AIMC Topic: Medical Oncology
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Artificial Intelligence to Enhance Precision Medicine in Cardio-Oncology: A Scientific Statement From the American Heart Association.
Circulation. Genomic and precision medicine
Feb 24, 2025
Artificial intelligence is poised to transform cardio-oncology by enabling personalized care for patients with cancer, who are at a heightened risk of cardiovascular disease due to both the disease and its treatments. The rising prevalence of cancer ...
Externally validated and clinically useful machine learning algorithms to support patient-related decision-making in oncology: a scoping review.
BMC medical research methodology
Feb 21, 2025
BACKGROUND: This scoping review systematically maps externally validated machine learning (ML)-based models in cancer patient care, quantifying their performance, and clinical utility, and examining relationships between models, cancer types, and cli...
Artificial Intelligence Applications in Cardio-Oncology: A Comprehensive Review.
Current cardiology reports
Feb 19, 2025
PURPOSE OF REVIEW: This review explores the role of artificial intelligence (AI) in cardio-oncology, focusing on its latest application across problems in diagnosis, prognosis, risk stratification, and management of cardiovascular (CV) complications ...
Evidence-Based Analysis of AI Chatbots in Oncology Patient Education: Implications for Trust, Perceived Realness, and Misinformation Management.
Journal of cancer education : the official journal of the American Association for Cancer Education
Feb 18, 2025
The rapid integration of AI-driven chatbots into oncology education represents both a transformative opportunity and a critical challenge. These systems, powered by advanced language models, can deliver personalized, real-time cancer information to p...
Realizing the promise of machine learning in precision oncology: expert perspectives on opportunities and challenges.
BMC cancer
Feb 17, 2025
BACKGROUND: The ability of machine learning (ML) to process and learn from large quantities of heterogeneous patient data is gaining attention in the precision oncology community. Some remarkable developments have taken place in the domain of image c...
Artificial intelligence in digital pathology - time for a reality check.
Nature reviews. Clinical oncology
Feb 11, 2025
The past decade has seen the introduction of artificial intelligence (AI)-based approaches aimed at optimizing several workflows across many medical specialties. In clinical oncology, the most promising applications include those involving image anal...
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...
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