Frequently Asked Questions
The e-Health and Artificial Intelligence (e-HAIL) program is a multidisciplinary initiative established between Michigan Medicine and the College of Engineering that aims to make the University of Michigan a premier hub for e-Health and AI through building a collaborative community of content experts, methodological researchers, and learners.
Additionally, e-HAIL works to centralize AI advancements in health across the U-M campus, as well as leverage its diverse schools and colleges to bring AI innovations to the bedside.
Its partners include the Michigan Integrated Center for Health Analytics and Medical Prediction (MiCHAMP) and the Artificial Intelligence (AI) Lab. Our members include faculty from the U-M Medical School, College of Engineering, School of Public Health, School of Nursing, and College of Pharmacy.
e-HAIL is currently supported by leadership from the College of Engineering and Michigan Medicine. However, we welcome participation from faculty across all schools and colleges at the University of Michigan who have an interest in developing AI and machine learning to improve health.
Yes. e-HAIL welcomes participation from faculty across all schools and colleges at the University of Michigan who have an interest in developing AI and machine learning to improve health.
No. While some members of e-HAIL are experts in AI, e-HAIL aims to build a diverse community of researchers with broad areas of expertise who are interested in working at the intersection of health and AI.
No. While some members of e-HAIL are experts in health, e-HAIL aims to build a diverse community of researchers with broad areas of expertise who are interested in working at the intersection of health and AI. Someone who brings strong AI expertise but has not previously worked in health (but is interested in health) is absolutely welcome and encouraged to join.
Yes. We frequently host research-in-progress sessions in which PIs can present a methodological advancement or an important clinical problem in which they are looking for input/collaborators. Such sessions typically stimulate a good amount of discussion and can lead to the identification of new research directions that combine methods and use-cases.
e-HAIL members can work with our grant writer in preparation for joint/multi-PI grant applications drawing on the combined contributions of an AI and health expert. Services include the following, based on your needs: advanced editing; consultation and feedback; graphics; non-technical writing; summary/checklist of the FOA/RFA. Please fill out the intake form to request grant writing assistance (if prompted, use Level 1 login).
e-HAIL hosts meetings twice a month to facilitate grant development and foster new collaborations. We also offer a Summer Student Support program that faculty dyads can apply for in order to hire summer student researchers to facilitate preliminary data generation to support grant applications.
It is expected that e-HAIL members regularly participate in our monthly meetings (i.e., attend at least 50% of the meetings) as either a primary presenter or as a community member.
We invite all faculty to apply to for membership. Please complete the application form linked here. Note that membership is open to faculty only; however postdoctoral scholars can attend in lieu of their PI.
e-HAIL Meetings FAQs
e-HAIL meets twice monthly on the second and fourth Friday from 2-3 PM to discuss research in progress and grant development.
e-HAIL meetings are typically structured as research-in-progress meetings. This provides a highly interactive environment where presenting teams can discuss their work, seek feedback from colleagues, and meet potential collaborators.
If you would like to present at an e-HAIL meeting, please reach out to Henrike Florusbosch, e-HAIL Program Manager, at firstname.lastname@example.org indicating what topics you would like to present on and a general time period in which you would like to present.
At this point in time, e-HAIL does not allow students to attend meetings unless they are part of the presenting group as we are focused on building a community of faculty scholars. Postdocs can attend on behalf of faculty members, if listed as a delegate at the time of their application.
Yes. e-HAIL meetings are recorded and made available to members. However, we encourage regular attendance, as meetings are highly interactive and designed to foster new collaborations and facilitate idea generation and development.
Student Support Program FAQs
The e-HAIL Summer Student Support Program was created to encourage new interdisciplinary collaborations in AI & Health and support pilot work and preliminary data analyses for grant submission. This award provides small amounts of funding for interdisciplinary faculty dyads to work with student researchers. The funding support will consist of up to four months of funding for temporary hourly wage (no tuition; up to $12,000/student). The faculty can identify the student they would like to support through this program, or we can assist to identify eligible students with relevant expertise.
To apply for this program, faculty dyads must be comprised of at least two faculty members across at least two different schools and colleges at the University of Michigan (for example, one faculty from College of Engineering and one faculty from Michigan Medicine).
If awarded, it is expected that awardees provide: 1) A progress report including a brief description of project achievements; a specific aims page; an indication of whether the PIs will continue working with the student and how they plan to support the student; and a timeline for proposal submission; 2) A presentation at an upcoming e-HAIL work-in-progress meeting to discuss preliminary findings and specific aims; 3) Feedback on the e-HAIL Summer Student Support program.
CLICK HERE for the 2023 e-HAIL summer student support program. Applications are due Friday, January 27, 2023.
NOTE: You can learn more about the program at our virtual drop-in office hours on the following dates (same presentation – attend when it works best in your schedule).
Monday, December 7, 3:15pm-4:00pm
Monday, January 9, 3:15pm-4:00pm
Zoom (both sessions use the same link: no passcode, waiting room enabled)