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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,115 datasets
Zara Nadeem published a dataset on figshare in April 2026 detailing clinical manifestations of Listeria monocytogenes infection. The dataset is a 5.5 KB Excel file. Its specific row count and column details are not provided in the metadata.
63 patient records detailing demographic characteristics and comorbid conditions for individuals with listeriosis. The dataset was authored by Zara Nadeem and is available under a CC-BY-4.0 license. It was last updated on April 22, 2026.
A list of surgical procedure codes specific to strabismus surgeries. The dataset is a 5.5 KB Excel file authored by Saori Wada and last updated on April 22, -2026. It is shared under a CC-BY-4.0 license on the figshare platform.
A dataset on figshare authored by Chloe McDonald, last updated on April 22, 2026. It contains direct healthcare cost information for a specific cohort, comparing costs between a lookback period and an analysis period. The dataset is stored in an XLS file and is 17.5 KB in size.
13.5 KB of tabular data on healthcare resource utilization for a specific cohort. The dataset, authored by Chloe McDonald and last updated on 2026-04-22, tracks utilization during a lookback period and the first three months of follow-up. It is shared under a CC-BY-4.0 license on the figshare platform.
Subgroup analyses for the association of nicotine dependence and in-hospital mortality among critically-ill COVID-19 patients. The dataset is a 9.5 KB XLS file authored by John Garza and last updated on April 22, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
A dataset from figshare last updated on April 22, 2026, authored by John Garza. It examines the relative characteristics and outcomes of critically ill COVID-19 patients, partitioned by their nicotine dependence status. The dataset is stored in an XLS file and is 13.5 KB in size.
A dataset comparing length of stay, hospital charges, and complication rates between propensity score-matched robotic and non-robotic total knee arthroplasty (TKA) patients. The 5.5 KB XLS file was authored by David Maman and last updated on April 22, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
David Maman's 5.5 KB Excel file provides baseline demographics and comorbidities for patients undergoing robotic and non-robotic total knee arthroplasty (TKA). The dataset, last updated on April 22, 2026, is structured for comparing patient groups after propensity score matching.
A dataset comparing baseline patient characteristics for robotic and non-robotic total knee arthroplasty procedures. The data was authored by David Maman and last updated on April 22, 2026. It is a small dataset of 5.5 KB, stored in an XLS file format.
A regional retrospective cohort of patients from the endemic southern region of Argentina provides the data. This dataset contains deidentified individual patient data used for developing and evaluating a case-fatality risk assessment model for New World hantavirus infection. The data includes clinical, epidemiologic, laboratory, and radiologic predictors, an outcome variable, and risk scores, with a data dictionary and analysis code provided by author Fernando Tortosa via Harvard Dataverse.
Health Facilities Information System (HFIS) data on certifications for services and beds for Article 28, Article 36, Article 40, and Article 7 health care facilities and programs. The dataset is maintained by health.data.ny.gov and was last updated on April 3, 2026.
Records from the Chicago Department of Public Health detail aboveground and underground storage tank installations, removals, and specifications. This historical dataset consolidates information from permit applications and legacy databases, including the Department of Environment and pre-1992 Building Department records. Data collection ceased in 2020, with newer information available in separate systems.
Between 2010 and 2024, approximately 200,000 bedside chest radiographs were collected from around 50,000 intensive care patients at University Hospital Aachen, Germany. Trained radiologists provided structured reports assessing key findings such as cardiomegaly, pulmonary congestion, pleural effusion, pulmonary opacities, and atelectasis on an ordinal scale. The dataset is hosted by TLAIM on Hugging Face.
Five patient cases with non-thrombotic internal jugular vein stenosis were analyzed using computational fluid dynamics derived from CT venography. The study quantifies segment-specific hemodynamic patterns, including trans-stenotic pressure gradients and wall shear stress. It was authored by Hui Li and published in 2026.
Jimma Zone public hospitals in South West Ethiopia provided data on obstetric characteristics for 402 women in 2023. The dataset was authored by Ayanos Taye and published on figshare in April 2026. It is a small dataset, 9.5 KB in size, available as an XLS file.
402 survey records describe socio-demographic characteristics of women in Jimma Zone public hospitals, South West Ethiopia, in 2023. The dataset was authored by Ayanos Taye and published on figshare in April 2026. It is available as a 9.5 KB Excel file under a CC-BY-4.0 license.
Laboratory experimental data captures the effects of dissolved inorganic nitrogen (DIN) on four Atlantic scleractinian coral species over a six-month period. The National Oceanic and Atmospheric Administration conducted the study, exposing coral samples to five nitrate concentrations with four replicates each. Physiological metrics, including photosynthetic efficiency, growth, and tissue condition, were measured to establish dose-response relationships.
A merged and anonymized dataset from a two-phase study investigating a pharmacokinetic/pharmacodynamic model for Levothyroxine dosage after total thyroidectomy. Data includes patient demographics, laboratory results, and dosage information collected at multiple time points before and after surgery. The study was conducted from 2016 to 2019, with a pilot phase (2016-2017) for model development and a randomized controlled trial phase (2017-2019).
MedDialBench is a controlled factorial benchmark for evaluating large language model diagnostic robustness under parametric adversarial patient behaviors. It is an anonymous submission to the NeurIPS 2026 Datasets and Benchmarks Track, with a companion paper under double-blind review. The dataset was last updated on May 6, 2026.