AI-based histologic scoring enables automated and reproducible assessment of enrollment criteria and endpoints in NASH clinical trials

Clinical trials in nonalcoholic steatohepatitis (NASH) require histologic scoring for assessment of inclusion criteria and endpoints. However, guidelines for scoring key features have led to variability in interpretation, impacting clinical trial outcomes. We developed an artificial intelligence (AI...

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Detalles Bibliográficos
Autores principales: Iyer, Janani S., Pokkalla, Harsha, Biddle-Snead, Charles, Carrasco-Zevallos, Oscar, Lin, Mary, Shanis, Zahil, Le, Quang, Juyal, Dinkar, Pouryahya, Maryam, Pedawi, Aryan, Hoffman, Sara, Elliott, Hunter, Leidal, Kenneth, Myers, Robert P., Chung, Chuhan, Billin, Andrew N., Watkins, Timothy R., Resnick, Murray, Wack, Katy, Glickman, Jon, Burt, Alastair D., Loomba, Rohit, Sanyal, Arun J., Montalto, Michael C., Beck, Andrew H., Taylor-Weiner, Amaro, Wapinski, Ilan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168404/
https://www.ncbi.nlm.nih.gov/pubmed/37162870
http://dx.doi.org/10.1101/2023.04.20.23288534

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168404/
https://www.ncbi.nlm.nih.gov/pubmed/37162870
http://dx.doi.org/10.1101/2023.04.20.23288534

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