Resources


Database Credentialed Access

PatientSim: A Persona-Driven Simulator for Realistic Doctor-Patient Interactions

Daeun Kyung, Hyunseung Chung, Seongsu Bae, et al.

PatientSim is a patient simulator that simulates realistic and diverse personas for clinical scenarios, enabling robust training and evaluation of doctor-patient interactions in multi-turn dialogues.

electronic health records multi-turn dialogue llm simulation doctor-patient consultation

Published: Oct. 18, 2025. Version: 1.0.0

Database Credentialed Access

EHR-DS-QA: A Synthetic QA Dataset Derived from Medical Discharge Summaries for Enhanced Medical Information Retrieval Systems

Konstantin Kotschenreuther

Dataset consisting of question and answer pairs synthetically generated from medical discharge summaries, designed to facilitate the training and development of large language models specifically tailored for healthcare applications

mimic-iv clinical question-answering medical discharge summaries large language models

Published: Jan. 11, 2024. Version: 1.0.0

Database Restricted Access

EchoNext: A Dataset for Detecting Echocardiogram-Confirmed Structural Heart Disease from ECGs

Pierre Elias, Joshua Finer

EchoNext is a curated dataset of electrocardiograms (ECGs) paired with echocardiogram-confirmed structural heart disease labels, designed to support the development and validation of machine learning models.

clinical decision support artificial intelligence digital health structural heart disease electrocardiogram health equity ecg heart failure transthoracic echocardiogram ai model deployment valvular heart disease cardiovascular screening ai in healthcare left ventricular dysfunction deep learning population health aortic stenosis machine learning

Published: April 30, 2026. Version: 1.1.1

Database Contributor Review

COVID Data for Shared Learning (CDSL): A comprehensive, multimodal COVID-19 dataset from HM Hospitales

Álvaro Ritoré, Andreea M Oprescu, Alberto Estirado Bronchalo, et al.

COVID Data for Shared Learning (CDSL) is a multimodal database comprising de-identified structured health data and radiological images from 4,479 patients with COVID-19, as a comprehensive toolkit for developing predictive models.

covid-19 multimodal database radiological images open data healthcare data machine learning and ai

Published: Oct. 25, 2024. Version: 1.0.0

Database Credentialed Access

Comprehensive Polysomnography (CPS) Dataset: A Resource for Sleep-Related Arousal Research

Stefan Kraft, Andreas Theissler, Vera Wienhausen-Wilke, et al.

This dataset includes polysomnographic sleep recordings from a study on sleep-related arousal diagnostics, featuring raw and derived data channels, annotated event types, and questionnaire data.

polysomnography machine learning in healthcare sleep arousal diagnostics pulse wave analysis sleep disorders

Published: Sept. 18, 2024. Version: 1.0.0