[HTML][HTML] Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction

D Nam, J Chapiro, V Paradis, TP Seraphin, JN Kather - Jhep Reports, 2022 - Elsevier
Clinical routine in hepatology involves the diagnosis and treatment of a wide spectrum of
metabolic, infectious, autoimmune and neoplastic diseases. Clinicians integrate qualitative …

Artificial intelligence in diagnostic and interventional radiology: where are we now?

T Boeken, J Feydy, A Lecler, P Soyer, A Feydy… - Diagnostic and …, 2023 - Elsevier
The emergence of massively parallel yet affordable computing devices has been a game
changer for research in the field of artificial intelligence (AI). In addition, dramatic investment …

A hybrid dipper throated optimization algorithm and particle swarm optimization (DTPSO) model for hepatocellular carcinoma (HCC) prediction

MY Shams, ESM El-Kenawy, A Ibrahim… - … Signal Processing and …, 2023 - Elsevier
Hepatocellular carcinoma (HCC) is a form of liver cancer that is widespread in Europe,
Africa, and Asia. The early identification of HCC is critical in improving the likelihood of …

Application of artificial intelligence for the diagnosis and treatment of liver diseases

JC Ahn, A Connell, DA Simonetto, C Hughes… - …, 2021 - Wiley Online Library
Modern medical care produces large volumes of multimodal patient data, which many
clinicians struggle to process and synthesize into actionable knowledge. In recent years …

[HTML][HTML] Artificial intelligence in gastroenterology: A state-of-the-art review

PT Kröner, MML Engels, BS Glicksberg… - World journal of …, 2021 - ncbi.nlm.nih.gov
The development of artificial intelligence (AI) has increased dramatically in the last 20 years,
with clinical applications progressively being explored for most of the medical specialties …

HLA‐B* 35: 01 and green tea–induced liver injury

JH Hoofnagle, HL Bonkovsky, EJ Phillips, YJ Li… - Hepatology, 2021 - journals.lww.com
Modern medical care produces large volumes of multimodal patient data, which many
clinicians struggle to process and synthesize into actionable knowledge. In recent years …

Artificial intelligence, augmented reality, and virtual reality advances and applications in interventional radiology

E von Ende, S Ryan, MA Crain, MS Makary - Diagnostics, 2023 - mdpi.com
Artificial intelligence (AI) uses computer algorithms to process and interpret data as well as
perform tasks, while continuously redefining itself. Machine learning, a subset of AI, is based …

Artificial intelligence: a review of current applications in hepatocellular carcinoma imaging

A Pellat, M Barat, R Coriat, P Soyer, A Dohan - … and Interventional Imaging, 2023 - Elsevier
Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer and
currently the third-leading cause of cancer-related death worldwide. Recently, artificial …

The role of artificial intelligence in the detection and implementation of biomarkers for hepatocellular carcinoma: outlook and opportunities

A Mansur, A Vrionis, JP Charles, K Hancel… - Cancers, 2023 - mdpi.com
Simple Summary Liver cancer is a major health problem worldwide, and its early detection
and management are imperative for improving patient outcomes. Biomarkers have great …

Embolotherapeutic strategies for hepatocellular carcinoma: 2020 update

SA Kishore, R Bajwa, DC Madoff - Cancers, 2020 - mdpi.com
Hepatocellular carcinoma (HCC) represents a significant contributor to cancer-related
morbidity and mortality with increasing incidence in both developing and developed …