[HTML][HTML] Endometriosis: part I. basic concept

PH Wang, ST Yang, WH Chang, CH Liu, FK Lee… - Taiwanese Journal of …, 2022 - Elsevier
Endometriosis, manifested by pain and infertility, is a chronic inflammatory disease,
associated with a large disability of daily living, causing a socio-economic diastrophic …

Radiological diagnosis of chronic liver disease and hepatocellular carcinoma: A review

S Singh, S Hoque, A Zekry, A Sowmya - Journal of Medical Systems, 2023 - Springer
Medical image analysis plays a pivotal role in the evaluation of diseases, including
screening, surveillance, diagnosis, and prognosis. Liver is one of the major organs …

To do one and to get more: Part I. Diabetes and bone

WL Lee, PH Wang, ST Yang, CH Liu… - Journal of the …, 2022 - journals.lww.com
Type 2 diabetes mellitus (T2DM), is a chronic metabolic disease, characterized by the
presence of hyperglycemia and insulin resistance. The key treatment strategies for T2DM …

Artificial intelligence for detecting and quantifying fatty liver in ultrasound images: A systematic review

FM Alshagathrh, MS Househ - Bioengineering, 2022 - mdpi.com
Background: Non-alcoholic Fatty Liver Disease (NAFLD) is growing more prevalent
worldwide. Although non-invasive diagnostic approaches such as conventional …

To do one and to get more: Part II. Diabetes and metabolic dysfunction-associated fatty liver diseases

WL Lee, PH Wang, ST Yang, CH Liu… - Journal of the …, 2022 - journals.lww.com
Type 2 diabetes mellitus (DM) is characterized by inability of faulty pancreatic β-cells to
secret a normal amount of insulin to maintain normal body consumption, and/or peripheral …

Recent advances in machine learning applied to ultrasound imaging

M Micucci, A Iula - Electronics, 2022 - mdpi.com
Machine learning (ML) methods are pervading an increasing number of fields of application
because of their capacity to effectively solve a wide variety of challenging problems. The …

Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005–2023)

H Zamanian, A Shalbaf, MR Zali, AR Khalaj… - Computer Methods and …, 2024 - Elsevier
Background and objectives Non-alcoholic fatty liver disease (NAFLD) is a common liver
disease with a rapidly growing incidence worldwide. For prognostication and therapeutic …

[HTML][HTML] Artificial intelligence in liver ultrasound

LL Cao, M Peng, X **e, GQ Chen… - World journal of …, 2022 - ncbi.nlm.nih.gov
Artificial intelligence (AI) is playing an increasingly important role in medicine, especially in
the field of medical imaging. It can be used to diagnose diseases and predict certain …

“Big Data” approaches for prevention of the metabolic syndrome

X Jiang, Z Yang, S Wang, S Deng - Frontiers in Genetics, 2022 - frontiersin.org
Metabolic syndrome (MetS) is characterized by the concurrence of multiple metabolic
disorders resulting in the increased risk of a variety of diseases related to disrupted …

Nonalcoholic fatty liver disease (NAFLD) detection and deep learning in a Chinese community-based population

Y Yang, J Liu, C Sun, Y Shi, JC Hsing, A Kamya… - European …, 2023 - Springer
Objectives We aimed to develop and validate a deep learning system (DLS) by using an
auxiliary section that extracts and outputs specific ultrasound diagnostic features to improve …