Research

To be Happier, Take a Vacation... from Your Smartphone

Today, nearly every American - 91% - owns a cellphone that can access the internet, according to the Pew Research Center. In 2011, only about one-third did. Another study finds they average 5 hours and 16 minutes a day staring at small screens.

With that rapid infiltration has come widespread concern about the negative psychological effects of being chronically online.

Relationship Between Sleep and Nutrition with App Data: A Large-Scale Study

Diet and sleep, which are essential for human survival, are interrelated. However, recently, various services and mobile applications have been introduced for the self-management of health, allowing users to record and gather data on their eating and sleeping habits.

Adults don't Trust Health Care to Use AI Responsibly and without Harm

A study finds that 65.8% of adults surveyed had low trust in their health care system to use artificial intelligence responsibly and 57.7% had low trust in their health care systems to make sure an AI tool would not harm them.

The research letter was published in JAMA Network Open.

People's Trust in AI Systems to Make Moral Decisions is still some Way Off

Psychologists warn that AI's perceived lack of human experience and genuine understanding may limit its acceptance to make higher-stakes moral decisions.

Artificial moral advisors (AMAs) are systems based on artificial intelligence (AI) that are starting to be designed to assist humans in making moral decisions based on established ethical theories, principles, or guidelines.

Deep Learning to Increase Accessibility, Ease of Heart Imaging

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon emission computed tomography (SPECT), uses a radioactive tracer and special camera to provide detailed images of blood flow to the heart, helping doctors detect coronary artery disease and other cardiovascular abnormalities.

AI Unlocks Genetic Clues to Personalize Cancer Treatment

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes - insights that could help doctors tailor treatments more effectively. The largest study of its kind, the research analyzed data for more than 78,000 cancer patients across 20 cancer types. Patients received immunotherapies, chemotherapies and targeted therapies.

Stanford Medicine Study Suggests Physician's Medical Decisions Benefit from Chatbot

Artificial intelligence-powered chatbots are getting pretty good at diagnosing some diseases, even when they are complex. But how do chatbots do when guiding treatment and care after the diagnosis? For example, how long before surgery should a patient stop taking prescribed blood thinners? Should a patient's treatment protocol change if they've had adverse reactions to similar drugs in the past? These sorts of questions don't have a textbook right or wrong answer - it's up to physicians to use their judgment.

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