How to Price Your Time as a Physician Annotator
Setting your hourly rate as a doctor who annotates medical data: start from your clinical rate, add freelance costs, adjust for specialty and task, and know when to raise it.
GetData Team ·
Blog
Guides and insights on medical data, AI and research.
What Does a Medical Data Annotator Do? A Guide for Doctors
Medical AI learns from labels that clinicians add first. What annotation work involves, who can do it, how it is paid and how to get started.
GetData Team ·
MRI Sequence Selection for Brain Tumor Segmentation
Brain-tumour segmentation is multi-parametric. Which MRI sequences a model needs, and how to harmonise them across scanners.
GetData Team ·
Building Balanced CT Datasets for Oncology Research
Tumour findings are rare and imbalanced. How to design a CT cohort that trains a model to catch the cases that matter.
GetData Team ·
DICOM vs NIfTI: Choosing the Right Format for Your ML Pipeline
DICOM is the clinical source of truth; NIfTI is the research workhorse. When to use each, and the conversion pitfalls to avoid.
GetData Team ·
De-identification of Medical Imaging: A Step-by-Step Checklist
Removing PHI means cleaning both the DICOM header and the pixels. A practical checklist plus the HIPAA/GDPR baseline.
GetData Team ·
Chest X-ray Datasets for Medical AI: A Practical Buyer's Guide
Chest radiography is cheap and ubiquitous — and full of shortcut signals. Here is what to check before you train on a CXR dataset.
GetData Team ·
How to Source ECG Datasets for Arrhythmia Detection Models
What separates a training-ready 12-lead ECG cohort from a noisy one — labels, lead configuration, class balance and compliant sourcing.
GetData Team ·
De-identification of Medical Imaging, Explained
How patient data is removed from imaging studies, and what researchers should verify before training on them.
GetData Team ·
Best ECG Datasets for AI Research in 2026
A practical guide to sourcing high-quality, well-labelled 12-lead ECG datasets for machine-learning projects.
GetData Team ·