A study in the Journal of The National Cancer Institute Cancer Spectrum looked at chatbots and artificial intelligence (AI), as they become popular resources for cancer information. They found these resources give accurate information when asked about common cancer myths and misconceptions. In the first study of its kind, Skyler Johnson, MD, physician-scientist at Huntsman Cancer Institute and assistant professor in the department of radiation oncology at the University of Utah (the U), evaluated the reliability and accuracy of ChatGPT's cancer information.

Smartphone spyware apps that allow people to spy on each other are not only hard to notice and detect, they also will easily leak the sensitive personal information they collect, says a team of computer scientists from New York and San Diego.

While publicly marketed as tools to monitor underage children and employees using their employer’s equipment, spyware apps are also frequently used by

Computed tomography (CT) is one of the most powerful and well-established diagnostic tools available to modern medicine. An increasing number of people have been opting for CT scans, raising concerns about the amount of X-ray radiation that patients are exposed to. Ideally, a patient is exposed to minimum radiation levels during treatments or diagnostic procedures, while still receiving the expected benefit.

Virtual reality gamers (VR game) who finished it faster than their fellow gamers also have higher levels of general intelligence and processing capacity. This was the result of a study conducted by the University of Cologne, the University of Liechtenstein and Vorarlberg University of Applied Sciences. The results also indicate that virtual reality games can be useful supplementary human resource management tools in companies for predicting the job performance of an applicant.

Researchers at UCL and University of Ghana have successfully predicted whether children have anaemia using only a set of smartphone images.

The study, published in PLOS ONE, brought together researchers and clinicians at UCL Engineering, UCLH and Korle Bu Teaching Hospital, Ghana to investigate a new non-invasive diagnostic technique using smartphone photographs of the eye and face.

A team of researchers from the University of British Columbia and BC Cancer have developed an artificial intelligence (AI) model that predicts cancer patient survival more accurately and with more readily available data than previous tools.

The model uses natural language processing (NLP) - a branch of AI that understands complex human language - to analyze oncologist notes following a patient’s initial consultation visit - the first step in the cancer journey after diagnosis.

Although investigators have made strides in detecting signs of Alzheimer's disease using high-quality brain imaging tests collected as part of research studies, a team at Massachusetts General Hospital (MGH) recently developed an accurate method for detection that relies on routinely collected clinical brain images. The advance could lead to more accurate diagnoses.