AIMC Topic: Medical Oncology
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Artificial intelligence-based biomarkers for treatment decisions in oncology.
Trends in cancer
Jan 14, 2025
The development of new therapeutic strategies such as immune checkpoint inhibitors (ICIs) and targeted therapies has increased the complexity of the treatment landscape for solid tumors. At the current rate of annual FDA approvals, the potential trea...
Larger sample sizes are needed when developing a clinical prediction model using machine learning in oncology: methodological systematic review.
Journal of clinical epidemiology
Jan 13, 2025
BACKGROUND AND OBJECTIVES: Having a sufficient sample size is crucial when developing a clinical prediction model. We reviewed details of sample size in studies developing prediction models for binary outcomes using machine learning (ML) methods with...
Sex-Based Bias in Artificial Intelligence-Based Segmentation Models in Clinical Oncology.
Clinical oncology (Royal College of Radiologists (Great Britain))
Jan 8, 2025
Artificial intelligence (AI) advancements have accelerated applications of imaging in clinical oncology, especially in revolutionizing the safe and accurate delivery of state-of-the-art imaging-guided radiotherapy techniques. However, concerns are gr...
A vision-language foundation model for precision oncology.
Nature
Jan 8, 2025
Clinical decision-making is driven by multimodal data, including clinical notes and pathological characteristics. Artificial intelligence approaches that can effectively integrate multimodal data hold significant promise in advancing clinical care. H...
Evaluating generalizability of oncology trial results to real-world patients using machine learning-based trial emulations.
Nature medicine
Jan 3, 2025
Randomized controlled trials (RCTs) evaluating anti-cancer agents often lack generalizability to real-world oncology patients. Although restrictive eligibility criteria contribute to this issue, the role of selection bias related to prognostic risk r...
AI-Enhanced Healthcare: Integrating ChatGPT-4 in ePROs for Improved Oncology Care and Decision-Making: A Pilot Evaluation.
Current oncology (Toronto, Ont.)
Dec 26, 2024
BACKGROUND: Since 2023, ChatGPT-4 has been impactful across several sectors including healthcare, where it aids in medical information analysis and education. Electronic patient-reported outcomes (ePROs) play a crucial role in monitoring cancer patie...
Precision in Parsing: Evaluation of an Open-Source Named Entity Recognizer (NER) in Veterinary Oncology.
Veterinary and comparative oncology
Dec 23, 2024
Integrating Artificial Intelligence (AI) through Natural Language Processing (NLP) can improve veterinary medical oncology clinical record analytics. Named Entity Recognition (NER), a critical component of NLP, can facilitate efficient data extractio...
[Impact of artificial intelligence on the evolution of clinical practices in oncology: Focus on language models].
Bulletin du cancer
Dec 18, 2024
Artificial intelligence (AI) is addressing many expectations for healthcare practitioners and patients in oncology. It has the potential to deeply transform medical practices as we know them today: improving early diagnosis by analysing large quantit...
Shareable artificial intelligence to extract cancer outcomes from electronic health records for precision oncology research.
Nature communications
Nov 12, 2024
Databases that link molecular data to clinical outcomes can inform precision cancer research into novel prognostic and predictive biomarkers. However, outside of clinical trials, cancer outcomes are typically recorded only in text form within electro...
Evaluation of ChatGPT as a Reliable Source of Medical Information on Prostate Cancer for Patients: Global Comparative Survey of Medical Oncologists and Urologists.
Urology practice
Nov 7, 2024
INTRODUCTION: No consensus exists on performance standards for evaluation of generative artificial intelligence (AI) to generate medical responses. The purpose of this study was the assessment of Chat Generative Pre-trained Transformer (ChatGPT) to a...
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