Application of artificial intelligence for the diagnosis and treatment of liver diseases
Modern medical care produces large volumes of multimodal patient data, which many
clinicians struggle to process and synthesize into actionable knowledge. In recent years …
clinicians struggle to process and synthesize into actionable knowledge. In recent years …
Machine learning based liver disease diagnosis: A systematic review
The computer-based approach is required for the non-invasive detection of chronic liver
diseases that are asymptomatic, progressive, and potentially fatal in nature. In this study, we …
diseases that are asymptomatic, progressive, and potentially fatal in nature. In this study, we …
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 …
clinicians struggle to process and synthesize into actionable knowledge. In recent years …
[HTML][HTML] Comparison of various approaches to combine logistic regression with genetic algorithms in survival prediction of hepatocellular carcinoma
Hepatocellular carcinoma (HCC) is the most common liver cancer in adults. Many different
factors make it difficult to diagnose in humans.. In this paper, a novel diagnostics approach …
factors make it difficult to diagnose in humans.. In this paper, a novel diagnostics approach …
Automated detection and delineation of hepatocellular carcinoma on multiphasic contrast-enhanced MRI using deep learning
Abstract Purpose Liver Imaging Reporting and Data System (LI-RADS) uses multiphasic
contrast-enhanced imaging for hepatocellular carcinoma (HCC) diagnosis. The goal of this …
contrast-enhanced imaging for hepatocellular carcinoma (HCC) diagnosis. The goal of this …
[HTML][HTML] Artificial intelligence in gastroenterology and hepatology: Status and challenges
Abstract Originally proposed by John McCarthy in 1955, artificial intelligence (AI) has
achieved a breakthrough and revolutionized the processing methods of clinical medicine …
achieved a breakthrough and revolutionized the processing methods of clinical medicine …
Computer-aided diagnosis of liver lesions using CT images: A systematic review
PV Nayantara, S Kamath, KN Manjunath… - Computers in Biology …, 2020 - Elsevier
Background Medical image processing has a strong footprint in radio diagnosis for the
detection of diseases from the images. Several computer-aided systems were researched in …
detection of diseases from the images. Several computer-aided systems were researched in …
[HTML][HTML] Wavelet radiomics features from multiphase CT images for screening hepatocellular carcinoma: analysis and comparison
Early detection of liver malignancy based on medical image analysis plays a crucial role in
patient prognosis and personalized treatment. This task, however, is challenging due to …
patient prognosis and personalized treatment. This task, however, is challenging due to …
[HTML][HTML] Imaging diagnosis of hepatocellular carcinoma: a state-of-the-art review
G Candita, S Rossi, K Cwiklinska, SC Fanni, D Cioni… - Diagnostics, 2023 - mdpi.com
Hepatocellular carcinoma (HCC) remains not only a cause of a considerable part of
oncologic mortality, but also a diagnostic and therapeutic challenge for healthcare systems …
oncologic mortality, but also a diagnostic and therapeutic challenge for healthcare systems …
Multi-level GAN based enhanced CT scans for liver cancer diagnosis
Liver cancer diagnosis requires preprocessing of images with preserved structural details. In
this study, a multi-level generative adversarial network (GAN) is proposed to enhance …
this study, a multi-level generative adversarial network (GAN) is proposed to enhance …