Regular screening of patients with cirrhosis can diagnose liver cancer early and improve survival but it is inconsistently done. We assembled a team of experts with complementary expertise to increase liver cancer screening using the electronic medical record system to send reminders to healthcare providers and patients. Additionally, we use two novel methods, including machine…Details
Joan Keiser facilitates MiCHAMP Year 3 strategic planning meeting
The LHS Collaboratory is a hub for advancing interdisciplinary research and development of learning health systems at the University of Michigan. Joan’s poster presentation was to convey how MiCHAMP can contribute to that mission. You can view the poster here: https://umich.box.com/v/LHS-Collaboratory
Register now for FFMI Symposium: Exploring the Singularity in Healthcare: Digital Innovation for IMPACT
Join Fast Forward Medical Innovation for an exclusive health IT symposium to learn about the growing and inevitable intersection of technology and healthcare, along with research/innovation/commercialization opportunities in the arena of digital health and “big data”. This half-day event is designed to educate faculty, staff, students, and community on how digital tools, precision health, and machine learning algorithms will change…Details
University of Michigan’s Institute for Healthcare Policy and Innovation (IHPI) recently released their digital annual report. http://ihpiannualreport.med.umich.edu/ MiCHAMP members Karandeep Singh and Akbar Waljee Discuss Precision Health in IHPI Annual Report: https://www.youtube.com/watch?v=E8DYNvpkZUYDetails
A specific type of blood thinner may be a safer choice for reducing stroke risk in those who have both end-stage kidney disease and atrial fibrillation.
The Michigan Institute for Data Science (MIDAS) will host the Women in Big Data at Michigan Symposium on November 12th, 8:30 AM – 4:30 PM at the Michigan League. For more information and to register to attend, visit the MIDAS website
The Machine Learning for Healthcare Conference (MLHC) will be hosted by the University of Michigan August 8-10, 2019. MLHC is an annual research meeting that exists to bring together two usually insular disciplines: computer scientists with artificial intelligence, machine learning, and big data expertise, and clinicians/medical researchers. The 2018 conference was held at Stanford University…Details
Artificial intelligence, which is bringing us everything from self-driving cars to personalized ads on the web, is also invading the world of medicine.