AIMC Topic: Medical Oncology
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Enhancing Physician-Patient Communication in Oncology Using GPT-4 Through Simplified Radiology Reports: Multicenter Quantitative Study.
Journal of medical Internet research
Apr 17, 2025
BACKGROUND: Effective physician-patient communication is essential in clinical practice, especially in oncology, where radiology reports play a crucial role. These reports are often filled with technical jargon, making them challenging for patients t...
[Artificial intelligence and civil liability in cancerology: The breast cancer example].
Gynecologie, obstetrique, fertilite & senologie
Apr 17, 2025
For some years now, artificial intelligence has been investing in the field of healthcare, in both technical and clinical disciplines. While this technological advance represents a real opportunity for the doctors of today and tomorrow, the fact rema...
Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review.
JMIR cancer
Mar 28, 2025
BACKGROUND: Natural language processing systems for data extraction from unstructured clinical text require expert-driven input for labeled annotations and model training. The natural language processing competency of large language models (LLM) can ...
Large Language Models as Decision-Making Tools in Oncology: Comparing Artificial Intelligence Suggestions and Expert Recommendations.
JCO clinical cancer informatics
Mar 20, 2025
PURPOSE: To determine the accuracy of large language models (LLMs) in generating appropriate treatment options for patients with early breast cancer on the basis of their medical records.
PLSKB: An Interactive Knowledge Base to Support Diagnosis, Treatment, and Screening of Lynch Syndrome on the Basis of Precision Oncology.
JCO clinical cancer informatics
Mar 14, 2025
PURPOSE: Understanding the genetic heterogeneity of Lynch syndrome (LS) cancers has led to significant scientific advancements. However, these findings are widely dispersed across various resources, making it difficult for clinicians and researchers ...
Hallmarks of artificial intelligence contributions to precision oncology.
Nature cancer
Mar 7, 2025
The integration of artificial intelligence (AI) into oncology promises to revolutionize cancer care. In this Review, we discuss ten AI hallmarks in precision oncology, organized into three groups: (1) cancer prevention and diagnosis, encompassing can...
Potential of AI and ML in oncology research including diagnosis, treatment and future directions: A comprehensive prospective.
Computers in biology and medicine
Mar 3, 2025
Artificial intelligence (AI) and machine learning (ML) have emerged as transformative tools in cancer research, offering the ability to process huge data rapidly and make precise therapeutic decisions. Over the last decade, AI, particularly deep lear...
Advances of artificial intelligence in clinical application and scientific research of neuro-oncology: Current knowledge and future perspectives.
Critical reviews in oncology/hematology
Mar 1, 2025
Brain tumors refer to the abnormal growths that occur within the brain's tissue, comprising both primary neoplasms and metastatic lesions. Timely detection, precise staging, suitable treatment, and standardized management are of significant clinical ...
Generative artificial intelligence in oncology.
Current opinion in urology
Feb 28, 2025
PURPOSE OF REVIEW: By leveraging models such as large language models (LLMs) and generative computer vision tools, generative artificial intelligence (GAI) is reshaping cancer research and oncologic practice from diagnosis to treatment to follow-up. ...
ChatGPT in Oncology Diagnosis and Treatment: Applications, Legal and Ethical Challenges.
Current oncology reports
Feb 25, 2025
PURPOSE OF REVIEW: This study aims to systematically review the trajectory of artificial intelligence (AI) development in the medical field, with a particular emphasis on ChatGPT, a cutting-edge tool that is transforming oncology's diagnosis and trea...
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