Home | IMAGINE AI 2024

champion

$5000 In Cash

1st runner-up

$3000 In Cash

2nd runner-up

$2000 In Cash

Agentic AI Special Award

$5000 In Cash

Registration

If you already have a team: Indicate the name of your team leader in the registration form. If you are the team leader, please submit the problem statement for our review. Each team member must fill out the registration form individually. Team size should range from 3 to 8 members.

If you do not have a team: You can register as an individual participant. You may choose to be a team member or a team leader. If you opt to be a team leader, you must submit a problem statement. Team matching will occur at the end of November, and you will be assigned to a team.

*Please note that all team leaders should come from the clinical domain.

General Information

Dates

7th - 8th Dec

Location

National University of Singapore, Saw Swee Hock School of Public Health, Tahir Foundation Building (MD1), 12 Science Drive 2, Singapore 117549

Ticket Prices

Early Bird: $150 / Standard: $199 / Student: $50

Guidelines

Problem Statement

Submission: 31st Oct 2024
Notification of acceptance: 15th Nov 2024
Notification of team matching: 30th Nov 2024

Clinical leads are responsible for proposing and submitting a problem statement by Oct 31st, they may submit it as an individual or as part of a pre-formed team. The problem statement must be clinically-focused and feasibly addressed using at least one of the datasets provided. For examples, you may refer to past Datathon projects . Everyone in the group must apply to gain access to datasets prior to 30th November 2024. Teams should not reuse project problem statements that they have previously published or have already been working on for a long time, instead to propose new problem statements for the Datathon. A declaration will be required during submission to assert the above. All problem statements will be reviewed by our scientific mentor panel. Please click here to view the selected problem statements.

Electronic Medical Record Datasets

MIMIC-IV Dataset

Introduction and and Access: https://physionet.org/content/mimiciv/3.0

Documentation: https://github.com/MIT-LCP/mimic-iv

Github Repository: https://github.com/MIT-LCP/mimic-code/tree/main/mimic-iv

When using this resource, please cite:

Johnson, A., Bulgarelli, L., Pollard, T., Gow, B., Moody, B., Horng, S., Celi, L. A., & Mark, R. (2024). MIMIC-IV (version 3.0). PhysioNet. https://doi.org/10.13026/hxp0-hg59

Additionally, please cite the original publication:

Johnson, A.E.W., Bulgarelli, L., Shen, L. et al. MIMIC-IV, a freely accessible electronic health record dataset. Sci Data 10, 1 (2023). https://doi.org/10.1038/s41597-022-01899-x

Please include the standard citation for PhysioNet:

Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., .. & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215-e220.

PASAR Dataset

Introduction and Documentation: https://ekja.org/journal/view.php?doi=10.4097/kja.23580

When using this resource, please cite:

Abdullah, H. R., Lim, D. Y. Z., Ke, Y., Salim, N. N. M., Lan, X., Dong, Y., & Feng, M. (2024). The SingHealth Perioperative and Anesthesia Subject Area Registry (PASAR), a large-scale perioperative data mart and registry. Korean Journal of Anesthesiology, 77(1), 58-65.

INSPIRE Dataset

Data and Documentation: https://physionet.org/content/inspire/1.3/

Sample Code: https://github.com/vitaldb/inspire/blob/main/gbm_mortality.py

When using this resource, please cite:

Lim, L., & Lee, H. (2024). INSPIRE, a publicly available research dataset for perioperative medicine (version 1.3). PhysioNet. https://doi.org/10.13026/46m4-f655.

Additionally, please cite the original publication:

Leerang Lim et al. INSPIRE, a publicly available research dataset for perioperative medicine. Sci Data. 2024 Jun 21;11(1):655.

Please include the standard citation for PhysioNet:

Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., ... & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215–e220.

eICU-CRD Dataset

Introduction and Access: https://physionet.org/content/mimiciii/1.4

Documentation: https://eicu-crd.mit.edu/about/eicu/

Github Repository: https://github.com/mit-eicu/eicu-code

When using this resource, please cite:

Pollard, T., Johnson, A., Raffa, J., Celi, L. A., Badawi, O., & Mark, R. (2019). eICU Collaborative Research Database (version 2.0). PhysioNet. https://doi.org/10 13026/C2WM1R.

Additionally, please cite the original publication:

The elCU Collaborative Research Database, a freely available multi-center database for critical care research. Pollard TJ, _Johnson AEW, Raffa Celi LA, Mark RG and Badawi 0. Scientific Data (2018). DOI: http.//dx.doi.org/10.1038/sdata.2018.178

MIMIC-III Dataset

Introduction and Access: https://physionet.org/content/mimiciii/1.4/

Documentation: https://mimic.mit.edu/docs/iii/

Github Repository: https://github.com/MIT-LCP/mimic-code/tree/main/mimic-iii

When using this resource, please cite:

Johnson, A., Pollard, T., & Mark, R. (2016). MIMIC-III Clinical Database (version 1.4). PhysioNet. https://doi.org/10.13026/C2XW26.

