Trustworthy AI isn’t just about predicting the right outcome; it’s about knowing how confident we should actually be.

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

TEM rolls out new AI tools across oncology, cardiology and mental health, accelerating its push to reshape MedTech innovation ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Introduction Cerebral palsy (CP) is a non-progressive condition involving movement and muscle tone difficulties due to injury to the developing brain. Most cases arise around birth, but a smaller ...

RNA modification is a key regulator of neuroblastoma oncogenesis and differentiation. NSUN6, a 5-methylcytosine-specific messenger ...

Primary and secondary outcome measures Children’s mental health was assessed using the Mental Health Test; parental anxiety and depression were measured with the Generalised Anx ...

The GENCOV study developed clinical laboratory‑based risk scores to predict mortality among hospitalized COVID‑19 patients in ...

Results in a population of 278 patients affirm statistically significant mortality reductionsBenefits observed across severity groups and in ...