Patient Medical Imaging Metadata

This dataset provides comprehensive metadata for synthetic patient medical imaging studies, including detailed information about study types, findings, imaging devices, and patient demographics. It is designed to support machine learning applications in diagnostic imaging and healthcare workflow optimization, enabling robust analysis and model development.

  • last updated 20 Aug 2025
  • by GoMask
The brief that made it

Training machine learning models for automated diagnostic imaging

Sample rows

preview · 8 of 200 rows · all 21 columns
patient_idstringmodalitystringimage_countintegercontrast_usedbooleaninstitution_countrystringstudy_idstringstudy_datedatebody_part_examinedstringdiagnosisstringreferring_physicianstringdevice_idstringdevice_manufacturerstringdevice_modelstringimage_resolutionstringpatient_ageintegerpatient_sexstringinstitution_namestringinstitution_citystringinstitution_statestringfindings_summarystringstudy_descriptionstring
PAT-0001CT325trueUSASTUDY-20240115-012024-01-15ChestMild interstitial lung changesDr. J. SimmonsDEV-CT-101SiemensSomatom Drive512x51249MaleMetro General HospitalChicagoILMultislice CT scan of the chest reveals mild ground-glass opacities with contrast enhancement. No evidence of acute pulmonary embolism.High-resolution CT chest with intravenous contrast to assess for vascular and parenchymal abnormalities.
PAT-0002MRI112falseUSASTUDY-20240302-022024-03-02BrainEarly small vessel ischemic changesDr. A. LeeDEV-MRI-204GESigna Premier1024x102465FemaleNorthside Neurology CenterAtlantaGAMRI brain shows small non-enhancing white matter lesions, no acute infarct or mass. Mild age-related atrophy.Routine MRI brain protocol for evaluation of cognitive symptoms.
PAT-0003Ultrasound21falseUSASTUDY-20230521-032023-05-21AbdomenMild hepatic steatosisDr. R. PatelDEV-US-056PhilipsEPIQ 7640x48054FemaleCentral Imaging ClinicHoustonTXAbdominal ultrasound demonstrates mildly fatty liver, no focal lesions. Gallbladder and kidneys within normal limits.Standard abdominal ultrasound for routine liver function assessment.
PAT-0004X-ray3falseUSASTUDY-20240227-042024-02-27KneeEarly osteoarthritisDr. L. MorganDEV-XR-312CanonRadPRO2048x204843MaleDowntown Orthopedic CenterNew YorkNYX-ray of the right knee shows mild degenerative changes, no acute fracture or dislocation.Routine knee X-ray for assessment of joint pain.
PAT-0005PET56trueGermanySTUDY-20240405-052024-04-05Whole bodyLymphadenopathy, rule out malignancyDr. S. SchneiderDEV-PET-078SiemensBiograph Vision512x51272FemaleOncology Institute MunichMunichBavariaWhole body PET scan reveals increased uptake in left axillary lymph node. Contrast agent highlights metabolic activity.Whole body PET scan with contrast for oncologic staging.
PAT-0006Mammography4falseSwedenSTUDY-20230311-062023-03-11BreastNormal screening mammogramDr. B. JohanssonDEV-MG-009HologicSelenia Dimensions4096x409652FemaleStockholm Women's ClinicStockholmStockholmDigital mammography of bilateral breasts shows no suspicious masses or microcalcifications.Annual screening mammography for breast cancer prevention.
PAT-0007MRI78falseUSASTUDY-20240103-072024-01-03SpineLumbar disc bulgeDr. F. NguyenDEV-MRI-204GESigna Premier1024x102438MaleSt. Vincent Medical CenterLos AngelesCAMRI spine reveals disc bulge at L4-L5 without nerve compression. No vertebral fracture.MRI lumbar spine for evaluation of chronic lower back pain.
PAT-0008Ultrasound19falseItalySTUDY-20240316-082024-03-16PelvisRoutine gynecologic screeningDr. A. RossiDEV-US-056PhilipsEPIQ 7800x60034FemaleFlorence Women's HealthFlorenceTuscanyTransabdominal pelvic ultrasound demonstrates normal uterus and ovaries. No evidence of masses.Pelvic ultrasound for annual gynecologic assessment.

