AIMC Topic: Medical Oncology
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Emerging Trends in Point-of-Care Technology Development for Oncology in Low- and Middle-Income Countries.
JCO global oncology
Jun 18, 2025
The growing cancer burden and suboptimal diagnostic capacity in low- and middle-income countries calls for urgent innovation in diagnostic solutions. Point-of-care technologies (POCTs) offer a transformative approach to decentralizing cancer diagnost...
Leveling Up: Harnessing Cutting-Edge Technology to Enhance Oncology Education and Learning.
American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting
May 29, 2025
The integration and utilization of digital media, gamified learning strategies, and artificial intelligence (AI) are fundamentally transforming the landscape of oncology education and learning. These technologies collectively enhance knowledge dissem...
Leveraging Digital Twins for Stratification of Patients with Breast Cancer and Treatment Optimization in Geriatric Oncology: Multivariate Clustering Analysis.
JMIR cancer
May 23, 2025
BACKGROUND: Defining optimal adjuvant therapeutic strategies for older adult patients with breast cancer remains a challenge, given that this population is often overlooked and underserved in clinical research and decision-making tools.
Use of Large Language Models in Clinical Cancer Research.
JCO clinical cancer informatics
May 19, 2025
Artificial intelligence (AI) is increasingly being applied to clinical cancer research, driving precision oncology objectives by gathering clinical data at scales that were not previously possible. Although small, domain-specific models have been use...
Artificial intelligence entering the pathology arena in oncology: current applications and future perspectives.
Annals of oncology : official journal of the European Society for Medical Oncology
Apr 29, 2025
BACKGROUND: Artificial intelligence (AI) is rapidly transforming the fields of pathology and oncology, offering novel opportunities for advancing diagnosis, prognosis, and treatment of cancer.
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 ...
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