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Medical & Clinical

Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology

12,212 datasets

Medical & Clinical

Meta-Analysis of Risk Factors for Hernia Repair Complications from 11 Studies

11 studies involving 97,428 patients were analyzed in a systematic review and meta-analysis. The work, authored by Ping Wei and last updated in June 2026, investigates patient-related risk factors for surgical site infection and recurrence after abdominal wall hernia repair. It calculates pooled odds ratios and prediction intervals for factors like diabetes, obesity, and ASA classification.

TextMeta AnalysisHealthcareRisk FactorsClinical ResearchHernia RepairSurgical Outcomes+1

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Medical & Clinical

Table 1_Comparative effectiveness of non-pharmacological interventions on health-related q

A systematic review and network meta-analysis of 19 randomized controlled trials involving 2,654 adult ICU patients. The study, authored by Wenhui Yu and last updated in May 2026, compares 12 non-pharmacological interventions for improving health-related quality of life. It follows a pre-registered protocol and includes data from multiple databases up to November 2024.

TextNetwork Meta AnalysisIntensive Care UnitHealth Related Quality Of LifeNon Pharmacological InterventionsHealthcareClinical Research+1

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Medical & Clinical

National Survey of Stroke Rehabilitation Services in Indonesia, 2023

81 survey responses from 24 of 38 Indonesian provinces describe sub-acute stroke rehabilitation service provision. The cross-sectional online survey, conducted from June to August 2023, was adapted from international examples and recruited a convenience sample of hospital and community health centre staff. Yudi Hardianto authored the dataset, which was last updated on June 4, 2026.

TabularAudioCross Sectional SurveyIndonesiaHealth ServicesHealthcareStroke Rehabilitation+1

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Medical & Clinical

Genomic Analysis of Acinetobacter baumannii in Beijing Veterinary Hospitals, 2020

Beijing veterinary hospitals provided 1,136 environmental samples collected from September to December 2020. Yu Song published this dataset on figshare, which contains genomic and epidemiological data on 64 Acinetobacter baumannii isolates recovered from those samples. It includes results from antimicrobial susceptibility testing, whole-genome sequencing, and environmental risk factor modeling.

TabularCSVHospital EnvironmentBenchmarkMicrobiologyHealthcareVeterinary MedicineAntimicrobial ResistanceGenomic Analysis+1

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Medical & Clinical

Data Sheet 2_Multicenter genomic analysis reveals environmental hotspots and near-clonal s

From September to December 2020, 1,136 environmental samples were collected across eight veterinary hospitals in Beijing, yielding 64 Acinetobacter baumannii isolates. The dataset includes genomic analysis results, antimicrobial susceptibility testing, and environmental risk factor assessments. It was created by Yu Song and is available under a CC-BY-4.0 license.

TabularCSVHospital EnvironmentBenchmarkMicrobiologyHealthcareVeterinary MedicineAntimicrobial ResistanceGenomic Analysis+1

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Medical & Clinical

Acinetobacter Baumannii Genomic Analysis from Veterinary Hospitals in Beijing

64 Acinetobacter baumannii isolates recovered from 1,136 environmental samples across eight veterinary hospitals in Beijing from September to December 2020. The dataset includes results from antimicrobial susceptibility testing and whole-genome sequencing, revealing environmental risk factors and genomic transmission patterns. It was authored by Yu Song and shared under a CC-BY-4.0 license.

TabularCSVHospital EnvironmentBenchmarkMicrobiologyHealthcareVeterinary MedicineAntimicrobial ResistanceGenomic Analysis+1

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Medical & Clinical

Migraine Clinical Presentation Data for Automated Aura Classification

A research dataset of 400 patient records used to develop a machine learning classifier for distinguishing migraine with aura from migraine without aura. The dataset includes 23 clinical features such as demographic, temporal, and symptom characteristics. It was created by Sungjoon Hong and last updated on June 4, 2026.

