CIENCIASMEDICASNEWS: Medical News | Medical Articles: Using Virtual Reality to Improve Medical Training

lunes, 20 de mayo de 2019

Medical News | Medical Articles: Using Virtual Reality to Improve Medical Training

	May 20, 2019
	Artificial Intelligence in Healthcare
	The latest artificial intelligence in healthcare news from News Medical

Using Virtual Reality to Improve Medical Training

When doctors no longer examine the patient through massive incisions, and cadaver training is a thing of the past, medical education looks to virtual reality. Medical professionals immerse themselves in human anatomy in more detail than ever before while the human body once again becomes sacrosanct. The tools already exist.

			AI can predict breast cancer risk up to 5 years before diagnosis A team of researchers at MIT have developed an AI model that can predict breast cancer from mammogram images up to five years before a diagnosis can be made by doctors.

			AI can detect signs of anxiety and depression in speech patterns of children A machine learning algorithm can detect signs of anxiety and depression in the speech patterns of young children, potentially providing a fast and easy way of diagnosing conditions that are difficult to spot and often overlooked in young people, according to new research published in the Journal of Biomedical and Health Informatics.

	Blood based test using AI and nanotechnology devised for chronic fatigue syndrome People suffering from chronic fatigue syndrome (CFS) have been up until now treated with scepticism at best. Their symptoms have been negated as vague and their debilitating condition has not received the status of being proven in a test. No more now!

	Ethical and social implications of embodied AI in mental health care Interactions with artificial intelligence will become an increasingly common aspect of our lives. A team at the Technical University of Munich has now completed the first study of how "embodied AI" can help treat mental illness.

	Mechanical Properties of Porous Materials Can be Accurately Predicted Through Machine Learning Algorithm It is possible to use machine learning to estimate the characteristics of a class of materials which, according to some researchers, can be as significant to the 21st century as plastics were to the 20th era.

	Using artificial intelligence to identify socially isolated prostate cancer patients We fare better during health challenges when we have a little help from our friends, family and community. And perhaps an assist from artificial intelligence. Researchers at the Medical University of South Carolina (MUSC) trained natural language processing (NLP) software to look for mentions of social isolation in clinical notes in the electronic health record (EHR).