On Nov. 7, 2017, the American social-media platform Reddit shut down r/Incels, an online forum with more than 40,000 members. This was in line with a new policy the company brought in, banning content ...
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 ...
The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.
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AI helps doctors detect sepsis in kids before it becomes deadly
Sepsis ranks among the deadliest illnesses a child can face. It’s an infection that spirals out of control, causing organ failure and often death.
Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.
Joint components contributed substantially to model performance, while distinct components captured phase-specific variations.
An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.
Medical device makers use AI to turn EU regulatory challenges into competitive advantages via supply chain optimization.
Researchers compared adverse pregnancy outcomes among adolescents with vs without lupus and adults with lupus. Pregnant adolescents with systemic lupus erythematosus were more likely than their ...
AI-based analysis of OCT imaging may detect early signs of sickle cell maculopathy in pediatric patients, a study suggests.
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