AIMC Topic: Radiation Oncology
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Radiation oncology at crossroads: Rise of AI and managing the unexpected.
Journal of applied clinical medical physics
Feb 17, 2025
Integrating artificial intelligence (AI) into radiation oncology has revolutionized clinical workflows, enhancing efficiency, safety, and quality. However, this transformation comes with a price of increased complexity and the emergence of unpredicta...
Semiautomated Extraction of Research Topics and Trends From National Cancer Institute Funding in Radiological Sciences From 2000 to 2020.
International journal of radiation oncology, biology, physics
Jan 25, 2025
PURPOSE: Investigators and funding organizations desire knowledge on topics and trends in publicly funded research but current efforts for manual categorization have been limited in breadth and depth of understanding. We present a semiautomated analy...
Embracing the Future of Clinical Trials in Radiation Therapy: An NRG Oncology CIRO Technology Retreat Whitepaper on Pioneering Technologies and AI-Driven Solutions.
International journal of radiation oncology, biology, physics
Jan 22, 2025
This white paper examines the potential of pioneering technologies and artificial intelligence-driven solutions in advancing clinical trials involving radiation therapy. As the field of radiation therapy evolves, the integration of cutting-edge appro...
Artificial Intelligence, Machine Learning and Big Data in Radiation Oncology.
Hematology/oncology clinics of North America
Jan 7, 2025
This review explores the applications of artificial intelligence and machine learning (AI/ML) in radiation oncology, focusing on computer vision (CV) and natural language processing (NLP) techniques. We examined CV-based AI/ML in digital pathology an...
Evaluating ChatGPT's competency in radiation oncology: A comprehensive assessment across clinical scenarios.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Nov 19, 2024
PURPOSE: Artificial intelligence (AI) and machine learning present an opportunity to enhance clinical decision-making in radiation oncology. This study aims to evaluate the competency of ChatGPT, an AI language model, in interpreting clinical scenari...
Understanding and modeling human-AI interaction of artificial intelligence tool in radiation oncology clinic using deep neural network: a feasibility study using three year prospective data.
Physics in medicine and biology
Nov 14, 2024
Artificial intelligence (AI) based treatment planning tools are being implemented in clinic. However, human interactions with such AI tools are rarely analyzed. This study aims to comprehend human planner's interaction with the AI planning tool and i...
A bibliometrics analysis based on the application of artificial intelligence in the field of radiotherapy from 2003 to 2023.
Radiation oncology (London, England)
Nov 11, 2024
BACKGROUND: Recent research has demonstrated that the use of artificial intelligence (AI) in radiotherapy (RT) has significantly streamlined the process for physicians to treat patients with tumors; however, bibliometric studies examining the correla...
Artificial intelligence and radiotherapy: Evolution or revolution?
Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique
Oct 15, 2024
The integration of artificial intelligence, particularly deep learning algorithms, into radiotherapy represents a transformative shift in the field, enhancing accuracy, efficiency, and personalized care. This paper explores the multifaceted impact of...
Artificial intelligence for response prediction and personalisation in radiation oncology.
Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]
Aug 30, 2024
Artificial intelligence (AI) systems may personalise radiotherapy by assessing complex and multifaceted patient data and predicting tumour and normal tissue responses to radiotherapy. Here we describe three distinct generations of AI systems, namely ...
The Role of Artificial Intelligence on Tumor Boards: Perspectives from Surgeons, Medical Oncologists and Radiation Oncologists.
Current oncology (Toronto, Ont.)
Aug 27, 2024
The integration of multidisciplinary tumor boards (MTBs) is fundamental in delivering state-of-the-art cancer treatment, facilitating collaborative diagnosis and management by a diverse team of specialists. Despite the clear benefits in personalized ...
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