Feb 8, 2021
Fujitsu Laboratories and Hokkaido University have announced the development of a new technology based on the principle of “explainable AI” that automatically presents users with steps needed to achieve a desired outcome based on AI results about data, for example, from medical checkups.
“Explainable AI” represents an area of increasing interest in the field of artificial intelligence and machine learning. While AI technologies can automatically make decisions from data, “explainable AI” also provides individual reasons for these decisions–this helps avoid the so-called “black box” phenomenon, in which AI reaches conclusions through unclear and potentially problematic means.
While certain techniques can also provide hypothetical improvements one could take when an undesirable outcome occurs for individual items, these do not provide any concrete steps to improve.
Study examines link between health literacy and actionable memory for medication-taking
It is important for patients to understand the information they need for making health decisions, yet studies have shown that a large segment of the population lacks the health literacy to do so. Health literacy refers to capacity of people to obtain, process, and understand health information needed for making health decisions. A researcher in the School of Information Sciences at the University of Illinois Urbana-Champaign is addressing this topic.
Many people have inadequate health literacy to support them in understanding health information and/or performing basic self-care activities. Successful self-care would lead to better health outcomes, especially for patients with chronic illness.
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KAWASAKI, Japan, Feb 4, 2021 - (JCN Newswire) - Fujitsu Laboratories Ltd. and Hokkaido University today announced the development of a new technology based on the principle of explainable AI that automatically presents users with steps needed to achieve a desired outcome based on AI results about data, for example, from medical checkups. Explainable AI represents an area of increasing interest in the field of artificial intelligence and machine learning. While AI technologies can automatically make decisions from data, explainable AI also provides individual reasons for these decisions - this helps avoid the so-called black box phenomenon, in which AI reaches conclusions through unclear and potentially problematic means.
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The International Society for Stem Cell Research (ISSCR) launches a new scientific series today, Stem Cells and Global Sustainability, which explores the intersection of stem cell science and global sustainability issues. The four-part series is sponsored by Burroughs Wellcome Fund, BioLamina, NH Foods, and Olympus. Learn more and register. I am delighted that the ISSCR is shining a light on efforts in the stem cell research community to address biodiversity and sustainability issues, said Steve Kattman, Sana Biotechnologies, and a co-organizer of the program with Takanori Takabe, MD, PhD, Cincinnati Children s Hospital Medical Center, USA and Tokyo Medical and Dental University, Japan. The digital series, Stem Cells and Global Sustainability, brings together stem cell researchers, conservation biologists, global ecologists, and food industry innovators to discuss these critical global challenges and ways that Stem Cell Research could have an impact.
Credit: Destinys Agent
It is important for patients to understand the information they need for making health decisions, yet studies have shown that a large segment of the population lacks the health literacy to do so. Health literacy refers to capacity of people to obtain, process, and understand health information needed for making health decisions. A researcher in the School of Information Sciences at the University of Illinois Urbana-Champaign is addressing this topic. Many people have inadequate health literacy to support them in understanding health information and/or performing basic self-care activities, said Assistant Professor Jessie Chin. Successful self-care would lead to better health outcomes, especially for patients with chronic illness.