A systematic review of artificial intelligence techniques in cancer prediction and diagnosis
Artificial intelligence has aided in the advancement of healthcare research. The availability
of open-source healthcare statistics has prompted researchers to create applications that aid …
of open-source healthcare statistics has prompted researchers to create applications that aid …
A scoping review of transfer learning research on medical image analysis using ImageNet
Objective Employing transfer learning (TL) with convolutional neural networks (CNNs), well-
trained on non-medical ImageNet dataset, has shown promising results for medical image …
trained on non-medical ImageNet dataset, has shown promising results for medical image …
On evaluation metrics for medical applications of artificial intelligence
Clinicians and software developers need to understand how proposed machine learning
(ML) models could improve patient care. No single metric captures all the desirable …
(ML) models could improve patient care. No single metric captures all the desirable …
Convolutional neural networks for medical image analysis: state-of-the-art, comparisons, improvement and perspectives
Convolutional neural networks, are one of the most representative deep learning models.
CNNs were extensively used in many aspects of medical image analysis, allowing for great …
CNNs were extensively used in many aspects of medical image analysis, allowing for great …
Application of artificial intelligence to gastroenterology and hepatology
Since 2010, substantial progress has been made in artificial intelligence (AI) and its
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …
[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 …
Artificial intelligence in gastric cancer: a systematic review
P Jin, X Ji, W Kang, Y Li, H Liu, F Ma, S Ma… - Journal of cancer …, 2020 - Springer
Objective This study aims to systematically review the application of artificial intelligence (AI)
techniques in gastric cancer and to discuss the potential limitations and future directions of …
techniques in gastric cancer and to discuss the potential limitations and future directions of …
[HTML][HTML] Artificial intelligence in gastric cancer: Application and future perspectives
PH Niu, LL Zhao, HL Wu, DB Zhao… - World journal of …, 2020 - ncbi.nlm.nih.gov
Gastric cancer is the fourth leading cause of cancer-related mortality across the globe, with a
5-year survival rate of less than 40%. In recent years, several applications of artificial …
5-year survival rate of less than 40%. In recent years, several applications of artificial …
Artificial intelligence in endoscopy
Y Okagawa, S Abe, M Yamada, I Oda… - Digestive Diseases and …, 2022 - Springer
Artificial intelligence (AI) is rapidly developing in various medical fields, and there is an
increase in research performed in the field of gastrointestinal (GI) endoscopy. In particular …
increase in research performed in the field of gastrointestinal (GI) endoscopy. In particular …
Artificial intelligence and deep learning for upper gastrointestinal neoplasia
Upper gastrointestinal (GI) neoplasia account for 35% of GI cancers and 1.5 million cancer-
related deaths every year. Despite its efficacy in preventing cancer mortality, diagnostic …
related deaths every year. Despite its efficacy in preventing cancer mortality, diagnostic …