Bone & soft tissue
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No. 14 of 20
Getting Started with AI in Bone and Soft Tissue Pathology
A practical primer for the practising pathologist — what the technology actually does in bone & soft tissue, what to ask of it, and how to start safely.
Soft tissue and bone tumours comprise more than a hundred recognised entities, the great majority of them rare, many of them defined by specific genetic events, and collectively accounting for around 1% of adult malignancies. This is the hardest possible environment for supervised machine learning, which depends on seeing many examples of each class.
What the primer covers
- SectionThe rarity problem, stated plainly
- SectionWhere the evidence is strongest
- SectionThe task map
- SectionYour first 90 days
- SectionValidation specifics
- SectionFailure modes to anticipate
- SectionWhat to watch next
- SectionKey references
Who it is for
- Pathologists in bone & soft tissue meeting diagnostic AI for the first time
- Laboratory leads assessing vendor claims and planning validation
- Trainees who want the regulatory and methodological context, not marketing
Educational guidance, not clinical protocol or regulatory advice. Algorithm authorisations and validation requirements change — confirm the current position with your regulator and your own quality system.