We are excited to announce the new edition of the Shared Task on Clinical Text Generation at BioNLP 2024, which will be co-located with ACL 2024.
OVERVIEW
Task 1: Large-Scale Radiology Report Generation
We're introducing an exciting shared task: utilizing Natural Language Generation to transform X-ray images into clinical reports. This aims to alleviate radiologists' workload and enhance communication. Dive into our diverse datasets, including MIMIC-CXR, CheXpert, and more, totaling over 725,000 reports!
More information: https://stanford-aimi.github.io/RRG24/
Task 2: Discharge Me!
Join us in revolutionizing discharge documentation! We present "Discharge Me!" - a shared task aimed at streamlining discharge summaries to enhance patient care and reduce clinician burnout. Utilize the MIMIC-IV dataset to automate the "Brief Hospital Course" & "Discharge Instructions" sections.
More information: https://stanford-aimi.github.io/discharge-me/
All participants will be invited to write a paper describing their solution that will be included in the Proceedings of the 23rd Workshop on Biomedical Language Processing.
IMPORTANT DATES
First call for participation: February 5, 2024 (Monday)
Release of training, validation, and public test datasets: February 6, 2024 (Tuesday)
Release of hidden test dataset: April 12, 2024 (Friday)
System submission deadline: May 10, 2024 (Friday)
System papers due date: May 17, 2024 (Friday)
Notification of acceptance: June 17, 2024 (Monday)
Camera-ready system papers due: July 1, 2024 (Monday)
BioNLP Workshop Date: August 16, 2024 (Friday)
All deadlines are 11:59 PM ("Anywhere on Earth")
ORGANIZERS
JB Delbrouck, Stanford University
Zhihong Chen, Stanford University
Justin Xu, Stanford University
Maya Varma, Stanford University
Curtis Langlotz, Stanford University
MORE INFORMATION
https://aclweb.org/aclwiki/BioNLP_Workshop
https://stanford-aimi.github.io/discharge-me/
https://stanford-aimi.github.io/RRG24/