Additionally, please cite the original publication:

Johnson, A. E. W., Pollard, T. J., Shen, L., Lehman, L. H., Feng, M., Ghassemi, M., Moody, B., Szolovits, P., Celi, L. A., & Mark, R. G. (2016). MIMIC-III, a freely accessible critical care database. Scientific Data, 3, 160035.

Please include the standard citation for PhysioNet:

Goldberger, A., Amaral, L., Glass, L., Hausdorff, J., Ivanov, P. C., Mark, R., … & Stanley, H. E. (2000). PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation [Online]. 101 (23), pp. e215-e220.

Medical Imaging Datasets

MIMIC-CXR Dataset

Introduction and Access: https://physionet.org/content/mimic-cxr/2.1.0/

Documentation: https://mimic.mit.edu/docs/iv/modules/cxr/

Github Repository: https://github.com/MIT-LCP/mimic-code/tree/main/mimic-iv-cxr

When using this resource, please cite:

Johnson, A., Pollard, T., Mark, R., Berkowitz, S., & Horng, S. (2024). MIMIC-CXR Database (version 2.1.0). PhysioNet. https://doi.org/10.13026/4jqj-jw95

Additionally, please cite the original publication:

Johnson, A.E.W., Pollard, T.J., Berkowitz, S.J. et al. MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports. Sci Data 6, 317 (2019). https://doi.org/10.1038/s41597-019-0322-0

Please include the standard citation for PhysioNet:

NIH Chest X-ray Dataset

Data and Documentation: https://www.kaggle.com/nih-chest-xrays/data

When using this resource, please cite:

Wang, X., Peng, Y., Lu, L., Lu, Z., Bagheri, M., & Summers, R. M. (2019). ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases. In L. Lu, X. Wang, G. Carneiro, & L. Yang (Eds.), Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics (pp. 369–392). Springer International Publishing. https://doi.org/10.1007/978-3-030-13969-8_18

The Diffusion-Simulated Connectivity Dataset (DISCO)

Data and Documentation: https://data.mendeley.com/datasets/fgf86jdfg6/2

When using this resource, please cite:

Rafael-Patino, Jonathan; Girard, Gabriel; Truffet, Raphael; Pizzolato, Marco; Caruyer, Emmanuel; Thiran, Jean-Philippe (2022), “The Diffusion-Simulated Connectivity Dataset”, Mendeley Data, V2, doi: 10.17632/fgf86jdfg6.2

Stanford CheXpet Dataset

Data and Documentation: https://stanfordmlgroup.github.io/competitions/chexpert/

When using this resource, please cite:

Irvin, J., Rajpurkar, P., Ko, M., Yu, Y., Ciurea-Ilcus, S., Chute, C., ... & Ng, A. Y. (2019, July). Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison. In Proceedings of the AAAI conference on artificial intelligence (Vol. 33, No. 01, pp. 590-597).

LDPolypVideo Dataset

Data and Documentation: https://github.com/dashishi/LDPolypVideo-Benchmark

When using this resource, please cite:

Yiting. Ma, Xuejin. Chen, Kai. Cheng, Yang. Li and Bin. Sun. “LDPolypVideo Benchmark: A Large-scale Colonoscopy Video Dataset of Diverse Polyps”, Medical Image Computing and Computer Assisted Intervention Society, 2021 MELA: Mediastinal Lesion Analysis

MICCAI 2022 MELA Challenge: Mediastinal Lesion Analysis

*Individual Data Access Request Required
Data and Documentation: https://mela.grand-challenge.org/

When using this resource, please cite:

https://mela.grand-challenge.org/

EMory BrEast Imaging Dataset (EMBED)

Data and Documentation: https://aws.amazon.com/marketplace/pp/prodview-unw4li5rkivs2

Github Repository and Documentation: https://github.com/Emory-HITI/EMBED_Open_Data

When using this resource, please cite:

Jeong, J. J., Vey, B. L., Bhimireddy, A., Kim, T., Santos, T., Correa, R., ... & Trivedi, H. (2023). The EMory BrEast imaging Dataset (EMBED): A racially diverse, granular dataset of 3.4 million screening and diagnostic mammographic images. Radiology: Artificial Intelligence, 5(1), e220047.

Medical Monitoring Datasets

VitalDB Dataset

Data and Documentation: https://vitaldb.net/dataset/

Github Repository: https://github.com/vitaldb/examples

When using this resource, please cite:

Lee HC, Park Y, Yoon SB, Yang SM, Park D, Jung CW. VitalDB, a high-fidelity multi-parameter vital signs database in surgical patients. Sci Data. 2022 Jun 8;9(1):279. doi: 10.1038/s41597-022-01411-5. PMID: 35676300; PMCID: PMC9178032.

