[Call for Participation] AAAI Spring Symposium 2024 on Clinical Foundation Models at Stanford University

[Xinyu Li]

Hi all,

I hope you are doing well.

We were wondering if you can share the following Call for Participation
(CFP) for the AAAI Spring Symposium on Clinical Foundation Models
<https://clinicalfoundationmodels.github.io/> to interested researchers and
colleagues.

Website: https://clinicalfoundationmodels.github.io/ (with descriptions and
call for papers).

Wish you a great week ahead!

Thank you,

Rachel and Mononito

----------------------- Call for Participation Below ----------------------

Important Dates

   -

   Submission deadline: Jan 5, 2024
   -

   Notification of acceptance: Feb 9, 2024
   -

   Final versions of papers due: Mar 8, 2024
   -

   Symposium:  Mar 25, 2024 – Mar 27, 2024

All deadlines are 11:59pm UTC-12:00 (anywhere on Earth
<https://www.timeanddate.com/time/zones/aoe>)

Symposium Description

Foundation models are rapidly emerging as powerful tools for solving
various biomedical tasks, even with limited task-specific data, while
specialist machine learning (ML) models can incorporate clinical domain
expertise. Both approaches hold promise for improving patient outcomes and
streamlining healthcare administration, but several questions remain: (1)
What distinguishes them? (2) What challenges exist in their training and
application? (3) How can they seamlessly fit into healthcare routines? (4)
What's the best way to regulate these technologies?

Relevant topics

Relevant topics for the symposium include, but are not limited to: (1)
Clinical foundation model data, pre-training, evaluation, and applications.
(2) Innovative ML methods combining healthcare knowledge from physics,
biology, and chemistry. (3) Challenges limiting the adoption of ML in
healthcare, focusing on usability, trust, robustness, and fairness. (4) New
clinical datasets and benchmarks. (5) Regulatory frameworks, ethical
considerations, and policy implications of ML for healthcare. (6) Software
using foundation models for healthcare challenges, with insights on
development and ethics.

Submission Requirements

We invite submissions for two non-archival tracks: Traditional and
Non-traditional.

Traditional Track: We seek papers which explore novel approaches or offer
fresh insights into the core questions targeted by this symposium. Full
papers can be up to 4 pages long with unlimited pages for references and
appendices. All submissions undergo a double-blind review, must be
anonymized, and should not have been published or under review elsewhere.
Nevertheless, authors can later publish their work in other venues due to
the symposium's non-archival nature.

Non-traditional Track: We invite all sorts of non-traditional research
contributions. This includes papers describing software tools, datasets,
benchmarks, clinical abstracts, or previously published research findings
that can stimulate insightful discussions among the symposium attendees.
These submissions should be up to 2 pages long with unlimited pages for
references and appendices. The review process is single-blind. Submissions
can be previously published or under review elsewhere, and accepted papers
may also be published in other archival venues later.

Submission Site Information

https://openreview.net/group?id=AAAI.org/2024/Spring_Symposium_Series/Clinical_FMs
<https://openreview.net/group?id=AAAI.org/2024/Spring_Symposium_Series/Clinical_FMs>

Submission Format: Authors should follow the formatting guidelines outlined
in the AAAI-24 Author Kit <https://aaai.org/authorkit24-2/>.

Confirmed Keynotes and Panelists

   -

   Dr. Hoifung Poon
   <https://www.microsoft.com/en-us/research/people/hoifung/>, Microsoft
   Health Futures
   -

   Dr. Vivek Natarajan <https://research.google/people/106654/>, Google
   Health AI
   -

   Dr. Nigam Shah <https://med.stanford.edu/profiles/nigam-shah>, Professor
   of Medicine, Stanford University
   -

   Dr. Laurent Callot <https://lcallot.github.io/>, Amazon


Confirmed Tutorials and Demos

   -

   Nixtla <http://nixtla.io>


Contact Us

Further details can be found on our symposium website:
https://clinicalfoundationmodels.github.io/. Please direct questions to:
clinicalfms at gmail.com and follow us on Twitter/X at @clinicalfms
<https://twitter.com/clinicalfms>.

Organizers

   -

   Artur Dubrawski (Carnegie Mellon University)
   -

   Frederic Sala (University of Wisconsin-Madison)
   -

   Gilles Clermont (University of Pittsburgh)
   -

   Jimeng Sun (University of Illinois Urbana-Champaign)
   -

   Su-In Lee (University of Washington)
   -

   Tristan Naumann (Microsoft Research)
   -

   Xinyu (Rachel) Li (Carnegie Mellon University)
   -

   Mononito Goswami (Carnegie Mellon University)
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