Early and precise identification of Parkinson's disease (PD) is crucial for clinical intervention. Resting-state functional magnetic resonance imaging (rs-fMRI) provides a valuable approach for revealing PD-related differences in brain functional con... read more
OBJECTIVE: Manual end-inspiratory pause maneuvers (EIPM) for plateau pressure (Pplat) measurement suffer from significant variability, yet no objective assessment tool exists. This study develops an automated framework to evaluate EIPM reliability du... read more
Digital dental implant planning using panoramic radiographs and cone beam computed tomography (CBCT) imaging is labor-intensive and prone to error due to clinician fatigue, limited digital expertise, and time constraints. Artificial intelligence (AI)... read more
OBJECTIVE: In recent years, increasing attention to sleep health has accelerated development of wearable devices for home monitoring. Two critical challenges remain: providing an unobtrusive sensing solution suitable for long-term deployment, and des... read more
The Journal of neuroscience : the official journal of the Society for Neuroscience
Apr 10, 2026
Chronic low back pain (CLBP) has been linked to maladaptive cortical plasticity in sensorimotor regions, which may contribute to pain persistence through less distinct ("smudged") somatotopic maps of afferent input from the back. However, empirical s... read more
Ultrasound radiomics is gradually emerging as a powerful tool for improving the diagnosis and management of Hashimoto's thyroiditis (HT), effectively overcoming the limitations of conventional ultrasound, such as high interobserver variability and di... read more
BACKGROUND: AI-generated images can support or impede health communication efforts and influence perceptions of health-related topics, making it important to evaluate how these images portray topics like palliative care (PC) and hospice care (HC), wh... read more
Journal of chemical information and modeling
Apr 10, 2026
Adverse drug reaction (ADR) prediction is typically formulated as drug-ADR association learning on extremely sparse, positive-unlabeled matrices, which limits generalization and makes naive pseudolabel expansion prone to confirmation bias. Here, we p... read more
Neurological prognostication of patients in post-traumatic coma remains challenging due to the paucity of reliable markers in the acute phase. We aimed to assess whether early EEG features reflecting multiple levels of brain connectivity related to c... read more
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