What the 200 rows show

from the 200-row sample

CT modality stands out: mean image_count is 302.6, against 39.7 for the rest.

  • 27%contrast_used = true
  • 22median image_count
  • 4patient sexes
  • 12body part examineds
  • 13image resolutions
  • 14device manufacturers
Mean image_count by modality200 rows
0200400302.6CT28 ro…104.0MRI45 ro…2.0X-ray32 ro…20.3Ultr…43 ro…59.3PET18 ro…4.0Mamm…11 ro…4.5Other23 ro…
image_count200 rows, in bands of 100
07515014628146420300600image_count →

Median 22, from 1 to 523.

institution_country200 rows · top 10 of 36 values
  1. USA25
  2. Germany16
  3. UK15
  4. China13
  5. Italy11
  6. Japan9
  7. Australia8
  8. Spain8
  9. Russia7
  10. India7
21 columns by typefrom the column list below
  • string 17
  • integer 2
  • date 1
  • boolean 1

Columns

21 columns in four groups
blueprint · 21 columns
columntypedescriptionexample
Text 17 columns
patient_idstringUnique identifier for the patient associated with the imaging studyPAT-0001
study_idstringUnique identifier for the imaging studyuniqueSTUDY-20240115-01
modalitystringType of imaging modality used (e.g., CT, MRI, X-ray, Ultrasound)7 valuesCT
body_part_examinedstringAnatomical region or body part examined in the imaging study12 examinedsChest
findings_summarystringSummary of key findings from the imaging studyoptionalMultislice CT scan of the…
diagnosisstringPrimary diagnosis or clinical impression based on the imaging studyoptionalMild hepatic steatosis
referring_physicianstringName or identifier of the physician who requested the imaging studyoptionalDr. J. Simmons
device_idstringUnique identifier for the imaging device usedDEV-CT-101
device_manufacturerstringManufacturer of the imaging deviceoptionalSiemens
device_modelstringModel name or number of the imaging deviceoptionalSomatom Drive
image_resolutionstringResolution of images (e.g., 512x512, 1024x1024)optional512x512
study_descriptionstringDetailed description of the imaging study protocol and purposeoptionalHigh-resolution CT chest …
patient_sexstringSex of the patientMale · Female · Other · Unknown · optionalMale
institution_namestringName of the medical institution where the study was performedoptionalMetro General Hospital
institution_citystringCity of the medical institutionoptionalChicago
institution_statestringState or province of the medical institutionoptionalIL
institution_countrystringCountry of the medical institutionoptionalUSA
Numbers 2 columns
image_countintegerNumber of images generated in the study1 or more325
patient_ageintegerAge of the patient at the time of the study0 to 120 · optional49
Dates and times 1 column
study_datedateDate when the imaging study was performed2024-01-15
True or false 1 column
contrast_usedbooleanIndicates whether contrast agent was used in the imaging studytrue

Use it for

  • contrast used27%53 of 200 rowsmean image count by m…302.6CT104.0MRI2.0X-ray20.3Ultr…

    A healthcare dashboard

    The contrast_used rate, image_count by modality and a breakdown of institution_country. Excel, Power BI or Tableau.

  • Why do the 28 CT rows have a mean image_count of 302.6?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable patients with study_id, study_date and modality to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 21 columns, your size and your rules. See 20 rows before you pay.

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1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset200 rows21 columns
Yours1,000 rows21 columnsinstitution_city: UK only

blueprint · patient-medical-imaging-metadata

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 21 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Include anonymized patient IDs
  • Imaging modality coded
  • Findings labeled by category
  • Device type and settings mapped
  • Simulate follow-up recommendations
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
patient-medical-imaging-metadata

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