More articles about: Artificial intelligence (AI)

Artificial intelligence (AI) use by older adults may help them age in place and find health information but many are concerned about risks and want transparency.

Cyrena Matingou reflects on her IHPI Summer Internship experience with the TIERRA team, where she supported Dr. Jodyn Platt and contributed to the team’s presentation at the Michigan Health Information Technology Commission (HITC). In her blog post, she shares insights from her time with TIERRA and what she learned about public trust and the role of AI in healthcare.

AI guidance for clinicians aimed at reducing the spread of C.diff was deployed for the first time in a hospital setting, according to a University of Michigan-led study.

In a perspective piece published in NEJM AI, Weil Institute data science researchers comment on the shortcomings of existing methods for monitoring predictive AI models post-deployment in clinical settings.

A recent article in Nature details why the quest to determine the shapes of RNA is difficult even for artificial intelligence.

Dana Habers, M.P.H., joined the Well-Being at Michigan Medicine podcast to discuss the pivotal role innovation played in improving both health care delivery and organizational well-being. Habers is Michigan Medicine’s chief innovation officer and chief operating officer of pharmacy services. In the conversation, Habers emphasized that innovation was about "magnificent problem solving," citing the successful rollout of COVID vaccines as a prime example of rapid, large-scale problem-solving within a complex health care system. Habers saw herself as a bridge between strategy and operations, focusing on scalable processes to solve diverse challenges. In her leadership role, Habers advocated for a culture that prioritized well-being by setting guiding principles for her team. She believed that when leaders modeled behavior and made decisions based on clear principles, it helped align efforts and reduced burnout. Habers also highlighted the importance of using AI to alleviate administrative burdens, allowing staff to focus on more rewarding aspects of patient care. For example, AI tools in pharmacies helped reduce the time spent on prior authorizations, enabling staff to spend more time assisting patients. Habers acknowledged the complexity of implementing AI in health care, balancing innovation with safety. Her team followed a cautious, rigorous approach, starting with smaller, low-risk projects to build a solid foundation for more advanced AI applications, like ambient clinical documentation tools, which helped providers document patient information more efficiently. Looking ahead, Habers was focused on creating a culture of belonging and inclusion at Michigan Medicine, alongside continuing innovation efforts. She believed that improving organizational well-being was crucial for both employee retention and patient care. The integration of AI, she argued, had to solve real-world problems while maintaining a strong focus on workforce sustainability. Ultimately, Habers envisioned a future where innovation enhanced both caregiver and patient experiences, benefiting the entire healthcare system.

Teams studying liver cancer, brain tumors, obesity medicine, CMV, sleep and memory, cancer immunotherapy aortic aneurysms and bipolar disorder are competing in STAT Madness

How could A.I. potentially revolutionize healthcare delivery? The application of computer algorithms to medical knowledge has a long history, one that has accelerated in recent years to include generative AI platforms like ChatGPT. U-M expert Dr. Cornelius James discusses how AI is touching everything from doctors’ workloads to diagnostics to medical education.

A study published in JAMA Network Open finds most people want to be notified if AI is used in their health care.

Seeing is believing: A newly developed algorithm allows researchers to see how a gene is expressed at microscopic resolution.

Anne Draelos, Ph.D., Assistant Professor of Biomedical Engineering and Computational Medicine & Bioinformatics, has been named a 2024 Sloan Research Fellow in Neuroscience.

Surgery patients who drink at a risky level have higher risks of complications; surgical teams could use artificial intelligence to search their records for signs that they may need to cut back.

AI can predict certain forms of esophageal and stomach cancer Michigan Medicine study says.

An interview with Dr. Geoffrey Siwo on AI, computational medicine and advancing global health equity.

Researchers hope it will improve diagnosis and treatment, as well as clinical trial enrollment.