AI CT Scan Analysis
Use MyResultLab to view CT DICOM studies and understand report terms such as nodules, opacity, cysts, stones, stenosis and follow-up recommendations.
Load the DICOM folder or DICOMDIR and scroll through the slice stack.
Identify measurements, organ names, location and comparison language.
Use glossary links to understand what the report phrase usually means.
Choose the folder containing your CT DICOM files
MyResultLab provides educational explanations to help you understand scan and report terminology; medical decisions should still be made with a qualified clinician.
How AI CT Scan Analysis Works
From local DICOM review to a plain-language report, each step stays connected to the selected CT image series.
Open your CT files
Choose the CT DICOM folder and review the detected image series.
Select an image series
Choose the axial CT series that best matches the examination you want explained.
Add optional context
Add symptoms, exam reason, patient details, or the formal radiology report when available.
Receive a clear report
Get a patient-friendly explanation and focused questions to discuss with a qualified clinician.
How MyResultLab Helps You Understand CT
Review ordered CT slices, preserve useful viewing contrast, and receive a clearer explanation grounded in the selected series.
Ordered series review
Review the complete selected slice stack in its original anatomical order.
CT viewing contrast
Prepare model images with CT-specific contrast while keeping the browser preview patient-friendly.
Plain-language CT report
Organize image observations and CT terminology into language that is easier to understand.
Series-level analysis
Keep different reconstruction kernels, thicknesses, and contrast phases as separate series.
Local CT preview
Inspect detected CT image series in the browser before choosing what to upload.
Privacy and file control
Choose when to submit a series and delete processed images and reports from your account.
Supported CT exam areas
CT terminology and visible anatomy vary by body area, reconstruction settings, and contrast phase.
Chest CT
CTReview lung nodules, ground-glass opacity, effusion and airway terms.
Abdomen CT
CTUnderstand liver, kidney, gallbladder, pancreas and bowel wording.
Spine CT
CTClarify fracture, stenosis, disc and degenerative bone language.
CT angiography
CTGet context for vessel narrowing, plaque, aneurysm and contrast timing.
Ready to analyze your CT scan?
Choose your CT DICOM folder, review the detected series, and select the image series you want the AI to analyze.
Privacy and File Handling
The viewer prepares your scan locally first. Only the image series you select enters the upload and analysis flow.
Patient identity tags are not displayed in the image viewer.
The original DICOM files are processed but are not retained in cloud storage.
Processed images and generated reports can be managed from your account.
Files are not used for model training unless you explicitly allow it.
About the AI Models
MyResultLab uses Google MedGemma 1.5 for medical image understanding and GPT to organize the result into a plain-language report.
MedGemma reviews the prepared images from the selected CT series.
GPT structures the imaging observations into a patient-friendly explanation and suggested questions.
The output is informational and does not become a medical diagnosis.
Important Safety Information
Understand the limits of AI-generated CT explanations before using the report.
Related CT glossary topics
Continue with plain-language explanations of terms commonly found in chest, abdomen, and other CT reports.
CT scan analysis FAQ
Common questions about CT image series, AI limitations, privacy, and formal radiology review.
Is this a replacement for a radiologist?
No. It helps you understand the report and images, but it does not replace radiology interpretation or medical advice.
What is a CT DICOM file?
DICOM is the standard format imaging centers use to store CT images and related scan metadata. A CT examination usually contains multiple DICOM files or image instances that together form an ordered slice series, rather than one ordinary photo.
Why does one CT exam contain multiple image series?
A CT exam can include series reconstructed with different slice thicknesses, tissue settings, contrast phases or viewing purposes. Each series may emphasize different anatomy, so MyResultLab keeps them separate and analyzes only the series you select.
Can non-contrast and contrast-enhanced CT series be uploaded together?
They can be included in the same uploaded examination, but they remain separate image series. MyResultLab does not automatically merge or compare different contrast phases. Each AI report is generated from the selected series, so its phase and series description should be considered when reading the result.
Does MyResultLab keep my original DICOM files?
The original DICOM file is processed to create the model input and browser preview, but it is not retained in cloud storage. The processed images and analysis records remain available until they are deleted according to the service settings.
Can AI tell whether a lung nodule is cancer?
No. A nodule cannot be classified as cancer from this AI explanation alone. Assessment can require the full examination, prior scans, nodule size and appearance, clinical history, follow-up imaging or other tests reviewed by qualified clinicians.
Why do I still need the formal radiology report?
The formal report is produced by a qualified radiology professional who can review the complete examination and clinical context. MyResultLab is an informational aid and may miss findings or describe something incorrectly.
Why do CT reports compare with previous scans?
Comparison helps show whether a finding is new, growing, shrinking or stable. That change over time can matter more than a finding seen on one scan alone.
Looking to analyze an MRI instead?
MRI uses different image sequences and terminology for soft tissue, joints, the brain, and the spine.