Resources


Model Credentialed Access

Me-LLaMA: Foundation Large Language Models for Medical Applications

Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu, Fongci Lin, Xueqing Peng, Jimin Huang, Jeffrey Zhang, Vipina Keloth, Xinyu Zhou, Huan He, Lucila Ohno-Machado, Yonghui Wu, Hua Xu, Jiang Bian

Me-LLaMA is a family of large language models for medical applications trained using clinical text with LLaMA2 models as the base. We release model weights for the foundation models as well as the chat-enhanced models.

large language models

Published: June 5, 2024. Version: 1.0.0

Database Restricted Access

REFLACX: Reports and eye-tracking data for localization of abnormalities in chest x-rays

Ricardo Bigolin Lanfredi, Mingyuan Zhang, William Auffermann, Jessica Chan, Phuong-Anh Duong, Vivek Srikumar, Trafton Drew, Joyce Schroeder, Tolga Tasdizen

This dataset contains 3032 cases of eye-tracking data collected while five radiologists dictated reports for frontal chest x-rays, synchronized timestamped dictation transcription, and manual labels for validation of localization of abnormalities.

eye tracking radiology report reflacx fixations computer vision chest x-rays gaze radiology machine learning deep learning

Published: Sept. 27, 2021. Version: 1.0.0

Database Credentialed Access

Annotated Question-Answer Pairs for Clinical Notes in the MIMIC-III Database

Xiang Yue, Xinliang Frederick Zhang, Huan Sun

Annotated Question Answering Pairs for Clinical Notes in the MIMIC-III Database

clinical question answering clinical nlp clinical reading comprehension

Published: Jan. 15, 2021. Version: 1.0.0

Database Open Access

Brain Hemorrhage Extended (BHX): Bounding box extrapolation from thick to thin slice CT images

Eduardo Pontes Reis, Felipe Nascimento, Mateus Aranha, Fernando Mainetti Secol, Birajara Machado, Marcelo Felix, Anouk Stein, Edson Amaro

The first version of this dataset was made available in the forum of Kaggle competition 'RSNA Intracranial Hemorrhage Detection' (v1.0). Then minor corrections were implemented (v1.1).

hemorrhage intracranial

Published: July 29, 2020. Version: 1.1

Database Credentialed Access

MedNLI for Shared Task at ACL BioNLP 2019

Chaitanya Shivade

Data for the MedNLI Shared Task at the 2019 ACL BioNLP 2019 Workshop on Biomedical Language Processing

natural language inference recognizing textual entailment mimic

Published: Nov. 28, 2019. Version: 1.0.1

Database Credentialed Access

MIMIC-CXR-JPG - chest radiographs with structured labels

Alistair Johnson, Matthew Lungren, Yifan Peng, Zhiyong Lu, Roger Mark, Seth Berkowitz, Steven Horng

Chest x-rays in JPG format with structured labels derived from the associated radiology report.

computer vision radiology mimic deep learning chest x-ray

Published: March 12, 2024. Version: 2.1.0

Database Open Access

CogWear: Can we detect cognitive effort with consumer-grade wearables?

Michal K Grzeszczyk, Rosmary Blanco, Paulina Adamczyk, Maciej Kus, Sylwia Marek, Ryszard Pręcikowski, Aneta Lisowska

Physiological data captured in experimental condition by three wearable devices.

Published: March 31, 2023. Version: 1.0.0

Database Open Access

In-Gauge and En-Gage: Understanding Occupants' Behaviour, Engagement, Emotion, and Comfort Indoors with Heterogeneous Sensors and Wearables

Nan Gao, Max Marschall, Jane Burry, Simon Watkins, Flora Salim

The project aims to understand occupants’ behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables.

electrodermal activity heart rate physiological signals environmental sensing thermal comfort modelling occupant behaviour sensing emotion sensing human behavoural modelling smart building

Published: Feb. 13, 2023. Version: 1.0.0

Database Open Access

VitalDB, a high-fidelity multi-parameter vital signs database in surgical patients

Hyung-Chul Lee, Chul-Woo Jung

VitalDB, a high-fidelity multi-parameter vital signs database in surgical patients

waveform anesthesia vitaldb intraoperative biosignal ecg

Published: Sept. 21, 2022. Version: 1.0.0

Database Credentialed Access

MS-CXR: Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing

Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel Coelho de Castro, Anton Schwaighofer, Stephanie Hyland, Maria Teodora Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez Valle, Hoifung Poon, Ozan Oktay

MS-CXR is a new dataset containing 1162 Chest X-ray bounding box labels paired with radiology text descriptions, annotated and verified by two board-certified radiologists.

vision-language processing chest x-ray

Published: May 16, 2022. Version: 0.1