Pojsakorn Danpanichkul: The Role of AI in Heptocellular Carcinoma Detection
Pojsakorn Danpanichkul shared a co-authored article with Janthakan Wongsuwan et. al, published on BMJ Journal:
“Hepatocellular carcinoma (HCC) remains a leading cause of cancer mortality globally, with early detection being critical to improving survival outcomes. Conventional ultrasound (US) has long served as a surveillance tool in patients at risk – but its sensitivity, particularly in early-stage disease, remains limited. Recent advances in artificial intelligence (AI), especially deep learning mechanisms, are being evaluated to bolster US-based surveillance protocols.
Emerging trends in AI for HCC surveillance, such as multimodal integration, explainable AI, and real-time diagnostics, offer promising advancements. These innovations have the potential to significantly improve the accuracy, efficiency, and clinical applicability of AI-driven HCC surveillance, ultimately contributing to enhanced patient outcomes.
This review highlights the transformative role of artificial intelligence, especially deep learning, in enhancing hepatocellular carcinoma detection through ultrasound-based surveillance, overcoming limitations of operator variability and low sensitivity for early-stage tumors.”
Title: Enhancing ultrasonographic detection of hepatocellular carcinoma with artificial intelligence: current applications, challenges and future directions
Authors: Janthakan Wongsuwan, Teeravut Tubtawee, Sitang Nirattisaikul, Pojsakorn Danpanichkul, Wisit Cheungpasitporn, Sitthichok Chaichulee, Apichat Kaewdech
Read the Full Article.
-
Challenging the Status Quo in Colorectal Cancer 2024
December 6-8, 2024
-
ESMO 2024 Congress
September 13-17, 2024
-
ASCO Annual Meeting
May 30 - June 4, 2024
-
Yvonne Award 2024
May 31, 2024
-
OncoThon 2024, Online
Feb. 15, 2024
-
Global Summit on War & Cancer 2023, Online
Dec. 14-16, 2023