AIMC Topic: Medical Oncology
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Concordance with SPIRIT-AI guidelines in reporting of randomized controlled trial protocols investigating artificial intelligence in oncology: a systematic review.
The oncologist
May 8, 2025
BACKGROUND: Artificial intelligence (AI) is a promising tool used in oncology that may be able to facilitate diagnosis, treatment planning, and patient management. Transparency and completeness of protocols of randomized controlled trials (RCT) invol...
Application of Generative Artificial Intelligence for Physician and Patient Oncology Letters-AI-OncLetters.
JCO clinical cancer informatics
May 1, 2025
PURPOSE: Although large language models (LLMs) are increasingly used in clinical practice, formal assessments of their quality, accuracy, and effectiveness in medical oncology remain limited. We aimed to evaluate the ability of ChatGPT, an LLM, to ge...
Development of a Synthetic Oncology Pathology Dataset for Large Language Model Evaluation in Medical Text Classification.
Studies in health technology and informatics
Apr 24, 2025
BACKGROUND: Large Language Models (LLMs) offer promising applications in oncology pathology report classification, improving efficiency, accuracy, and automation. However, the use of real patient data is restricted due to legal and ethical concerns, ...
Artificial Intelligence in Cancer Care: Addressing Challenges and Health Equity.
Oncology (Williston Park, N.Y.)
Apr 14, 2025
Overdiagnosis in cancer care remains a significant concern, often resulting in unnecessary physical, emotional, and financial burdens on patients. Artificial intelligence (AI) has the potential to address this challenge by enabling more accurate, per...
Medical accuracy of artificial intelligence chatbots in oncology: a scoping review.
The oncologist
Apr 4, 2025
BACKGROUND: Recent advances in large language models (LLM) have enabled human-like qualities of natural language competency. Applied to oncology, LLMs have been proposed to serve as an information resource and interpret vast amounts of data as a clin...
Applications, challenges and future directions of artificial intelligence in cardio-oncology.
European journal of clinical investigation
Apr 1, 2025
BACKGROUND: The management of cardiotoxicity related to cancer therapies has emerged as a significant clinical challenge, prompting the rapid growth of cardio-oncology. As cancer treatments become more complex, there is an increasing need to enhance ...
General Applicability of Existing College of American Pathologists Accreditation Requirements to Clinical Implementation of Machine Learning-Based Methods in Molecular Oncology Testing.
Archives of pathology & laboratory medicine
Apr 1, 2025
CONTEXT.—: The College of American Pathologists (CAP) accreditation requirements for clinical laboratory testing help ensure laboratories implement and maintain systems and processes that are associated with quality. Machine learning (ML)-based model...
Transparency and Representation in Clinical Research Utilizing Artificial Intelligence in Oncology: A Scoping Review.
Cancer medicine
Mar 1, 2025
INTRODUCTION: Artificial intelligence (AI) has significant potential to improve health outcomes in oncology. However, as AI utility increases, it is imperative to ensure that these models do not systematize racial and ethnic bias and further perpetua...
The Hallmarks of Predictive Oncology.
Cancer discovery
Feb 7, 2025
As the field of artificial intelligence evolves rapidly, these hallmarks are intended to capture fundamental, complementary concepts necessary for the progress and timely adoption of predictive modeling in precision oncology. Through these hallmarks,...
Multimodal deep learning approaches for precision oncology: a comprehensive review.
Briefings in bioinformatics
Nov 22, 2024
The burgeoning accumulation of large-scale biomedical data in oncology, alongside significant strides in deep learning (DL) technologies, has established multimodal DL (MDL) as a cornerstone of precision oncology. This review provides an overview of ...
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