Tag: LLM
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Evaluation Strategies for LLM-Based Exercise & Health Coaching: A Scoping Review
Introduction Large language models (LLMs) hold promise for personalized exercise and health coaching, offering capabilities from adaptive training plan generation to real-time movement feedback and motivational support. Yet translating potential into safe, effective practice requires robust evaluation across multimodal data streams (text reports, posture analysis, sensor data) and personalized outcomes. This scoping review summarizes how…
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Large Language Models in Lung Cancer: A Systematic Review
Introduction: The promise and challenge of LLMs in lung cancer care Lung cancer remains a leading cause of cancer mortality worldwide. Advances in early detection, such as low-dose CT screening, and integrated full‑cycle management offer the potential to improve survival and quality of life. At the same time, realizing these gains requires handling vast, heterogeneous…
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A Human-LLM Collaborative Annotation Approach for Screening Precision Oncology RCT Articles
Introduction Systematic reviews in precision oncology rely on identifying randomized controlled trials (RCTs) to compare therapies and guide clinical decisions. However, screening thousands of articles to find eligible RCTs is labor-intensive and prone to human error. While supervised learning can accelerate this process, it often demands large labeled datasets and careful tuning, especially for nuanced…