How AI help with Patient-Facing Applications?

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How AI help with Patient-Facing Applications?
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This is a past event

BHDS Seminar - Hybrid Event

With AI's growing prevalence in healthcare, its applications in patient-facing scenarios are expanding. This talk explores AI's multifaceted role in such applications through three primary pillars: Sustainability, Efficiency, and Engagement (SEE).

Sustainability: "MyChoice" initiative will be discussed aiming to harness AI to promote healthy and sustainable food choices. Despite existing guidelines and increased awareness, significant progress in improving dietary health and reducing environmental impact remains elusive. The MyChoice project seeks to deepen the understanding of individual and population-level drivers and barriers to sustainable food choices, utilizing AI for dietary assessment and calorie estimation.

Efficiency: We will then examine the ASICA platform, developed for melanoma aftercare. This platform faces challenges with poor-quality self-taken images provided by patients. The proposed ASICA+ aims to overcome these issues with a lightweight AI toolkit that evaluates and guides patients in real-time to improve image quality. This involves a semantics-aware contrastive learning model for label-free medical image quality assessment, offering efficient, real-time solutions that run on edge devices.

Engagement: Finally, the talk addresses the use of AI to enhance the comprehensibility of cancer multidisciplinary team (MDT) reports for patients. By leveraging tools like ChatGPT, the goal is to reduce clinician burnout and improve patient communication. A case study on using ChatGPT to explain MDT reports reveals both positive feedback and barriers, highlighting the necessity for patient-friendly interfaces and seamless integration into clinical workflows.

This talk underscores AI's potential to enhance healthcare through sustainable practices, efficient patient management, and improved patient engagement.

This talk will be recorded, so if you can’t make it live, you’ll still be able to catch up later. 

Speaker
Dr Dewei Yi and Prof. Ehud Reiter Department of Computing Science
Hosted by
Teams and room HSB115
Contact

Contact bhds@abdn.ac.uk for joining details