Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Artificial intelligence can assist providers in a variety of patient care and intelligent health
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
[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 …
with clinical applications progressively being explored for most of the medical specialties …
Lung cancer risk prediction with machine learning models
The lungs are the center of breath control and ensure that every cell in the body receives
oxygen. At the same time, they filter the air to prevent the entry of useless substances and …
oxygen. At the same time, they filter the air to prevent the entry of useless substances and …
An artificial intelligence model to predict hepatocellular carcinoma risk in Korean and Caucasian patients with chronic hepatitis B
Background & Aims Several models have recently been developed to predict risk of
hepatocellular carcinoma (HCC) in patients with chronic hepatitis B (CHB). Our aims were to …
hepatocellular carcinoma (HCC) in patients with chronic hepatitis B (CHB). Our aims were to …
Artificial intelligence in gastroenterology and hepatology: how to advance clinical practice while ensuring health equity
E Uche-Anya, A Anyane-Yeboa, TM Berzin… - Gut, 2022 - gut.bmj.com
Artificial intelligence (AI) and machine learning (ML) systems are increasingly used in
medicine to improve clinical decision-making and healthcare delivery. In gastroenterology …
medicine to improve clinical decision-making and healthcare delivery. In gastroenterology …
Long-term mortality risk stratification of liver transplant recipients: real-time application of deep learning algorithms on longitudinal data
Background Survival of liver transplant recipients beyond 1 year since transplantation is
compromised by an increased risk of cancer, cardiovascular events, infection, and graft …
compromised by an increased risk of cancer, cardiovascular events, infection, and graft …
[PDF][PDF] AI in healthcare: revolutionizing diagnosis and therapy
Artificial Intelligence (AI) is revolutionizing healthcare through its integration into various
domains, significantly enhancing the efficiency, accuracy, and effectiveness of medical …
domains, significantly enhancing the efficiency, accuracy, and effectiveness of medical …
The link between gut microbiota and hepatic encephalopathy
Hepatic encephalopathy (HE) is a serious complication of cirrhosis that causes
neuropsychiatric problems, such as cognitive dysfunction and movement disorders. The link …
neuropsychiatric problems, such as cognitive dysfunction and movement disorders. The link …
Application of artificial intelligence in chronic liver diseases: a systematic review and meta-analysis
P Decharatanachart, R Chaiteerakij… - BMC …, 2021 - Springer
Background The gold standard for the diagnosis of liver fibrosis and nonalcoholic fatty liver
disease (NAFLD) is liver biopsy. Various noninvasive modalities, eg, ultrasonography …
disease (NAFLD) is liver biopsy. Various noninvasive modalities, eg, ultrasonography …
Application of artificial intelligence in medical technologies: a systematic review of main trends
Objective Artificial intelligence (AI) has been increasingly applied in various fields of science
and technology. In line with the current research, medicine involves an increasing number of …
and technology. In line with the current research, medicine involves an increasing number of …