Some features are more clinically useful than others. Smartwatches and other wearables have moved far beyond just tracking your steps and heart rate. Many of today's versions can monitor everything from sleep and skin temperature to respiratory rate, blood oxygen, heart rate variability and even alert you to possible signs of sleep apnea . If you took Big Tech's marketing at face value, you might conclude that your smartwatch is on the verge of becoming a real-life Star Trek Tricorder. But how reliable are wearables for spotting early signs of illnesses or other medical conditions?

Doctors believe Artificial Intelligence is now saving lives after a major advancement in breast cancer screenings. In some cases, AI is detecting early signs of the disease years before doctors would find the cancer on a traditional scan. Boca Raton, FL – Some doctors believe artificial intelligence is saving lives after a major advancement in breast cancer screenings. In some cases, AI is detecting early signs of the disease years before the tumor would be visible on a traditional scan. The Christine E. Lynn Women's Health and Wellness Institute at the Boca Raton Regional Hospital found a 23% increase in cancer cases since implementing AI during breast cancer screenings.

Summary: OpenAI's ChatGPT program can identify clues from spontaneous speech that are 80% accurate in predicting the early stages of dementia. The artificial intelligence algorithms behind the chatbot program ChatGPT--which has drawn attention for its ability to generate humanlike written responses to some of the most creative queries--might one day be able to help doctors detect Alzheimer's disease in its early stages. Research from Drexel University's School of Biomedical Engineering, Science and Health Systems recently demonstrated that OpenAI's GPT-3 program can identify clues from spontaneous speech that are 80% accurate in predicting the early stages of dementia. Reported in the journal PLOS Digital Health, the Drexel study is the latest in a series of efforts to show the effectiveness of natural language processing programs for early prediction of Alzheimer's--leveraging current research suggesting that language impairment can be an early indicator of neurodegenerative disorders. The current practice for diagnosing Alzheimer's Disease typically involves a medical history review and lengthy set of physical and neurological evaluations and tests.

One day, doctors might be able to use the artificial intelligence algorithms underlying ChatGPT, a chatbot program that has gained notoriety for its capacity to provide human-like written responses to some of the most inventive questions. The GPT-3 algorithm from OpenAI can recognize cues from spontaneous speech that are 80% accurate in predicting the early stages of dementia, according to research from Drexel University's School of Biomedical Engineering, Science, and Health Systems. A thorough assessment of medical history and a battery of physical and neurological examinations and tests are usually performed as part of the standard procedure for diagnosing Alzheimer's disease today. While there is still no cure for the illness, early detection can provide patients with more therapeutic and support choices. Researchers have been focusing on programs that can pick up on subtle clues, such as hesitation, making grammar and pronunciation mistakes, and forgetting the meaning of words, as a quick test that could indicate whether or not a patient should undergo a full examination.

The artificial intelligence algorithms behind the chatbot program ChatGPT--which has drawn attention for its ability to generate humanlike written responses to some of the most creative queries--might one day be able to help doctors detect Alzheimer's disease in its early stages. Research from Drexel University's School of Biomedical Engineering, Science and Health Systems recently demonstrated that OpenAI's GPT-3 program can identify clues from spontaneous speech that are 80% accurate in predicting the early stages of dementia. Reported in the journal PLOS Digital Health, the Drexel study is the latest in a series of efforts to show the effectiveness of natural language processing programs for early prediction of Alzheimer's--leveraging current research suggesting that language impairment can be an early indicator of neurodegenerative disorders. The current practice for diagnosing Alzheimer's Disease typically involves a medical history review and lengthy set of physical and neurological evaluations and tests. While there is still no cure for the disease, spotting it early can give patients more options for therapeutics and support.

Israeli researchers have developed AI-based technology they say could contribute to the development of a more effective screening tool for the early detection of suicidal tendencies and risks. The technology, based on the automatic text analysis of social network content, was detailed in research published in the academic journal Scientific Reports last month. The researchers created a system that combines machine learning and natural language processing (NLP) algorithims with theoretical and analytical tools from the realm of psychology and psychiatry, and uses layered neural networks. The tools developed by the group can be used as an early detection tool for those in the population at-risk of suicidal thoughts or inclinations. It is not limited to people already being treated for mental health issues, a study from both universities said.

The researchers created a system that combines machine learning and natural language processing (NLP) algorithims with theoretical and analytical …

Osteoarthritis is the most common type of arthritis. Cartilage can sometimes wear down so much that the bones start to rub together. People with osteoarthritis can have joint pain, stiffness, or swelling. Some develop serious pain and disability from the disease. Doctors use a combination of medical history and lab or imaging tests to diagnose the condition.

Now, there is one. A new machine learning algorithm devised by a team of computing scientists at the University of Alberta can identify early signal of …

Researchers have developed a smartphone app to help parents detect early signs of various eye diseases in their children such as retinoblastoma, an aggressive pediatric eye cancer. The CRADLE app (Computer-assisted detector leukocoria) searches for traces of abnormal reflections from the retina called leukocoria or "white eye", a primary symptom of retinoblastoma, as well as other common eye disorders. The app can be downloaded for free and can be found under the name "White Eye Detector." The study, published in the journal Science Advances, found that the app is an effective tool to augment clinical leukocoria screenings, allowing parents to efficiently and effectively screen their children more often throughout their development. "We suspected that the app would detect leukocoria associated with other more common disorders and some rare ones," said study researcher Bryan F. Shaw from Baylor University in the US.