Presentation about your discovery of the global application of AI in the prevention, diagnosis, and treatment of Diabetes.

Final Project Guidelines: REVIEW THE RUBRICDevelop a Video with a PowerPoint Presentation about your discovery of the global application of AI in the prevention, diagnosis, and treatment of Diabetes. Slide 1: Title Slide
• Title of the Presentation:
• Name (s)
• Course Title
• Date
Instructions:
Ensure the title is clear and captures the essence of the presentation.
Include a relevant image or graphic related to AI and Diabetes.
Slide 2: Introduction to AI in Healthcare
• Provide a brief overview of Artificial Intelligence and its significance in healthcare.
• Introduce the scope of the presentation: prevention, diagnosis, and treatment of Diabetes using AI in managing the disease.
Slide 3: AI in Disease Prevention
• Summarize the literature on how AI is used globally to prevent Diabetes.
• Use bullet points for clarity.
• Include references to research studies or evidence-based examples that support your
points.
• Add visuals like charts, infographics, or screenshots of AI tools if available.
Slide 4: AI in Diagnosing the Disease
• Overview of AI technologies that assist in diagnosing Diabetes.
• Discuss how AI tools enhance the accuracy and speed of Diabetes diagnosis.
• Examples may include machine learning algorithms in diagnostic imaging or
predictive models based on patient data.
• Provide specific cases or studies where AI has improved diagnostic processes.
• Incorporate visuals such as flowcharts or diagrams to illustrate how AI integrates into
the diagnostic workflow for diabetes Slide 5: AI in the Treatment of Disease• Explore how AI supports treatment, particularly optimizing medication regimens and improving patient adherence.• Use data or examples from studies to show the effectiveness of AI in treatment.• Highlight any challenges or limitations of AI in treatment and potential solutions.Slide 6: Ethical and Practical Considerations• Discuss the ethical implications of using AI in the care of patients, including privacy concerns, bias, and the digital divide.• Practical challenges such as cost, accessibility, and the need for healthcare provider training.Instructions:• Reflect on how these considerations might influence the adoption of AI in different global settings.• Use real-world examples or case studies to illustrate these points.Slide 7 : A Comprehensive List of AI Technologies • Provide a detailed list of AI technologies being developed or currently used in healthcare focused on Diabetes.Slide 8: Reference ListSlides 9-10 should be added if more space is required, and not to exceed 10 slides