Personalized AI for Medical Diagnosis: A Look Into the Future Published at #CHI2023

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Exciting things are happening in the field of medical AI, and we're thrilled to share our latest research with you! At the upcoming CHI2023 conference, we'll present our work on "Assertiveness-based Agent Communication for a Personalized Medicine on Medical Imaging Diagnosis." Our research explores how intelligent agents can better communicate with human clinicians by adapting their tone and explanations to the clinician's experience level.

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The potential benefits of personalized AI for medical diagnosis are vast. By customizing the communication style of intelligent agents, we can help reduce medical errors, increase clinician satisfaction, and improve patient outcomes. Our research shows that assertiveness is crucial in how communication is perceived. Personalizing assertiveness to the clinician's experience level can lead to more accurate diagnoses and increased trust in the AI system.

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At the conference, we'll share our experimental results with 52 clinicians who compared a conventional agent to our assertiveness-based agent. We found that the assertiveness-based agent led to faster diagnoses and improved accuracy, especially for novice clinicians. Additionally, clinicians reported greater trust and reliability in the assertiveness-based agent, making it a promising tool for future medical AI applications.

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As we look towards the future of medical AI, it's clear that personalized communication and adaptation will play an increasingly important role. We're excited to be at the forefront of this research and can't wait to share our findings with the CHI2023 community.

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For more discussion and feedback, follow this link:

github.com/MIMBCD-UI/sa-uta11-results/discussions

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Stay tuned for our presentation, and let's keep pushing the boundaries of what's possible with personalized AI for medical diagnosis!