Machine learning and AI in cancer prognosis, prediction, and treatment selection: a critical approach

B Zhang, H Shi, H Wang - Journal of multidisciplinary healthcare, 2023 - Taylor & Francis
Cancer is a leading cause of morbidity and mortality worldwide. While progress has been
made in the diagnosis, prognosis, and treatment of cancer patients, individualized and data …

Mapping research strands of ethics of artificial intelligence in healthcare: a bibliometric and content analysis

T Saheb, T Saheb, DO Carpenter - Computers in Biology and Medicine, 2021 - Elsevier
The growth of artificial intelligence in promoting healthcare is rapidly progressing.
Notwithstanding its promising nature, however, AI in healthcare embodies certain ethical …

Artificial intelligence in endoscopic ultrasound for pancreatic cancer: where are we now and what does the future entail?

DS Dahiya, M Al-Haddad, S Chandan… - Journal of clinical …, 2022 - mdpi.com
Pancreatic cancer is a highly lethal disease associated with significant morbidity and
mortality. In the United States (US), the overall 5-year relative survival rate for pancreatic …

Applications of artificial intelligence based on medical imaging in glioma: Current state and future challenges

J Xu, Y Meng, K Qiu, W Topatana, S Li, C Wei… - Frontiers in …, 2022 - frontiersin.org
Glioma is one of the most fatal primary brain tumors, and it is well-known for its difficulty in
diagnosis and management. Medical imaging techniques such as magnetic resonance …

Artificial Intelligence-Based Opportunities in Liver Pathology—A Systematic Review

P Allaume, N Rabilloud, B Turlin, E Bardou-Jacquet… - Diagnostics, 2023 - mdpi.com
Background: Artificial Intelligence (AI)-based Deep Neural Networks (DNNs) can handle a
wide range of applications in image analysis, ranging from automated segmentation to …

Artificial Intelligence in Liver Diseases: Recent Advances

F Lu, Y Meng, X Song, X Li, Z Liu, C Gu, X Zheng… - Advances in …, 2024 - Springer
Liver diseases cause a significant burden on public health worldwide. In spite of great
advances during recent years, there are still many challenges in the diagnosis and treatment …

[HTML][HTML] Embracing the future of physician-patient communication: GPT-4 in gastroenterology

AJ Nashwan, AA Abujaber, H Choudry - Gastroenterology & Endoscopy, 2023 - Elsevier
The integration of artificial intelligence (AI) into healthcare, particularly GPT-4, opens up
transformative opportunities for enhancing physician-patient communication, especially in …

Real-time automated diagnosis of colorectal cancer invasion depth using a deep learning model with multimodal data (with video)

Z Lu, Y Xu, L Yao, W Zhou, W Gong, G Yang… - Gastrointestinal …, 2022 - Elsevier
Background and Aims The optical diagnosis of colorectal cancer (CRC) invasion depth with
white light (WL) and image-enhanced endoscopy (IEE) remains challenging. We aimed to …

Operating Artificial Intelligence to Assist Physicians Diagnose Medical Images: A Narrative Review

O Adelaja, H Alkattan - Mesopotamian Journal of Artificial …, 2023 - mesopotamian.press
Medical image diagnostics is crucial to healthcare since it aids in the diagnosis and
treatment of a variety of diseases and conditions. However, the process is time-consuming …

Artificial Intelligence Applications in Healthcare

UA Usmani, A Happonen, J Watada… - International Congress on …, 2023 - Springer
The demand of healthcare services is rising, for eg, Europe and the US are experiencing
shortage of healthcare professionals. Artificial intelligence (AI) holds a promise to assist …