A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...
The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.
Study links longer duration of mechanical ventilation, a common factor in RAS, as the independent predictor of PPCs, not the surgical technique.
In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...
A new clinical model accurately predicts acne recurrence, highlighting lifestyle and psychological risk factors that can ...
Joint components contributed substantially to model performance, while distinct components captured phase-specific variations.
Bhangu, J. , Sweetman, S. , Williams, G. and Shuttleworth, G. (2025) Patient Footwear Contamination in Ophthalmic Day Surgery: A Prospective Observational Study. International Journal of Clinical ...
New research confirms that an artificial intelligence (AI) model trained on millions of electrocardiograms (ECGs) serves as a ...
Clinician-Identified Health Characteristics and Palliative Care Eligibility: Is Dementia Overlooked?
Conclusions: There is a potential mismatch between what clinicians identify as important in determining palliative care need and final eligibility determinations. Patients with dementia were less ...
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