TabularTime SeriesMachine LearningMigraine ClassificationBenchmarkHealthcareMedical ResearchClinical Data+1

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Medical & Clinical

Prostate Cancer Radiomics Data for Surgical Decision Support

Fabian Tollens published a dataset on 2026-05-29 from a study of 249 patients undergoing radical prostatectomy. The data includes preoperative multiparametric MRI, clinical, laboratory, and pathological information used to build machine learning models for predicting surgical outcomes. The study reports model performance using area under the curve (AUC) metrics for predicting extracapsular extension, nerve-sparing approach decisions, and positive surgical margin risk.

MultimodalRadiomicsSurgical PlanningProstate CancerMedical ImagingHealthcareComputer VisionClinical Decision Support+1

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Medical & Clinical

Systematic Review of Wearable Technologies for Recovery Monitoring in Lung Cancer Surgery

Xiang Lin authored a systematic review titled 'Wearable technologies for perioperative recovery monitoring in lung cancer surgery: a systematic review of feasibility, recovery outcomes, and evidence certainty'. The review, registered in PROSPERO (CRD420261325339), analyzed eight reports from seven cohorts published between 1996 and 2026. It synthesizes evidence on the feasibility and outcomes of using wearable devices for monitoring patients undergoing lung cancer surgery.

TextSystematic ReviewWearable TechnologyLung Cancer SurgeryHealthcarePerioperative MonitoringClinical Feasibility+1

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Medical & Clinical

Clinical Predictors of BRCA1/2 Variants in High-Risk Breast Cancer Patients in China

From 2017 to 2021, this dataset includes 1,204 high-risk breast cancer patients from Zhejiang Cancer Hospital in eastern China. It contains clinical data used to develop a model predicting BRCA1/2 pathogenic variant carrier status, with 102 (8.5%) patients testing positive. The dataset was authored by Wei Gu and published under a CC-BY-4.0 license.

Tabular🇨🇳 ChinaHigh Risk CohortClinical PredictorsHealthcareBreast cancerLarge ScaleBrca Variants+1

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Medical & Clinical

Clinical Predictors of BRCA1/2 Variants in High-Risk Breast Cancer Patients in China

102 BRCA1/2 pathogenic variants were identified in a cohort of 1,204 high-risk breast cancer patients from Zhejiang Cancer Hospital between 2017 and 2021. Wei Gu developed a multivariable logistic regression model using clinical predictors like histology, molecular subtype, age, and family history. The model achieved an AUC of 0.758 and was validated internally with 500 bootstrap resamples.

Tabular🇨🇳 ChinaHigh Risk CohortClinical PredictorsHealthcareBreast cancerLarge ScaleBrca Variants+1

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Medical & Clinical

Clinical Predictors of BRCA1/2 Variants in High-Risk Chinese Breast Cancer Patients

A clinical dataset of 1,204 high-risk breast cancer patients from Zhejiang Cancer Hospital in eastern China, collected between 2017 and 2021. It was created by Wei Gu to develop a prediction model for germline BRCA1/2 pathogenic or likely pathogenic (P/LP) variant carrier status. The dataset includes clinical predictors such as histology, molecular subtype, age, and family history.

Tabular🇨🇳 ChinaHigh Risk CohortClinical PredictorsHealthcareBreast cancerLarge ScaleBrca Variants+1

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Medical & Clinical

Data Sheet 4_Clinical predictors of BRCA1/2 P/LP variants for high-risk breast cancer pati

From 2017 to 2021, this dataset contains clinical data from 1,204 high-risk breast cancer patients at Zhejiang Cancer Hospital in eastern China. It was created by Wei Gu to develop a model predicting BRCA1/2 pathogenic variant carrier status based on histology, molecular subtype, age, and family history. The model achieved an AUC of 0.758 and was validated with 500 bootstrap resamples.

TabularClinical PredictorsHealthcareBreast cancerLarge ScaleGenetic RiskBrca VariantsChina Cohort+1

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Medical & Clinical

Data Sheet 2_Clinical predictors of BRCA1/2 P/LP variants for high-risk breast cancer pati

102 BRCA1/2 pathogenic variants were identified in a cohort of 1,204 high-risk breast cancer patients from Zhejiang Cancer Hospital between 2017 and 2021. The dataset underpins a multivariable logistic regression model incorporating histology, molecular subtype, age, and family history. Wei Gu published the model, which achieved an AUC of 0.758, to support clinical decision-making for genetic testing in China.

