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Outside the Lab Digital and computational pathology, Genetics and epigenetics, Precision medicine, Technology and innovation, Profession, Omics

Intelligent Pharma Partners

The true barrier to artificial intelligence (AI) in pathology is not the technology; it’s the business model. To get pathology AI into clinical laboratories, payers need to provide a value-based model that creates a viable business case.

We estimate the US anatomic pathology market for tissue image analysis, based on the current reimbursement model, to be about US$550 million (about $7–8 per test), even though it is unlikely that the Centers for Medicare and Medicaid Services is going to just add $550 million to their reimbursements. The problem is that the anatomic pathology market is segmented into subspecialties, which correspond to different tissue types, each with a list of different tests that typically correspond to different stains. Indeed, myriad “tissue–stain–clinical outcome”-specific tests each have their own little market segment that we estimate to be on average about $11 million, shared by multiple manufacturers.

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About the Author

Holger Lange and Cris Luengo

Holger Lange is Chief Technology Officer at Flagship Biosciences, Westminster, USA
Cris Luengo is Director of Image Analysis at Flagship Biosciences, Westminster, USA

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