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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
14,877 datasets
Singapore healthcare professionals from two community hospitals participated in a validation study for the Extended Nordic Musculoskeletal Questionnaire. The dataset likely contains survey responses from 251 nurses and therapists collected between March and August 2024. Pamela E-Wei Gopal authored the study, which is available as a PDF document.
A retrospective cohort study and systematic review investigating the association between antibiotic prophylaxis and urinary tract infections in cancer patients undergoing percutaneous nephrostomy procedures. The study includes data from 734 procedures and a meta-analysis of 19 studies involving 4,606 patients. The research was authored by Jeferson Rodrigo Zanon and last updated in May 2026.
251 survey responses from nurses and therapists in Singapore collected between March and August 2024. The data validates the Extended Nordic Musculoskeletal Questionnaire for assessing work-related musculoskeletal disorders. The study was conducted by Pamela E-Wei Gopal following the COSMIN framework.
Claudia Varrella's systematic review analyzes 38 clinical studies on failure-to-rescue (FTR) in surgical practice published between 2019 and 2024. The review, last updated in May 2026, examines how FTR is used as a quality metric, its operationalization, and the geographic and subspecialty distribution of the evidence base. The dataset is a 906.1 KB DOCX file containing the review's supplementary materials.
Thirteen studies involving 979 patients were included in this systematic review and meta-analysis. The analysis, conducted by Ping Zhao and published on figshare in 2026, found that head-mounted VR devices delivering nature scenes significantly reduced pain scores compared to conventional care. The effect was most pronounced during acute procedural pain, such as postoperative chest drain removal.
Thirteen studies involving 979 patients were included in this systematic review and meta-analysis. The work evaluates the impact of virtual reality technology on pain levels and analgesic dosage in adult ICU patients, with literature published from January 2015 to February 2026. The dataset is a supplementary document authored by Ping Zhao, licensed under CC-BY-4.0 and last updated in May 2026.
A retrospective study of 137 parturients who received labor analgesia, aiming to develop a prediction model for analgesia efficacy. The dataset includes preoperative multidimensional indicators such as demographic data, clinical characteristics, and psychological assessments. The model was developed and validated by Biyao Wang, with results last updated in May 2026.
University of Minnesota research by Judith M. LaLonde examines the binding of adipocyte lipid-binding protein (ALBP) to arachidonic and oleic acids. The dataset includes thermodynamic parameters from isothermal titration calorimetry, such as dissociation constants (Kd) and enthalpy changes, and structural details from a 1.6 Å resolution crystal structure. These results provide a framework for understanding the molecular basis of protein-lipid interactions.
Sidney Zisook from the University of California San Diego authored a review on major depression and dysthymia in elderly patients. The text discusses clinical challenges like association with medical conditions, polypharmacy, and cognitive disturbances, and outlines treatment strategies including psychotherapy and pharmacotherapy. The dataset appears to be a textual resource derived from this academic paper.
Obstructive sleep apnea is estimated to affect between 2% and 14% of the population, with increasing prevalence in those older than 60 years. This text-based resource from paperswithcode, authored by Michael Semelka of Latrobe Regional Hospital, describes the disorder, its associated health conditions, predictive clinical features, and treatment modalities. The description covers screening questionnaires, diagnostic standards like nocturnal polysomnography, and first-line treatments including continuous positive airway pressure.
Cif (PA2934), a bacterial toxin from Pseudomonas aeruginosa, is the first example of a toxin that regulates a host deubiquitinating enzyme. The data describes how Cif reduces CFTR-mediated chloride secretion in airway cells, contributing to chronic lung infections in diseases like COPD and cystic fibrosis. This research was authored by Jennifer M. Bomberger of Dartmouth College.
38 healthy participants (22 females, 16 males, aged 24.8 +/- 3.6 years) underwent a three-session experiment involving instrumental conditioning, fear conditioning, and a Pavlovian-to-instrumental transfer task. The dataset contains electrocardiogram (ECG), pupil size (PSR), respiration, and skin conductance (SCR) measurements across all sessions. It was contributed by Yanxia Xia from the University of Zurich.
2007 statistics on ambulatory care visits to physician offices, hospital outpatient departments, and emergency departments in the United States. The data, compiled by Susan M. Schappert of the National Center for Health Statistics, estimates 1.2 billion visits and 2.7 billion drugs provided, prescribed, or continued.
117 million emergency department visits in the United States during 2007 are estimated from a national probability sample. The report, authored by Richard W Niska of the National Center for Health Statistics, presents statistics on hospital, patient, and visit characteristics. Data includes leading causes of injury, insurance coverage, and the use of electronic medical records.
Peripheral blood circMAN1A2 levels show preliminary diagnostic potential for gout with an AUC of 0.86. The dataset, authored by Wenyan Guo and last updated in 2026, integrates public transcriptomic mining from GEO dataset GSE178825 with targeted clinical validation. It includes data from 30 patients with acute gout flare, 30 individuals with hyperuricaemia, and 30 healthy controls.
78.7% accuracy and 76.9% macro-F1 scores were achieved on the ODIR-5K dataset in a 5-shot setting using a novel Adaptive Gating and Focal Debiasing (AGFD) method. The research by Stewart Muchuchuti, published in 2026, demonstrates improvements over hybrid-attention baselines, particularly for minority disease classes like Glaucoma and Cataract. The dataset likely contains performance metrics and analysis supporting the proposed few-shot learning model for automated retinal disease screening.
78.7% accuracy and 76.9% macro-F1 scores were achieved in the 5-shot setting by the proposed Adaptive Gating and Focal Debiasing (AGFD) model on the ODIR-5K dataset. The supplementary file, authored by Stewart Muchuchuti and last updated in May 2026, contains results demonstrating performance improvements, especially for minority disease classes like Glaucoma and Cataract. The 20.5 KB document is shared under a CC-BY-4.0 license on figshare.
A Spanish study of 399 patients with gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) developed a predictive model for malnutrition and sarcopenia. The model, built using LASSO regression on a 4:1 training-validation split, identified key predictive factors like tumor differentiation and functional difficulties. The dataset, authored by Maria Argente-Pla and last updated in 2026, includes a diagnostic nomogram based on the study results.
A Spanish study of 399 patients with gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) developed a predictive model for malnutrition and sarcopenia. The model, built using a LASSO approach on a 4:1 training-validation split, achieved external accuracies of 65.3% for malnutrition and 71.2% for sarcopenia. The dataset, authored by Maria Argente-Pla and last updated in May 2026, includes key predictive factors like tumor differentiation and patient-reported difficulties.
8,827 patients with sepsis and atrial fibrillation were analyzed from the MIMIC-IV database, with external validation in eICU-CRD. The retrospective cohort study by Fangchao Chen, last updated in May 2026, investigates the association between early aspirin exposure and mortality. Results show early aspirin exposure was associated with a lower 30-day all-cause mortality hazard ratio of 0.624 in the fully adjusted model.