TabularClinical PredictorsHealthcareBreast cancerLarge ScaleGenetic RiskBrca VariantsChina Cohort+1

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Medical & Clinical

Case Series: Surgeon-Guided CTV Reassessment for Postoperative Chylothorax Radiotherapy

A retrospective case series of eight patients with persistent postoperative chylothorax treated with low-dose radiotherapy at a single institution from January 2019 to July 2022. The data includes surgeon-guided reassessments of clinical target volumes and comparisons with delivered radiotherapy isodose distributions to explore factors associated with treatment outcomes. The dataset was authored by Mu-Chou Lin and is available under a CC-BY-4.0 license.

TextClinical Target VolumeBenchmarkHealthcareRadiotherapyMedical Case SeriesSurgical OutcomesPostoperative Chylothorax+1

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Medical & Clinical

Differential Diagnosis of Testicular Cancers with Enhanced CT Features, 2012-2024

Zhixu Zhang's retrospective study compares 15 cases of testicular embryonal rhabdomyosarcoma (ERMS) and 30 cases of testicular seminoma using enhanced CT features and laboratory indicators. The dataset includes CT attenuation measurements across non-enhanced, arterial, and venous phases, as well as patient age and tumor marker levels like AFP, LDH, and β-HCG. Data was collected from December 2012 to May 2024 and analyzed to identify diagnostic features, with results showing a model achieving an AUC of 0.961.

TabularMedical ImagingOncologyHealthcareTesticular CancerRadiologyClinical Study+1

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Medical & Clinical

Cardiac Surgery LLM Benchmark: Two-Phase Evaluation and Human-AI Collaboration

Marc Leon's dataset contains a two-phase evaluation of five large language models (O1, O3-mini-high, DeepSeek-R1, GPT-4, and Llama3-OpenBioLLM-70B) on 15 high-fidelity cardiac surgery scenarios. The data includes expert-curated reference answers and a 10-dimensional weighted evaluation framework, capturing model performance and shifts in surgeon ratings after seeing reference answers. The dataset is designed to assess LLM capabilities and human-AI collaboration in complex surgical decision-making.

TextTabularAudioExcelHuman Ai CollaborationBenchmarkLlm EvaluationHealthcareClinical ReasoningCardiac SurgerySynthetic+1

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Medical & Clinical

Blinded Two-Phase Evaluation of LLMs in Cardiac Surgery Scenarios

Marc Leon's dataset contains evaluation data from a study assessing large language model performance and human-AI collaboration in cardiac surgery. The dataset includes expert ratings from a blinded two-phase evaluation of five LLMs (O1, O3-mini-high, DeepSeek-R1, GPT-4, and Llama3-OpenBioLLM-70B) across 15 high-fidelity surgical scenarios. It supports analysis of model rankings, performance across 10 weighted evaluation dimensions, and shifts in expert judgment after reviewing reference answers.

TabularAudioExcelHuman Ai CollaborationBenchmarkHealthcareBlinded EvaluationClinical ReasoningCardiac SurgeryLarge Language ModelsSynthetic+1

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Medical & Clinical

Patient Cohort Characteristics for Delirium Classification from Video Features

109 video recordings from 50 participants (25 male, 25 female, median age 72) were collected between August 2020 and March 2022 at a tertiary academic center. Maanasa Mendu created this dataset to develop and validate an analytic framework for delirium classification using deep learning pose estimation. A support vector machine model achieved an average classification AUC ROC of 0.79.

TabularExcelVideo AnalysisDelirium ClassificationHealthcareMedical ResearchBehavioral FeaturesClinical Data+1

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Medical & Clinical

Baseline Characteristics for Esophageal Cancer Patients on Adjuvant Nivolumab

151 patients from three Dutch hospitals who received adjuvant nivolumab after surgery for esophageal or gastroesophageal junction cancer between September 2021 and October 2023. The dataset includes patient characteristics, treatment details, and imaging intervals, with primary outcomes of disease recurrence and disease-free survival. Disease-free survival was 89% at 4 months, declining to 75% at 12 months.

TabularExcelMedical ImagingOncologyBenchmarkHealthcareClinical TrialDisease Free SurvivalEsophageal Cancer+1

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