From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment
Machine learning (ML) is increasingly used in clinical oncology to diagnose cancers, predict
patient outcomes, and inform treatment planning. Here, we review recent applications of ML …
patient outcomes, and inform treatment planning. Here, we review recent applications of ML …
Deep learning in cancer pathology: a new generation of clinical biomarkers
Clinical workflows in oncology rely on predictive and prognostic molecular biomarkers.
However, the growing number of these complex biomarkers tends to increase the cost and …
However, the growing number of these complex biomarkers tends to increase the cost and …
[HTML][HTML] A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories
Pancreatic cancer is an aggressive disease that typically presents late with poor outcomes,
indicating a pronounced need for early detection. In this study, we applied artificial …
indicating a pronounced need for early detection. In this study, we applied artificial …
Efficacy of real-time computer-aided detection of colorectal neoplasia in a randomized trial
A Repici, M Badalamenti, R Maselli, L Correale… - Gastroenterology, 2020 - Elsevier
Background & Aims One-fourth of colorectal neoplasias are missed during screening
colonoscopies; these can develop into colorectal cancer (CRC). Deep learning systems …
colonoscopies; these can develop into colorectal cancer (CRC). Deep learning systems …
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 …
Real-time polyp detection, localization and segmentation in colonoscopy using deep learning
Computer-aided detection, localization, and segmentation methods can help improve
colonoscopy procedures. Even though many methods have been built to tackle automatic …
colonoscopy procedures. Even though many methods have been built to tackle automatic …
Applications of artificial intelligence in dentistry: A comprehensive review
F Carrillo‐Perez, OE Pecho, JC Morales… - Journal of Esthetic …, 2022 - Wiley Online Library
Objective To perform a comprehensive review of the use of artificial intelligence (AI) and
machine learning (ML) in dentistry, providing the community with a broad insight on the …
machine learning (ML) in dentistry, providing the community with a broad insight on the …
A comprehensive study on colorectal polyp segmentation with ResUNet++, conditional random field and test-time augmentation
Colonoscopy is considered the gold standard for detection of colorectal cancer and its
precursors. Existing examination methods are, however, hampered by high overall miss …
precursors. Existing examination methods are, however, hampered by high overall miss …
Artificial intelligence in colorectal cancer screening, diagnosis and treatment. A new era
A Mitsala, C Tsalikidis, M Pitiakoudis, C Simopoulos… - Current …, 2021 - mdpi.com
The development of artificial intelligence (AI) algorithms has permeated the medical field
with great success. The widespread use of AI technology in diagnosing and treating several …
with great success. The widespread use of AI technology in diagnosing and treating several …
Application of artificial intelligence technology in oncology: Towards the establishment of precision medicine
Simple Summary Artificial intelligence (AI) technology has been advancing rapidly in recent
years and is being implemented in society. The medical field is no exception, and the clinical …
years and is being implemented in society. The medical field is no exception, and the clinical …