1. Machine learning models are superior to noninvasive tests in identifying clinically significant stages of NAFLD and NAFLD‐related cirrhosis. Issue 2 (9th February 2023) Authors: Chang, Devon; Truong, Emily; Mena, Edward A.; Pacheco, Fabiana; Wong, Micaela; Guindi, Maha; Todo, Tsuyoshi T.; Noureddin, Nabil; Ayoub, Walid; Yang, Ju Dong; Kim, Irene K.; Kohli, Anita; Alkhouri, Naim; Harrison, Stephen; Noureddin, Mazen Journal: Hepatology Issue: Volume 77:Issue 2(2023) Page Start: 546 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Reply: Machine learning models for NAFLD/NASH and cirrhosis diagnosis and staging: accuracy and routine variables are the success keys. Issue 5 (3rd May 2023) Authors: Chang, Devon; Truong, Emily; Noureddin, Mazen Journal: Hepatology Issue: Volume 77:Issue 5(2023) Page Start: E105 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Nonalcoholic fatty liver disease prevalence and severity in Asian Americans from the national health and nutrition examination surveys 2017–2018. Issue 9 (9th May 2022) Authors: Truong, Emily; Yeo, Yee Hui; Cook‐Wiens, Galen; Muthiah, Mark; Yang, Ju Dong; Sundaram, Vinay; Chang, Devon; Todo, Tsuyoshi; Kim, Irene K.; Lu, Shelly C.; Setiawan, Veronica Wendy; Wong, Vincent W. S.; Harrison, Stephen A.; Alkhouri, Naim; Noureddin, Mazen Journal: Hepatology communications Issue: Volume 6:Issue 9(2022) Page Start: 2253 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