Artificial intelligence in healthcare: review, ethics, trust challenges & future research directions

P Kumar, S Chauhan, LK Awasthi - Engineering Applications of Artificial …, 2023 - Elsevier
The use of artificial intelligence (AI) in medicine is beginning to alter current procedures in
prevention, diagnosis, treatment, amelioration, cure of disease and other physical and …

[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 …

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 …

Artificial intelligence and deep learning for upper gastrointestinal neoplasia

P Sharma, C Hassan - Gastroenterology, 2022 - Elsevier
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 …

The future of endoscopic navigation: a review of advanced endoscopic vision technology

Z Fu, Z Jin, C Zhang, Z He, Z Zha, C Hu, T Gan… - IEEE …, 2021 - ieeexplore.ieee.org
Minimally invasive medicine has become mainstream because of its crucial clinical
significance in providing a low risk of postoperative complications, limited blood loss, short …

An investigational approach for the prediction of gastric cancer using artificial intelligence techniques: a systematic review

P Bhardwaj, G Bhandari, Y Kumar, S Gupta - Archives of Computational …, 2022 - Springer
Gastric cancer is characterized by the growth of cancerous cells within the lining of the
stomach. Traditionally, this condition has been challenging to diagnose. However, today …

An emperor penguin optimizer application for medical diagnostics

L Jovanovic, M Zivkovic, M Antonijevic… - 2022 IEEE Zooming …, 2022 - ieeexplore.ieee.org
Extreme gradient boosting (XGBoost) is a broadly adopted machine learning approach often
applied to classification problems. It outperforms many contemporary methods with high …

Artificial intelligence in the diagnosis of upper gastrointestinal diseases

P Visaggi, N de Bortoli, B Barberio… - Journal of Clinical …, 2022 - journals.lww.com
Artificial intelligence (AI) has enormous potential to support clinical routine workflows and
therefore is gaining increasing popularity among medical professionals. In the field of …

Real-time use of artificial intelligence for diagnosing early gastric cancer by magnifying image-enhanced endoscopy: a multicenter diagnostic study (with videos)

X He, L Wu, Z Dong, D Gong, X Jiang, H Zhang… - Gastrointestinal …, 2022 - Elsevier
Background and Aims Endoscopy is a pivotal method for detecting early gastric cancer
(EGC). However, skill among endoscopists varies greatly. Here, we proposed a deep …

Identification of gastric cancer with convolutional neural networks: a systematic review

Y Zhao, B Hu, Y Wang, X Yin, Y Jiang, X Zhu - Multimedia Tools and …, 2022 - Springer
The identification of diseases is inseparable from artificial intelligence. As an important
branch of artificial intelligence, convolutional neural networks play an important role in the …