk Assessment Infant, Newborn Disease Management Male Wound Healing Early Diagnosis Machine Learning Humans Reproducibility of Results Chronic Disease Prognosis
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