We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...
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 ...
AI-based analysis of OCT imaging may detect early signs of sickle cell maculopathy in pediatric patients, a study suggests.
The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.
Medical device makers use AI to turn EU regulatory challenges into competitive advantages via supply chain optimization.
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 ...
An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.
1 George Emil Palade University of Medicine, Pharmacy, Sciences and Technology of Târgu Mureş, Târgu Mures, Romania 2 Universitatea Babes-Bolyai, Cluj-Napoca, Romania The final, formatted version of ...
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