Research

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.

OmicsFootPrint: Mayo Clinic's AI Tool Offers a New Way to Visualize Disease

Mayo Clinic researchers have pioneered an artificial intelligence (AI) tool, called OmicsFootPrint, that helps convert vast amounts of complex biological data into two-dimensional circular images. The details of the tool are published in a study in Nucleic Acids Research.

Omics is the study of genes, proteins and other molecular data to help uncover how the body functions and how diseases develop.

Testing AI with AI: Ensuring Effective AI Implementation in Clinical Practice

Using a pioneering artificial intelligence platform, Flinders University researchers have assessed whether a cardiac AI tool recently trialled in South Australian hospitals actually has the potential to assist doctors and nurses to rapidly diagnose heart issues in emergency departments.

"AI is becoming more common in healthcare, but it doesn’t always fit in smoothly with the vital work of our doctors and nurses," says Flinders University's Dr Maria Alejandra Pinero de Plaza, who led the research.

Research News

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

AI Unlocks Genetic Clues to Personalize Cancer Treatment

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

OmicsFootPrint: Mayo Clinic's AI Tool Offers a New Way to Visualize Disease

Testing AI with AI: Ensuring Effective AI Implementation in Clinical Practice

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