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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
12,876 datasets
417 X-ray point sources cataloged from Chandra observations of two flanking fields in the Orion Nebula region in 2002. The catalog includes X-ray luminosity, optical and infrared photometry, and variability information for 91 variable sources. This table was created by NASA's HEASARC in February 2007 based on data from the CDS.
A 2003 XMM-Newton observation provided the data for this catalog of X-ray point sources in the starburst galaxy NGC 253. The HEASARC created this table in April 2009 based on published research, which includes spectral fits for the brightest 140 sources and an analysis of ~100 likely contaminating sources. The catalog compares luminosity estimation methods and assesses background contamination from foreground stars and background galaxies.
ROSAT's PSPC instrument catalog lists all sources detected by its Standard Analysis Software System in public, unfiltered, pointed datasets. The table includes source parameters like position and count rate, plus reliability flags set by data centers in the US, Germany, and the UK. This superset of the ROSPSPC table was last updated in August 2001 and is provided by NASA HEASARC.
A catalog of X-ray sources detected by the ROSAT satellite's High Resolution Imager (HRI), processed by the Standard Analysis Software System (SASS). The data table includes source parameters like position and count rate, along with reliability flags provided by international data centers. This database table was last updated in August 2001 and is maintained by NASA HEASARC.
A retrospective multicenter cohort study of 1,076 lung tumor patients who underwent uniportal video-assisted thoracoscopic surgery (U-VATS) across three Chinese hospitals. The dataset, authored by Hongde Jiang and last updated in April 2026, compares perioperative outcomes for three chest tube drainage strategies using propensity score matching.
A clinical trial dataset from a study evaluating a structured multidisciplinary care model for colorectal cancer patients undergoing chemotherapy. The dataset likely contains outcomes for 120 participants, measured at baseline and 3 months post-intervention, assessing gastrointestinal function, fatigue, resilience, self-efficacy, quality of life, adverse reactions, and medication adherence. The data was authored by Nan Zhang and uploaded to figshare on 2026-04-24.
Nan Zhang's dataset from a 2026 clinical trial (Identifier 2025-SR-0021) contains results evaluating a structured multidisciplinary care model for colorectal cancer patients undergoing chemotherapy. It includes outcomes for 120 patients measured at baseline and 3 months post-intervention, assessing gastrointestinal function, fatigue, resilience, self-efficacy, quality of life, adverse reactions, and medication adherence. The data is stored in a 15.9 KB DOCX file.
A 3-month clinical trial involving 120 colorectal cancer patients receiving chemotherapy, conducted by Nan Zhang and published in 2026. The dataset compares outcomes between a structured multidisciplinary care model and routine care, measuring quality of life, symptom burden, and treatment adherence. The data is stored in a DOCX file and shared under a CC-BY-4.0 license.
A 2020 registry of information assets from the Villavicencio Departmental Hospital in Colombia, as mandated by Law 1712 of 2014. The dataset includes details on information classification, responsible departments, legal foundations, and formats. It is published by www.datos.gov.co and was last updated in May 2026.
Patient-level data from 51,743 participants in the CDC NHANES database from 2001 to 2020, focusing on chronic kidney disease and dialysis. The dataset includes 1,509 CKD patients, with 173 having received dialysis, and a control group of 50,234 non-CKD patients. It was compiled and analyzed by figshare admin karger for a 2026 publication.
M 33, a Local Group galaxy, is the subject of this catalog containing 261 X-ray point sources detected by NASA's Chandra observatory across three observations. The data includes sources down to a flux limit of 3 x 10^-16 erg/s/cm^2 and covers an area of about 0.2 square degrees. This table was created by the NASA HEASARC in December 2005 based on research published by Grimm et al.
58 bytes of text data containing the 'To be, or not to be' soliloquy from Shakespeare's Hamlet. The dataset was authored by Yung-Jen Chen and last updated on figshare in April 2026. Its minimal size suggests it is a single, short text passage.
22.0 MB of supplementary TIFF files accompany a narrative review on orthodontic airway plate therapy for infants with Robin sequence. The review, authored by a figshare admin for Karger, describes biomechanical principles, clinical outcomes, and technological innovations in this non-surgical treatment. The material was last updated on April 24, 2026.
A dataset of patient records from West China Hospital, last updated on 2026-05-11. It includes demographic characteristics, laboratory variables, and clinical outcomes for a study on acute kidney injury reproducibility. The data was shared by author Yuliang Zhao under a CC-BY-4.0 license after patient identifiers were removed.
A 132.6 KB PDF document presenting findings from a multi-method empirical study on ethical and societal aspects of AI in radiology and oncology. The work was conducted within the EuCanImage project by author Mónica Cano Abadía and last updated on April 20, 2026. It is licensed under CC-BY-4.0 and available on figshare.
EuCanImage project findings on embedding ethics for trustworthy AI in radiology and oncology. The 147.0 KB PDF document presents results from a multi-method empirical study involving literature reviews, interviews, and workshops with developers and clinicians. Authored by Mónica Cano Abadía and last updated in April 2026, it explores the operationalization of ethical principles like explainability and fairness in clinical AI.
MedMisBench evaluates whether large language models preserve correct medical judgment when misleading context is introduced. The benchmark is built from five medical question-answering sources spanning standard medical reasoning, expert reasoning, patient-journey scenarios, and agentic biomedical capability. It was created by HongjianZhou and last updated on June 15, 2026.
Jinlei Wang developed and validated a machine learning prediction model for postoperative complications in patients with Chronic Otitis Media. The model was built using 21 Clinical Multi-omics indicators from 338 patients split into training (n=237) and validation (n=101) sets. The Random Forest model achieved an AUC of 0.885 in training and 0.853 in validation, with key predictors including history of diabetes, previous ear surgery, and cholesteatoma presence.
A 2026 case report by Wenhao Wang details a patient with situs inversus totalis and advanced lung squamous cell carcinoma. The report describes the patient's diagnosis, staging as cT3N2M0 (stage IIIB), treatment with three cycles of pembrolizumab, cisplatin, and paclitaxel, and subsequent surgical resection. It includes specific tumor measurements, PET-CT SUVmax values, and pathological staging results before and after therapy.
Supplementary Material for 'The utility of Speech and Language analytics for screening Alzheimer's Disease' is a 25.7 KB DOCX file published on figshare under CC-BY-4.0 license. The document, last updated in April 2026, synthesizes evidence on acoustic, prosodic, lexical, semantic, and syntactic speech features associated with Alzheimer's disease and mild cognitive impairment.