AIMC Topic: Female

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Two-stage convolutional neural network for segmentation and detection of carotid web on CT angiography.

Journal of neurointerventional surgery Jun 16, 2025
BACKGROUND: Carotid web (CaW) is a risk factor for ischemic stroke, mainly in young patients with stroke of undetermined etiology. Its detection is challenging, especially among non-experienced physicians.
Humans Neural Networks, Computer Female Aged Ischemic Stroke Carotid Arteries Computed Tomography Angiography Carotid Artery Diseases Male Middle Aged Convolutional Neural Networks
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First-in-human, real-time artificial intelligence assisted cerebral aneurysm coiling: a preliminary experience.

Journal of neurointerventional surgery Jun 16, 2025
BACKGROUND: Neuroendovascular procedures require careful and simultaneous attention to multiple devices on multiple screens. Overlooking unintended device movements can result in complications. Advancements in artificial intelligence (AI) have enable...
Endovascular Procedures Intracranial Aneurysm Humans Artificial Intelligence Female Aged Adult Male Middle Aged Embolization, Therapeutic
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OCT in dermatology: a process for determining whether a fully diversified dataset is needed for AI model-building.

Optics letters Jun 15, 2025
Optical coherence tomography (OCT) has sufficient depth penetration for detection of skin pathologies, but its detection effectiveness can be aided by the assistance of artificial intelligence (AI) modeling. AI model-building identifies pathologies b...
Female Aged Aged, 80 and over Young Adult Humans Artificial Intelligence Image Processing, Computer-Assisted Tomography, Optical Coherence Skin Dermatology Adult Male Middle Aged Adolescent
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Clinical correlations of plasma sphingosine-1-phosphate and sphingolipid key enzymes in severe dengue using laboratory and machine learning approach.

Clinica chimica acta; international journal of clinical chemistry Jun 15, 2025
BACKGROUND: Sphingolipids are crucial for vascular integrity and cellular homeostasis, with recent studies highlighting their role in viral diseases.
Male Middle Aged Adolescent Sphingosine Lysophospholipids Sphingolipids Severe Dengue Prospective Studies Female Young Adult Adult Humans Machine Learning
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A machine learning approach for assessing acute infection by erythrocyte sedimentation rate (ESR) kinetics.

Clinica chimica acta; international journal of clinical chemistry Jun 15, 2025
BACKGROUND: The erythrocyte sedimentation rate (ESR) is a traditional marker of inflammation, valued for its simplicity and low cost but limited by unsatisfactory specificity and sensitivity. This study evaluated the equivalence of ESR measurements o...
Kinetics Infections Blood Sedimentation Adult Male Middle Aged Acute Disease Machine Learning Female Aged Humans
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Unraveling Parkinson's disease motor subtypes: A deep learning approach based on spatiotemporal dynamics of EEG microstates.

Neurobiology of disease Jun 15, 2025
BACKGROUND: Despite prior studies on early-stage Parkinson's disease (PD) brain connectivity and temporal patterns, differences between tremor-dominant (TD) and postural instability/gait difficulty (PIGD) motor subtypes remain poorly understood. Our ...
Female Aged Male Middle Aged Deep Learning Parkinson Disease Postural Balance Electroencephalography Humans Brain Tremor Gait Disorders, Neurologic
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Automated Measurements of Spinal Parameters for Scoliosis Using Deep Learning.

Spine Jun 15, 2025
STUDY DESIGN: Retrospective single-institution study.
Male Middle Aged Deep Learning Adolescent Aged Young Adult Adult Child Radiography Spine Scoliosis Humans Neural Networks, Computer Retrospective Studies Female Reproducibility of Results
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Development of an explainable machine learning model for predicting depression in adolescent girls with non-suicidal self-injury: A cross-sectional multicenter study.

Journal of affective disorders Jun 15, 2025
Non-suicidal self-injury (NSSI) in adolescent girls is a critical predictor of subsequent depression and suicide risk, yet current tools lack both accuracy and clinical interpretability. We developed the first explainable machine learning model integ...
Cross-Sectional Studies Humans Depression Machine Learning Adolescent Female Self-Injurious Behavior Risk Factors
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Developing an interpretable machine learning model for screening depression in older adults with functional disability.

Journal of affective disorders Jun 15, 2025
This study utilized data from the 2020 wave of the China Health and Retirement Longitudinal Study database, selecting 4322 participants aged 60 and above as the study sample. Important predictors of depression in older adults with functional disabili...
Mass Screening Aged, 80 and over Longitudinal Studies Male Middle Aged China Depression Humans Persons with Disabilities Machine Learning Logistic Models Female Aged
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Machine learning models for diagnosis and risk prediction in eating disorders, depression, and alcohol use disorder.

Journal of affective disorders Jun 15, 2025
BACKGROUND: Early diagnosis and treatment of mental illnesses is hampered by the lack of reliable markers. This study used machine learning models to uncover diagnostic and risk prediction markers for eating disorders (EDs), major depressive disorder...
Case-Control Studies Adolescent Longitudinal Studies Alcoholism Feeding and Eating Disorders Anorexia Nervosa Bulimia Nervosa Young Adult Adult Male Depressive Disorder, Major Humans Machine Learning Female
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