AIMC Topic: Medical Oncology
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Enhancing neuro-oncology care through equity-driven applications of artificial intelligence.
Neuro-oncology
Nov 4, 2024
The disease course and clinical outcome for brain tumor patients depend not only on the molecular and histological features of the tumor but also on the patient's demographics and social determinants of health. While current investigations in neuro-o...
Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 2: recommendations for standardisation, validation, and good clinical practice.
The Lancet. Oncology
Nov 1, 2024
Technological advancements have enabled the extended investigation, development, and application of computational approaches in various domains, including health care. A burgeoning number of diagnostic, predictive, prognostic, and monitoring biomarke...
Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancements.
The Lancet. Oncology
Nov 1, 2024
The development, application, and benchmarking of artificial intelligence (AI) tools to improve diagnosis, prognostication, and therapy in neuro-oncology are increasing at a rapid pace. This Policy Review provides an overview and critical assessment ...
Artificial intelligence enhances the management of esophageal squamous cell carcinoma in the precision oncology era.
World journal of gastroenterology
Oct 21, 2024
Esophageal squamous cell carcinoma (ESCC) is the most common histological type of esophageal cancer with a poor prognosis. Early diagnosis and prognosis assessment are crucial for improving the survival rate of ESCC patients. With the advancement of ...
A comprehensive review of machine learning techniques for multi-omics data integration: challenges and applications in precision oncology.
Briefings in functional genomics
Sep 27, 2024
Multi-omics data play a crucial role in precision medicine, mainly to understand the diverse biological interaction between different omics. Machine learning approaches have been extensively employed in this context over the years. This review aims t...
Validation of Non-Small Cell Lung Cancer Clinical Insights Using a Generalized Oncology Natural Language Processing Model.
JCO clinical cancer informatics
Sep 1, 2024
PURPOSE: Limited studies have used natural language processing (NLP) in the context of non-small cell lung cancer (NSCLC). This study aimed to validate the application of an NLP model to an NSCLC cohort by extracting NSCLC concepts from free-text med...
Contextualising legal and ethical conundrums of artificial intelligence in oncology.
The Lancet. Oncology
Sep 1, 2024
Using Retrieval-Augmented Generation to Capture Molecularly-Driven Treatment Relationships for Precision Oncology.
Studies in health technology and informatics
Aug 22, 2024
Modern generative artificial intelligence techniques like retrieval-augmented generation (RAG) may be applied in support of precision oncology treatment discussions. Experts routinely review published literature for evidence and recommendations of tr...
Improving the Quality of Unstructured Cancer Data Using Large Language Models: A German Oncological Case Study.
Studies in health technology and informatics
Aug 22, 2024
With cancer being a leading cause of death globally, epidemiological and clinical cancer registration is paramount for enhancing oncological care and facilitating scientific research. However, the heterogeneous landscape of medical data presents sign...
Artificial Intelligence and Oncology.
Journal of the National Comprehensive Cancer Network : JNCCN
Jul 1, 2024
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