AIMC Topic: Early Diagnosis
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AI and early diagnostics: mapping fetal facial expressions through development, evolution, and 4D ultrasound.
Journal of perinatal medicine
Feb 14, 2025
The development of facial musculature and expressions in the human fetus represents a critical intersection of developmental biology, neurology, and evolutionary anthropology, offering insights into early neurological and social development. Fetal fa...
Optimized Machine Learning for the Early Detection of Polycystic Ovary Syndrome in Women.
Sensors (Basel, Switzerland)
Feb 14, 2025
Polycystic ovary syndrome (PCOS) is a medical condition that impacts millions of women worldwide; however, due to a lack of public awareness, as well as the expensive testing involved in the identification of PCOS, 70% of cases go undiagnosed. Theref...
Interpretable machine learning-derived nomogram model for early detection of persistent diarrhea in Salmonella typhimurium enteritis: a propensity score matching based case-control study.
BMC infectious diseases
Feb 10, 2025
BACKGROUND: Salmonella typhimurium infection is a considerable global health concern, particularly in children, where it often leads to persistent diarrhea. This condition can result in severe health complications including malnutrition and cognitive...
REMED-T2D: A robust ensemble learning model for early detection of type 2 diabetes using healthcare dataset.
Computers in biology and medicine
Feb 5, 2025
Early diagnosis and timely treatment of diabetes are critical for effective disease management and the prevention of complications. Undiagnosed diabetes can lead to an increased risk of several health issues. Although numerous machine learning (ML) m...
Emotional stimulated speech-based assisted early diagnosis of depressive disorders using personality-enhanced deep learning.
Journal of affective disorders
Feb 4, 2025
BACKGROUND: Early diagnosis of depression is crucial, and speech-based early diagnosis of depression is promising, but insufficient data and lack of theoretical support make it difficult to be applied. Therefore, it is valuable to combine psychiatric...
AI-based non-invasive imaging technologies for early autism spectrum disorder diagnosis: A short review and future directions.
Artificial intelligence in medicine
Jan 31, 2025
Autism Spectrum Disorder (ASD) is a neurological condition, with recent statistics from the CDC indicating a rising prevalence of ASD diagnoses among infants and children. This trend emphasizes the critical importance of early detection, as timely di...
Preclinical Cognitive Markers of Alzheimer Disease and Early Diagnosis Using Virtual Reality and Artificial Intelligence: Literature Review.
JMIR medical informatics
Jan 28, 2025
BACKGROUND: This review explores the potential of virtual reality (VR) and artificial intelligence (AI) to identify preclinical cognitive markers of Alzheimer disease (AD). By synthesizing recent studies, it aims to advance early diagnostic methods t...
AI-Driven Innovations for Early Sepsis Detection by Combining Predictive Accuracy With Blood Count Analysis in an Emergency Setting: Retrospective Study.
Journal of medical Internet research
Jan 24, 2025
BACKGROUND: Sepsis, a critical global health challenge, accounted for approximately 20% of worldwide deaths in 2017. Although the Sequential Organ Failure Assessment (SOFA) score standardizes the diagnosis of organ dysfunction, early sepsis detection...
Recognition and classification of facial expression using artificial intelligence as a key of early detection in neurological disorders.
Reviews in the neurosciences
Jan 21, 2025
The recognition and classification of facial expressions using artificial intelligence (AI) presents a promising avenue for early detection and monitoring of neurodegenerative disorders. This narrative review critically examines the current state of ...
Guardian-BERT: Early detection of self-injury and suicidal signs with language technologies in electronic health reports.
Computers in biology and medicine
Jan 21, 2025
Mental health disorders, including non-suicidal self-injury (NSSI) and suicidal behavior, represent a growing global concern. Early detection of these conditions is crucial for timely intervention and prevention of adverse outcomes. In this study, we...
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