AIMC Topic: Radiation Oncology

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Comparative Evaluation of a Medical Large Language Model in Answering Real-World Radiation Oncology Questions: Multicenter Observational Study.

Journal of medical Internet research
BACKGROUND: Large language models (LLMs) hold promise for supporting clinical tasks, particularly in data-driven and technical disciplines such as radiation oncology. While prior evaluation studies have focused on examination-style settings for evalu...

Recent advances in applying machine learning to proton radiotherapy.

Biomedical physics & engineering express
.: In radiation oncology, precision and timeliness of both planning and treatment are paramount values of patient care. Machine learning has increasingly been applied to various aspects of photon radiotherapy to reduce manual error and improve the ef...

Repositioning Radiation Oncology at the centre of integrated oncology care: A manifesto of the European Society for Radiotherapy and Oncology (ESTRO).

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Modern oncology increasingly relies on integrated, multimodality care, yet radiation oncology remains undervalued in strategic frameworks despite its central therapeutic role. This ESTRO manifesto calls for a repositioning of radiation oncology as a ...

Contouring in transition: perceptions of AI-based autocontouring by radiation oncologists and medical physicists in German-speaking countries.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]
BACKGROUND: Artificial intelligence (AI)-based autocontouring software has the potential to revolutionize radiotherapy planning. In recent years, several AI-based autocontouring solutions with many advantages have emerged; however, their clinical use...

NRG Oncology Assessment of Artificial Intelligence for Automatic Treatment Planning in Radiation Therapy Clinical Trials: Present and Future.

International journal of radiation oncology, biology, physics
PURPOSE: Recent advances in artificial intelligence (AI) have showcased the potential of automatic treatment planning for clinical trials involving radiation therapy. This paper offers an overview of the current landscape of AI-based treatment planni...

Biomarkers in prostate cancer: current status and future directions in radiotherapy-statement from the Prostate Cancer Working Group of the German Society of Radiation Oncology (DEGRO).

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]
PURPOSE: Prostate cancer (PCa) is the most frequently diagnosed malignancy among men in Germany. Advances in diagnostics and treatment have transformed PCa into a chronic disease. Given the heterogeneity of PCa, there is a need for additional stratif...

Transforming the Landscape of Clinical Information Retrieval Using Generative Artificial Intelligence: An Application in Machine Fault Analysis.

Practical radiation oncology
In a radiation oncology clinic, machine downtime can be a serious burden to the entire department. This study investigates using increasingly popular generative artificial intelligence (AI) techniques to assist medical physicists in troubleshooting l...

Radiation oncology at crossroads: Rise of AI and managing the unexpected.

Journal of applied clinical medical physics
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
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
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...