OBJECTIVE: This study was undertaken to develop and validate an artificial intelligence (AI) diagnostic tool using hybrid electroencephalographic (EEG)-video signals for automatic epileptic spasms (ES) detection. METHODS: This retrospective cohort st... read more
The International journal of eating disorders
Mar 31, 2026
OBJECTIVE: Recent growth of online research has been accompanied by an increase in reports of fraudulent participants, which can significantly comprise research validity. Drawing from our experience using Qualtrics with open recruitment, existing lit... read more
Over the years, some animal breeding PhD graduates have found employment in major plant breeding companies, but this shift is often accompanied by culture shock. Animal breeding expertise, particularly in genomic prediction and mixed-model analysis, ... read more
Objective.Electroencephalogram (EEG) signal variability caused by external factors and subject differences limits the adaptation of motor imagery (MI) classification models in brain-computer interfaces (BCIs). Existing domain alignment methods often ... read more
Background: Chronic venous insufficiency (CVI) can be evaluated using Duplex ultrasonography (US) and air plethysmography (PG), yet comparative performance remains unclear. Methods: We retrospectively identified patients who underwent venous insuffic... read more
Pararescue jumpers are United States Air Force medical tactical operators who provide advanced trauma and prolonged casualty care in austere, high-risk environments. Trauma represents the predominant clinical scenario within their operational mission... read more
UNLABELLED: Neutropenic fever (NF) is often the first sign of infection in patients with hematologic malignancies, but its cause is frequently unknown, leading to broad-spectrum antibiotic use without confirmed infections. Although research links gut... read more
Asian cardiovascular & thoracic annals
Mar 31, 2026
Artificial intelligence (AI) has rapidly emerged as a transformative force across multiple scientific and clinical domains, demonstrating remarkable capabilities in data analysis, pattern recognition, and predictive modeling. In the realm of healthca... read more
AbstractNeurosyphilis continues to rise globally, yet diagnosis remains challenging, often requiring multidisciplinary expertise and multiple CSF assays that are difficult to access in resource-limited settings. We developed and compared machine-lear... read more
Journal of the American Medical Informatics Association : JAMIA
Mar 31, 2026
OBJECTIVES: Artificial Intelligence models are increasingly used in health care, yet global performance metrics can mask variations in reliability across individual patients or subgroups with shared attributes, called patient profiles. This study int... read more
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