Wearable devices provide an alternative pathway to clinical diagnostics by exploiting
various physical, chemical and biological sensors to mine physiological (biophysical and/or …

Simple Summary Diagnosing cancer at an early stage increases the chance of performing
effective treatment in many tumour groups. Key approaches include screening patients who …

Introduction The Transparent Reporting of a multivariable prediction model of Individual
Prognosis Or Diagnosis (TRIPOD) statement and the Prediction model Risk Of Bias …

Adequate clinical evaluation of artificial intelligence (AI) algorithms before adoption in
practice is critical. Clinical evaluation aims to confirm acceptable AI performance through …

Artificial intelligence (AI) is expected to significantly influence the practice of medicine and
the delivery of healthcare in the near future. While there are only a handful of practical …

Telemedicine is the use of technology to provide healthcare services and information
remotely, without requiring physical proximity between patients and healthcare providers …

Artificial intelligence (AI) has made impressive progress over the past few years, including
many applications in medical imaging. Numerous commercial solutions based on AI …

Deep learning may transform health care, but model development has largely been
dependent on availability of advanced technical expertise. Herein we present the …

Background Multiple treatments are effective for major depressive disorder (MDD), but the
outcomes of each treatment vary broadly among individuals. Accurate prediction of …

Glaucoma is a leading cause of irreversible vision impairment globally, and cases are
continuously rising worldwide. Early detection is crucial, allowing timely intervention that can …