Medical Imaging Report Generation

This dataset provides paired medical imaging metadata and detailed radiology-style report texts, enabling the development and evaluation of AI models for automated report generation. Each record links imaging attributes, patient demographics, and structured report sections, making it ideal for natural language processing, computer vision, and clinical decision support research.

  • last updated 22 Jul 2025
  • by GoMask
The brief that made it

Training and benchmarking AI models for automated radiology report generation

Sample rows

preview · 8 of 200 rows · all 20 columns
report_idstringmodalitystringimage_widthintegerimage_viewstringstudy_idstringimage_idstringpatient_idstringbody_part_examinedstringacquisition_datetimedatetimeinstitution_namestringradiologist_idstringreport_datetimedatetimeimpression_sectionstringageintegersexstringimage_heightintegerimage_file_pathstringreport_textstringfindings_sectionstringdicom_series_uidstring
RPT-000001X-ray2048PASTUDY-0001IMG-0001PAT-0001Chest2023-07-12T10:24:00Metro General HospitalRAD-0012023-07-12T12:01:00Normal chest X-ray.52Male2048xray/chest/IMG-0001.dcmNo acute cardiopulmonary abnormality. Heart size is normal. Lungs are clear. No pleural effusion.Heart size within normal limits. Lungs are clear. No focal consolidation.1.2.826.0.1.3680043.2.1125.1.1.2023071201
RPT-000002X-ray2048LateralSTUDY-0001IMG-0002PAT-0001Chest2023-07-12T10:26:00Metro General HospitalRAD-0022023-07-12T12:05:00Normal lateral chest radiograph.52Male2048xray/chest/IMG-0002.dcmLateral chest view shows clear lung fields, no effusion or consolidation. Spine and heart are unremarkable.No abnormal opacity seen. Costophrenic angles are sharp.1.2.826.0.1.3680043.2.1125.1.1.2023071202
RPT-000003MRI256AxialSTUDY-0002IMG-0003PAT-0002Brain2022-11-04T15:15:00Riverbend Imaging CenterRAD-0032022-11-04T17:30:00Mild chronic ischemic changes.76Female256mri/brain/IMG-0003.dcmMRI brain shows mild age-related microvascular changes. No acute infarct or hemorrhage identified.No mass effect. Ventricles are normal in size.1.3.12.2.1107.5.2.19.45152.202211041515
RPT-000004MRI256CoronalSTUDY-0002IMG-0004PAT-0002Brain2022-11-04T15:18:00Riverbend Imaging CenterRAD-0032022-11-04T17:35:00Chronic microvascular disease.76Female256mri/brain/IMG-0004.dcmCoronal images confirm mild periventricular hyperintensities. No evidence of acute pathology.No abnormal enhancing lesion.1.3.12.2.1107.5.2.19.45152.202211041518
RPT-000005CT1024AxialSTUDY-0003IMG-0005PAT-0003Abdomen2024-01-21T09:41:00Westside Medical CenterRAD-0042024-01-21T10:20:00Normal abdominal CT.44Male1024ct/abdomen/IMG-0005.dcmCT abdomen demonstrates normal liver, spleen, pancreas, and kidneys. No acute intra-abdominal process.No free fluid or mass identified.1.2.826.0.1.3680043.2.1125.1.1.2024012101
RPT-000006CT1024CoronalSTUDY-0003IMG-0006PAT-0003Abdomen2024-01-21T09:44:00Westside Medical CenterRAD-0042024-01-21T10:23:00Unremarkable CT of the abdomen.44Male1024ct/abdomen/IMG-0006.dcmCoronal CT images of the abdomen reveal no evidence of obstruction or abnormal enhancement.Abdominal organs appear normal.1.2.826.0.1.3680043.2.1125.1.1.2024012102
RPT-000007Ultrasound256blankSTUDY-0004IMG-0007PAT-0004Pelvis2022-05-03T16:30:00St. Francis Women's ClinicRAD-0052022-05-03T17:00:00Normal pelvic ultrasound.37Female192ultrasound/pelvis/IMG-0007.jpgTransabdominal pelvic ultrasound shows normal uterus and ovaries. No free fluid.Endometrial thickness is normal.1.2.428.0.9.3680043.2.1125.1.1.2022050301
RPT-000008Mammography4096CCSTUDY-0005IMG-0008PAT-0005Breast2024-02-10T11:50:00Central Women's Imaging CenterRAD-0062024-02-10T13:01:00BIRADS 1: Negative.49Female3072mammography/breast/IMG-0008.dcmMammogram demonstrates dense breast parenchyma. No suspicious mass, calcification, or architectural distortion.No dominant mass seen.1.2.392.200036.9116.2.6.1.48.1215978120.164