MENTORS

Dr Seng Chan YouAssistant Professor, Department of Biomedicine Systems Informatics, Yonsei University College of Medicine

Dr Swetha Kiranmayi JakkuvaReal World Evidence Lead, Global Value Web

Dr Jason C. HsuPresident, OHDSI Taiwan Society | Associate Professor, International PhD Program in Biotech and Healthcare Management, College of Management, Taipei Medical University, Taiwan

Mr Yoshihiro AoyagiManager, Department of Medical Information, National Cancer Center Hospital East

Professor Judy Wawira GichoyaAssociate Professor in the Department of Radiology and Imaging Sciences, School of Medicine, Emory University

Dr Patrick RyanVice President, Observational Health Data Analytics, Janssen Research and Development | Assistant Professor, Adjunct; Department of Biomedical Informatics, Columbia University Medical Center

Professor Hua XuRobert T. McCluskey Professor and Vice Chair for Research and Development, Department of Biomedical Informatics and Data Science | Assistant Dean for Biomedical Informatics, Yale School of Medicine, Yale University

Dr Anirban BhattacharyyaVice Chair Research in the Department of Critical Care at Mayo Clinic Florida

Ms Erica A. VossSenior Director, Observational Health Data Analytics, Global Epidemiology Organization, Johnson & Johnson

Dr Marc SuchardProfessor, Department of Biomathematics, David Geffen School of Medicine, University of California, Los Angeles | Research Investigator, VA Informatics and Computing Infrastructure, US Department of Veterans Affairs

Carla JohnsonSenior Director, Mayo Clinic

Dr Krittaphas ChaisutyakornMedical Doctor & Researcher, Faculty of Medicine Siriraj Hospital, Mahidol University

Roger WardSolutions Architect, Australian Research Data Commons (ARDC)

Dr Rae Woong ParkProfessor and Director Department of Biomedical Informatics, Ajou University School of Medicine, South Korea

Dr Barret RushAssistant professor, Max Rady College of Medicine, University of Manitoba

Professor Hari M. TrivediCo-director of the Health Innovation and Translational Informatics, Emory University

Pierandrea MorandiniMentor, MIT Critical Data

Dr Tatsuo HiramatsuProfessor, Innovation & Research Support Center International University of Health and Welfare

Liam McCoyResident Physician in Neurology, Faculty of Medicine & Dentistry, University of Alberta

Dr Aaron SpauldingSenior Associate Consultant II-Research, Mayo Clinic

Parthiban SulurVice President, Innovation and Sales, Global Value Web

Dr Martijn SchuemieResearch Fellow, Global Epidemiology, Johnson & Johnson

Dr Nicole PrattProfessor, University of South Australia

00:00 - Registration and Breakfast
MD1 L8
01:00 - Opening Address
MD1 L8 Seminar Room 1
Opening
By Mengling Feng
Introduction of EMBED
By Hari Trivedi
Introduction of INSPIRE
By Hyung-Chul Lee
Introduction of MIMIC
By Pierandrea Morandin
How to survive and enjoy the datathon
By Leo Celi
02:00 - Group Breakout & Mentoring Session 1
MD1L8 Learning Room 1&2
04:00 - Lunch Break
MD1 L2 Foyer
05:00 - Hacking
MD1 L8 Learning Room 1&2
09:00 - Group Exercise
With Leo Celi
MD1 L2 Foyer
10:00 - Dinner Break
MD1 L2 Foyer
14:00 - End of Day 1

Advisory Chair

Assistant Professor Feng MenglingAssistant Professor, Saw Swee Hock School of Public Health & Assistant Director Of Research (Healthcare), NUS Institute of Data Science

Organising Chair

Qianyi XuResearch Assistant, NUS

Datathon

Edge of Tomorrow: Develop AI models for healthcare solutions

champion

1st runner-up

2nd runner-up

Agentic AI Special Award

Registration

General Information

Dates

Location

Ticket Prices

Guidelines

Problem Statement

Electronic Medical Record Datasets

When using this resource, please cite:

Additionally, please cite the original publication:

Please include the standard citation for PhysioNet:

When using this resource, please cite:

When using this resource, please cite:

Additionally, please cite the original publication:

Please include the standard citation for PhysioNet:

When using this resource, please cite:

Additionally, please cite the original publication:

When using this resource, please cite:

Additionally, please cite the original publication:

Please include the standard citation for PhysioNet:

Medical Imaging Datasets

When using this resource, please cite:

Additionally, please cite the original publication:

Please include the standard citation for PhysioNet:

When using this resource, please cite:

When using this resource, please cite:

When using this resource, please cite:

When using this resource, please cite:

When using this resource, please cite:

When using this resource, please cite:

Medical Monitoring Datasets

When using this resource, please cite:

MENTORS

00:00 - Registration and Breakfast

01:00 - Opening Address

02:00 - Group Breakout & Mentoring Session 1

04:00 - Lunch Break

05:00 - Hacking

09:00 - Group Exercise

With Leo Celi

10:00 - Dinner Break

14:00 - End of Day 1

Advisory Chair

Organising Chair

Contact:

Organised By:

Supported By: