AIMC Topic: Medical Oncology
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Artificial intelligence with ChatGPT 4: a large language model in support of ocular oncology cases.
International ophthalmology
Feb 7, 2025
PURPOSE: To evaluate ChatGPT's ability to analyze comprehensive case descriptions of patients with uveal melanoma and provide recommendations for the most appropriate management.
Prompt injection attacks on vision language models in oncology.
Nature communications
Feb 1, 2025
Vision-language artificial intelligence models (VLMs) possess medical knowledge and can be employed in healthcare in numerous ways, including as image interpreters, virtual scribes, and general decision support systems. However, here, we demonstrate ...
Intricacies of human-AI interaction in dynamic decision-making for precision oncology.
Nature communications
Jan 29, 2025
AI decision support systems can assist clinicians in planning adaptive treatment strategies that can dynamically react to individuals' cancer progression for effective personalized care. However, AI's imperfections can lead to suboptimal therapeutics...
Implementation of artificial intelligence approaches in oncology clinical trials: A systematic review.
Artificial intelligence in medicine
Jan 18, 2025
INTRODUCTION: There is a growing interest in leveraging artificial intelligence (AI) technologies to enhance various aspects of clinical trials. The goal of this systematic review is to assess the impact of implementing AI approaches on different asp...
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...
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