Kenneth Yamikani Fukizi
ABSTRACT
This paper presents a demonstration of a collaborative decision-making assistant designed to support healthcare professionals in making informed and personalized treatment decisions for their patients.
The prototype highlights the integration of advanced AI algorithms, explainable AI techniques, and the utilization of mainly Microsoft related technology stacks, including ASP.Net Core and Azure Open AI services.
The significance of this prototype lies in its contribution to the field of human-computer interaction, design and critical perspectives, specifically within the sub-domain of Human-centered AI.
The prototype demonstration highlights innovation in the design, usage, sociotechnical context, and application of the prototype, and emphasizes commitment to ethical AI practices and responsible AI development, with considerations for fairness, transparency, and mitigating bias in AI algorithms, promoting the ethical use of AI in healthcare.
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