Publications by authors named "Cristin E Taylor"
Article Synopsis
- Metabolic dysfunction-associated steatohepatitis (MASH) is a serious liver condition with limited treatment options and relies on manual biopsies for assessment, which often shows high variability among readers.
- A new artificial intelligence (AI) system, AIM-MASH, has been developed and validated across multiple sites to assist pathologists in scoring liver biopsies related to MASH, showing high reliability and consistency compared to traditional methods.
- AIM-MASH significantly improved the accuracy of assessing key factors like inflammation and MASH resolution when used by expert pathologists, suggesting it can reduce variability and enhance the evaluation of new treatments in MASH clinical trials.
J Pathol Clin Res
September 2024
Article Synopsis
- - The standard method for assessing metabolic dysfunction-associated steatosis in clinical trials is by evaluating liver biopsies on glass slides; however, shipping these slides poses logistical challenges and risks of damage.
- - This study found that using digital images on the AISight whole slide image management system for assessing steatohepatitis offers comparable accuracy to traditional glass slide evaluations, with both methods verified against a consensus score from expert pathologists.
- - The results showed that the agreement between digital scoring and the established "ground truth" was not inferior to that of glass scoring, indicating that digital assessments can reliably replace traditional methods in clinical trial settings for liver disease.
