Research

AI Model can Read ECGs to Identify Female Patients at Higher Risk of Heart Disease

A new AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG).

The researchers say the algorithm, designed specifically for female patients, could enable doctors to identify high-risk women earlier, enabling better treatment and care. Details are published today in Lancet Digital Health.

New AI Tool Mimics Radiologist Gaze to Read Chest X-Rays

Artificial intelligence (AI) can scan a chest X-ray and diagnose if an abnormality is fluid in the lungs, an enlarged heart or cancer. But being right is not enough, said Ngan Le, a University of Arkansas assistant professor of computer science and computer engineering. We should understand how the computer makes its diagnosis, yet most AI systems are black boxes whose "thought process" even their creators cannot explain.

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.

Research News

AI Model can Read ECGs to Identify Female Patients at Higher Risk of Heart Disease

New AI Tool Mimics Radiologist Gaze to Read Chest X-Rays

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

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

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

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

Deep Learning to Increase Accessibility, Ease of Heart Imaging

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