Sunghyo An on Muck Rack

Sunghyo An

As seen in: Nature
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Sunghyo

Contact Sunghyo, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Intraoperative video-based artificial intelligence model exceeding surgeon accuracy for predicting severe fibrosis in minimally invasive liver surgery

|
By Namkee Oh, Bogeun Kim, Eunjin Lee, Jinsoo Rhu, Jongman Kim, Inwoo Hwang, Myung Jin Chung, Gyu-Seong Choi, Sunghyo An, Hayeon Do, Jiyoung Baik, Suk Min Gwon, Hakje Yoo
| Nature
Abstract Accurate evaluation of liver fibrosis is essential for surgical planning in patients with hepatocellular carcinoma (HCC), as advanced fibrosis or cirrhosis can significantly alter resection strategy and postoperative outcomes. However, preoperative assessments using blood-based indices or imaging often fail to accurately reflect the true degree of fibrosis observed intraoperatively.
Open in Who Shared Issue with article?
See all 1 articles

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Get in touch with Sunghyo

Contact Sunghyo, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack
 •  Privacy  •  Terms  •  Security and Legal  •   •   •   • 

© 2026 Muck Rack

SOC 2® Certified