Working with clinical data
"The hardest part isn't the model — it's cleaning the data." We heard this in 4 separate interviews. Clinical data is noisy, anonymization is slow, and regulation keeps shifting.
Where are the jobs?
- Imaging AI: Mature in radiology and pathology.
- Clinical decision support: Systems that suggest, never decide for, the doctor.
- Operational AI: Patient flow, scheduling, resource planning.
What to learn first?
PyTorch and basic statistics are enough. Compliance topics like HIPAA/KVKK are learned on the job.