[Infovis] [Call for Participants] Visualization in BioMedical AI Workshop @ IEEE VIS 2022

[Wang, Qianwen]

Dear all,

We are writing to invite your contributions to the Visualization in BioMedical AI Workshop @IEEE VIS 2022

Submission Deadline: Aug 17, 2022, AoE
Workshop Website: https://vis-biomed-ai.github.io<https://urldefense.proofpoint.com/v2/url?u=https-3A__vis-2Dbiomed-2Dai.github.io&d=DwMGaQ&c=WO-RGvefibhHBZq3fL85hQ&r=5m85-McmmToU7jFGk97KQOgKYOLzB-hWTdx5vTZ20Bg&m=8sVb6jb8Cn4syGRyTlfYBydnbALoLeaCsmZRHbh9J3K-xhKbiMepbDSNuvW3nEKa&s=US1wzj95rPh63WVfytIId_qBD_uHn6htx8xkbTh4UUo&e=>
Workshop: Virtual, Oct 17, 9:00 am-12:00 pm (UTC-5)

Artificial Intelligence (AI) is advancing biomedical science in many ways, from improving image-based diagnostics to identifying new drugs. Despite its extraordinary performance, AI in biomedical applications should be treated cautiously due to the high stakes involved. Effective visualization can significantly improve the information communication between AI systems and human users and is playing an increasingly important role in biomedical AI.

To explore the challenges and opportunities in this highly interdisciplinary field, we invite submissions from both
1) visualization researchers that conduct application studies on biomedical AI and
2) biomedical AI researchers who address their domain challenges with the help of visualizations.

Apart from visualization tools, case studies, evaluations, and design guidelines, we also highly encourage white papers that discuss scenarios where visualizations are most needed and the obstacles in applying visualizations, regardless of whether the biomedical researchers have developed visualization tools or not.

We accept two types of submissions:
• A 2-4 page paper (without references) of unpublished work using the IEEE VGTC Conference Style Template.
• An up-to 400-word short abstract related to a recent study that has been published at a non-Visualization venue. No template is required.

Please refer to https://vis-biomed-ai.github.io/#cfp<https://urldefense.proofpoint.com/v2/url?u=https-3A__vis-2Dbiomed-2Dai.github.io_-23cfp&d=DwMGaQ&c=WO-RGvefibhHBZq3fL85hQ&r=5m85-McmmToU7jFGk97KQOgKYOLzB-hWTdx5vTZ20Bg&m=8sVb6jb8Cn4syGRyTlfYBydnbALoLeaCsmZRHbh9J3K-xhKbiMepbDSNuvW3nEKa&s=2XtmfHpWXd6QsbHngY4enCF2ZY3kAjJ18FYd8wtlbDM&e=> for more details.

**Organizers**:
Qianwen Wang (Harvard University, USA)
Vicky Yao (Rice University, USA)
Bum Chul Kwon (IBM Research, USA)
Nils Gehlenborg (Harvard University, USA)

**Contact**:
Qianwen Wang (qianwen_wang at hms.harvard.edu<mailto:qianwen_wang at hms.harvard.edu>)
(vis-biomed-ai-workshop at googlegroups.com<mailto:vis-biomed-ai-workshop at googlegroups.com>)