Interventions through Digital Health in Palliative Care
Medical researchers at the University of Edinburgh in Scotland conducted a systematic meta-review of Digital Health Interventions (DHI). The search in ten
Medical researchers at the University of Edinburgh in Scotland conducted a systematic meta-review of Digital Health Interventions (DHI). The search in ten
The article “Diagnostic accuracy of deep learning in medical images: a systematic review and meta-analysis” published in Nature, presents an evaluation of the accuracy
Article published in Naure details, that by using medical text sources entered into electronic medical records, it is possible to learn about possible diseases such as viral pneumonia.
A study on the use of machine learning, through the electronic medical record (ECE) of patients with cardiovascular conditions, was published in Nature. The
Thanks to machine and deep learning methods, detection and prognosis of COVID-19 is possible, using X-rays and CT scans of the chest. Nevertheless,
Researchers from the University of Sheffield published in The Lancet the article: Dynamic prediction of psychological treatment outcomes: development and validation
Through blood tests and the use of Artificial Intelligence (AI), it is possible to detect Alzheimer's disease at an early stage. In March
The editorial of the new April issue of The Lancet Digital Health addresses the issue of digital tools for mental health care
Dermatological researchers and specialists in engineering and Artificial Intelligence (AI), developed an algorithm through a convolutional neural network to examine lesions in the
A study published in the scientific journal PLOS ONE used data from wearables and mobile phones to measure the frailty of patients with cardiovascular diseases and