What the 200 rows show

from the 200-row sample

Mammography modality stands out: mean image_width is 3,547, against 906.4 for the rest.

  • 750median image_width
  • 2sexes
  • 22body part examineds
  • 50median age
  • 850median image_height
Mean image_width by modality200 rows
02,0004,0001,674X-ray50 ro…1,703CT36 ro…271.4MRI28 ro…250.4Ultr…34 ro…277.3PET12 ro…3,547Mamm…17 ro…62.0Other23 ro…
image_width200 rows, in bands of 500
0501009712158516001102,5004,500image_width →

Median 750, from 32 to 4,096.

image_view135 rows with a value · 65 left blank
  1. Axial34
  2. PA23
  3. Coronal20
  4. Sagittal13
  5. Lateral11
  6. AP11
  7. CC9
  8. MLO8
  9. Oblique5
  10. Transverse1
20 columns by typefrom the column list below
  • string 15
  • integer 3
  • datetime 2

Columns

20 columns in three groups
blueprint · 20 columns
columntypedescriptionexample
Text 15 columns
report_idstringUnique identifier for each imaging-report pair.uniqueRPT-000001
study_idstringIdentifier for the imaging study (may group multiple images).STUDY-0001
image_idstringUnique identifier for the specific medical image.IMG-0001
patient_idstringAnonymized identifier for the patient associated with the image.optionalPAT-0001
modalitystringType of imaging modality used (e.g., X-ray, CT, MRI, Ultrasound).7 valuesX-ray
body_part_examinedstringBody region or organ system imaged (e.g., Chest, Abdomen, Brain).Chest
image_viewstringImaging view or projection (e.g., AP, PA, Lateral, Axial, Coronal, Sagittal).10 views · optionalPA
institution_namestringName or code of the medical institution where the image was acquired.optionalMetro General Hospital
radiologist_idstringAnonymized identifier for the reporting radiologist.optionalRAD-001
report_textstringFull narrative radiology report associated with the image.No acute cardiopulmonary …
findings_sectionstringExtracted 'Findings' section of the report, if available.optionalNo dominant mass seen.
impression_sectionstringExtracted 'Impression' or summary section of the report, if available.optionalNormal chest X-ray.
sexstringSex of the patient.Male · Female · Other · Unknown · optionalMale
dicom_series_uidstringDICOM Series Instance UID for linking to original DICOM metadata.optional1.2.826.0.1.3680043.2.112…
image_file_pathstringRelative or absolute path to the image file.xray/chest/IMG-0001.dcm
Numbers 3 columns
ageintegerAge of the patient at the time of imaging (in years).0 to 120 · optional52
image_heightintegerHeight of the image in pixels.1 or more · optional2048
image_widthintegerWidth of the image in pixels.1 or more · optional2048
Dates and times 2 columns
acquisition_datetimedatetimeDate and time when the image was acquired.optional2023-07-12T10:24:00
report_datetimedatetimeDate and time when the radiology report was created.optional2023-07-12T12:01:00

Use it for

  • median image w…750200 rowsmean image width by m…1.7kX-ray1.7kCT271.4MRI250.4Ultr…

    A healthcare dashboard

    Image_width by modality and a breakdown of image_view. Excel, Power BI or Tableau.

  • Why do the 17 Mammography rows have a mean image_width of 3,547?

    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 reports with study_id, image_id and patient_id to fill a screen in front of a buyer.

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This dataset200 rows20 columns
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blueprint · medical-imaging-report-generation

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 20 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
  • Map each case to structured imaging features
  • Generate free-text findings and impressions
  • Align reports with diagnosis codes
  • Include modality and anatomical site tags
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
medical-imaging-report-generation

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