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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
14,824 datasets
17 studies developing machine learning models to predict deep vein thrombosis in hospitalized patients were systematically reviewed. The pooled AUC of 10 validated models was 0.85, indicating good discrimination, but substantial heterogeneity was present. The review, authored by An Liu and published on figshare in 2026, assessed model quality, performance, and clinical applicability.
An Liu's systematic review and meta-analysis evaluates machine learning-based prediction models for deep vein thrombosis (DVT) in hospitalized patients. The review includes 17 studies, with 10 models meta-analyzed, and was last updated on 2026-05-26. It assesses methodological quality, predictive performance, and clinical applicability of these models.
A multicenter quality improvement study protocol outlines a bundled intervention to reduce antibiotic overuse in neonatal intensive care units. The study uses a before-and-after interrupted time series design across five NICUs in the Suqian region, collecting monthly aggregated data from 2025 to 2027. The protocol is authored by Bo Wang and is registered as a clinical trial (ChiCTR2600120301).
Essential study documents for a clinical trial protocol manuscript. The documents include an Informed Consent Form (ICF) and Patient Information Sheet (PIS). The protocol is authored by E Kestelyn from the University of Oxford.
90% of 951 hospitalized COVID-19 patients in rural Central India received empirical antibiotics, with 46% receiving two agents. This retrospective observational study from March 2020 to December 2021 analyzed prescribing patterns using WHO ATC/DDD methodology and identified predictors like elevated C-reactive protein. The dataset was authored by Manju Purohit and shared under a CC-BY-4.0 license.
A PDF guideline document published by the NSW Government, last updated on 2026-06-25. It aims to build resilience for private health and residential care facilities during emergencies. The document provides a framework to ensure evacuation decisions are made only when there are clear indications to do so.
Emily P. Rabinovich's dataset contains intraoperative force measurements from nine consecutive robotic paraesophageal hernia repairs performed at a single academic center. Force data were collected from robotic instruments across four operative phases, with 832–2,297 measurements per phase. The study demonstrates the feasibility of quantifying tissue forces during surgery using integrated force-sensing technology on the da Vinci 5 platform.
An umbrella review of six systematic reviews and meta-analyses published between 2017 and 2026 on treatment strategies for idiopathic granulomatous mastitis. The dataset, created by Shuyu Yao and last updated in June 2026, includes assessments of remission, recurrence, and safety outcomes for medical, surgical, and combined therapies. It comprises 97 unique primary studies identified across the reviews.
Six systematic reviews and meta-analyses published between 2017 and 2026 were included in this umbrella review evaluating treatment strategies for idiopathic granulomatous mastitis. The dataset, created by Shuyu Yao and last updated in June 2026, aggregates findings on remission, recurrence, and safety from 97 unique primary studies. Steroid-based combination therapy showed the most consistent favorable signal for recurrence reduction across the included reviews.
An umbrella review of six systematic reviews and meta-analyses published between 2017 and 2026, evaluating medical and surgical treatments for idiopathic granulomatous mastitis. The document, authored by Shuyu Yao and published on figshare in 2026, synthesizes evidence on remission, recurrence, and safety outcomes from 97 unique primary studies. It assesses methodological quality using AMSTAR-2 and study overlap using the Corrected Covered Area metric.
A convergent mixed-methods study of pediatric healthcare professionals from four tertiary hospitals in China. The dataset includes quantitative survey data on attitudes, perceived benefits, risk perception, and training needs, integrated with qualitative thematic analysis. It was authored by Juan Wang and last updated on 2026-05-20.
A convergent mixed-methods study among pediatric healthcare professionals from four tertiary hospitals in China. Quantitative data from a validated questionnaire assessed attitudes, perceived benefits, risk perception, collaborative trust, training needs, and support for prescribing scope. The dataset includes integrated findings from quantitative analysis and qualitative thematic analysis of open-ended responses.
2,112 patient records from a pragmatic randomized controlled trial in Switzerland (2018–2021) testing a primary care physician intervention to increase colorectal cancer screening rates. The dataset, authored by Tamara Scharf and shared under a CC-BY-4.0 license, includes results from 63 physicians across nine quality circles, showing a significant increase in screening rates.
A supplementary dataset from a retrospective cohort study of 190 adult inflammatory bowel disease patients who died during ICU admission. It likely contains data on Acute Physiology Scores, sepsis status, and other clinical variables used to analyze their association. The dataset was created by Chenyang Li and last updated on 2026-06-03.
Chenyang Li published a dataset on 2026-06-03 containing results from a retrospective cohort study of 190 adult inflammatory bowel disease patients who died during ICU admission. The data, from the eICU-CRD database, includes analysis of the association between Acute Physiology Score and sepsis using weighted logistic regression and XGBoost. The file is 10.3 KB and is licensed under CC-BY-4.0.
A retrospective cohort study from the eICU-CRD database analyzes 190 adult inflammatory bowel disease patients who died during ICU admission. It examines the association between Acute Physiology Score (APS) and sepsis, finding APS independently associated with sepsis risk. The dataset was authored by Chenyang Li and last updated on 2026-06-03.
A dataset of 190 adult patients with inflammatory bowel disease who died during ICU admission, derived from the eICU-CRD database. The data was used to analyze the association between Acute Physiology Score (APS) and sepsis, employing weighted logistic regression and XGBoost. The dataset was created by Chenyang Li and last updated on 2026-06-03.
96 Parkinson's disease patients undergoing deep brain stimulation surgery were studied from January 2022 to June 2025. The dataset likely contains clinical outcomes comparing routine nursing care to an enhanced 6S refined individualized nursing model. Yunhui Luo authored this retrospective cohort study, which found the 6S model was associated with faster recovery, lower complication rates, and higher patient satisfaction.
96 patients with Parkinson's disease undergoing deep brain stimulation from January 2022 to June 2025. This single-center retrospective cohort study compares outcomes between patients receiving routine perioperative nursing and those receiving additional 6S refined individualized nursing management. The dataset was authored by Yunhui Luo and shared under a CC-BY-4.0 license.
Shujuan Huang's supplementary data from a prospective observational cohort study on post-stroke dysphagia, conducted from June 2024 to June 2025 at Guangdong Sanjiu Brain Hospital. The dataset includes results from 78 patients (33 intervention, 45 control) comparing standard swallowing rehabilitation with and without left-sided vagus nerve magnetic stimulation. It was last updated on June 3, 2026.