empowereing practice in healthcare with generative AI. How to use vairous AI tools to enhance and empowere healthc are practice inlcuidng teaching and research
2. I am not an AI expert, nor do I possess coding knowledge
specific to the underlying mechanisms of AI models; my
expertise lies in the utilization of these models, such as
ChatGPT, based on my extensive experience as a user
within the fields of healthcare, medical education, and
related research, rather than their technical development
or underlying algorithms.
Disclaimer
3. By the end of this lecture, participants
will be able to:
• Confidently use ChatGPT, recognizing its potential
applications and limitations within healthcare
education.
• Analyse and evaluate how ChatGPT can be
ethically leveraged to enhance teaching, learning,
and collaboration, considering its impact on
various stakeholders
• Design and implement strategies for integrating
ChatGPT into existing healthcare education
practices
4. Understanding AI, Generative AI, and
ChatGPT
• AI (Artificial Intelligence)
– refers to the simulation of human intelligence in machines that are
programmed to think, learn, and make decisions
– Applications: Includes machine learning, natural language processing,
robotics, computer vision, etc.
• Generative AI
– subset of AI that focuses on creating new data instances that are
similar to a set of training examples.
– Techniques: Examples include Generative Adversarial Networks
(GANs), Variational Autoencoders (VAEs), etc.
• ChatGPT:
– State-of-the-art language models developed by OpenAI. It utilizes the
Transformer architecture to generate human-like text based on given
prompts.
– Usage: Widely used in natural language understanding tasks, chatbots,
content creation, and more.
5. What is ChatGPT?
• Understanding Language
– Reads and comprehends human-written text.
• Generating Text
– Writes human-like text, from answers to creative content.
• Conversation
– Capable of engaging in text-based conversations with users.
• Applications
– Used in virtual assistants, education, content creation, and
more.
• Not a Human
– Generates text through algorithms, without feelings or
consciousness.
6. How Does ChatGPT Work?
“Don’t cry ………..”
“ Don’t cry over….”
• Reading Text:
• Takes in words, questions, or sentences as input.
• Understands the language like a human reading a book.
• Processing Information:
• Breaks down the input into smaller parts to understand the meaning.
• Uses a complex mathematical model to analyse the text.
• Generating Response:
• Constructs a response based on what it has "learned" from reading lots of text.
• Tries to make the response sound like something a human would say.
• No Personal Knowledge or Opinions:
• Doesn't have thoughts, feelings, or personal experiences.
• Answers are based on patterns in the data it was trained on, not personal beliefs or
opinions.
• Learning from Data:
• Trained on a vast amount of text from books, websites, and other written materials.
• Learns the structure of language and how to create sentences that make sense.
• Versatility:
• Can be used for various tasks like answering questions, writing stories, or helping with
homework.
• Adaptable to different subjects and contexts.
• Not Perfect:
• Can make mistakes or provide incorrect information.
• Needs to be used with caution, especially for critical or sensitive topics
7. Understanding ChatGPT
• Advanced language
model developed by
OpenAI.
• Generates human-like
text based on the
prompts.
• Quality vs prompt.
Quality of Response ∝ Quality of Prompt × Model Understanding
Here:
Quality of Response is the measure of how relevant, accurate, and coherent the response is.
Quality of Prompt represents the clarity, specificity, and relevance of the prompt given to the model.
Model Understanding , model's ability to interpret the prompt, including its training, design, and current context.
9. Prompt Engineering
• Define the Objective:
• Identify the specific information or assistance
• Be Clear and Precise:
• Use clear language and avoid ambiguity.
• Include essential details without over-complicating
the prompt.
• Consider Context:
• Provide relevant background or context to guide the
response.
• Set the Tone and Style:
• Specify the desired tone (formal, casual) or style
(e.g., summary, explanation) if it matters for your use
case.
• Ask Direct Questions:
• If seeking specific information, formulate your prompt
as a direct question.
• Avoid Bias and Leading Questions:
• Craft the prompt neutrally to prevent biased or
skewed responses.
• Test and Refine:
• Experiment with different phrasings and observe how
slight changes can affect the response.
• Refine the prompt
• Consider Ethical and Privacy Concerns:
• Ethical guidelines and does not request or reveal
sensitive or private information.
10. Response Validation
• Review response - meets your requirements.
• No access to real-time data
• Vaildate Validate Validate.
• Prompt – response -refine - reprompt.
Relevance
Check
Accuracy
Confirmation
Context
Consistency
Sensitivity
Review
Refinement for
Future Queries
11.
12. What is the Code
Interpreter in
ChatGPT?
• The Code Interpreter -
execute Python code
• Powerful for code
development
debugging.
13. Please respond to the following
query with a structured and
academic approach suitable for a
university lecturer. Include bullet-
point answers where applicable,
supported by relevant examples
from scholarly literature. Ensure
that all statements are backed by
credible evidence, and provide
appropriate references and citations
in accordance with standard
academic citation styles (e.g., APA,
MLA, or Chicago). The response
should be clear, concise, and
tailored to an academic audience
engaged in higher education
teaching and research."
14. How to Use
ChatGPT with
the Code
Interpreter
• Input your code in the
composer area and send it for
execution.
• ChatGPT can provide code
suggestions, help debug your
code, and explain complex
code snippets.
• You can also ask ChatGPT to
generate Python code to solve
specific problems or perform
specific tasks.
Return values of functions or expressions
Printed messages
Data visualizations
DataFrames as tables
Error messages
Execution time
Slide Decks
Diagrams
Interactive Diagrams
15.
16.
17. 67-year-old male has
dizziness every time
he sits up from a lying
position, especially in
the morning. Also,
when he suddenly
moves his head, he
notes the dizziness.
What is the diagnosis
18. Relevance to healthcare education
• Adapts to individual student needs
Personalized
Learning:
• Creating diverse and engaging educational materials.
Content Creation:
• Interactive learning experiences (Chatbot)
Student Engagement:
• Provides real-time assessment and feedback .
Assessment and
Feedback:
• content accessible to diverse learners
Accessibility:
• Facilitates collaboration among students and educators,
bridging geographical and language barriers.
Collaboration and
Communication:
19. Personalized Learning
• Tailors educational content
Adaptive Content Delivery:
• Provides instant feedback and real-time assistance
Real-Time Feedback and
Support:
• Engages with interactive dialogues and Simulates scenarios.
Interactive Learning
Environments:
• Analyses - identify strengths and weaknesses for personalized learning.
Data-Driven Insights:
• Adapts content to diverse learners & multiple languages.
Accessibility and Inclusivity:
• Facilitates collaborative learning experiences and peer interactions.
Collaboration and Peer
Interaction:
• Seamlessly integrates with Learning Management Systems (LMS)
Integration with Existing
Platforms:
• Supports lifelong learning and Assists in tracking and maintaining
professional development
Continuous Learning and Skill
Development:
• Ensures ethical guidelines and privacy regulations.
Ethical and Privacy
Considerations:
• Aligns personalized learning experiences and Ensures relevance to real-
world medical practice
Alignment with Healthcare
Objectives:
22. I have been asked
to create a
module for the
examination of
the abdomen for
organomegaly for
medical students.
Create a
curriculum and
include learning
outcomes and the
pedagogy and a
lesson plan
32. • Be clear & descriptive
• Specific styles or
techniques
• Create a test version
• Evaluate the result
• Refine the prompt
• Iterative process
33.
34. AI for Video Production
Draft
Learning
Outcomes
LO to
Prompt
ChatGPT
for video
script
Import/edi
t script to
AI Video
Generator
Add
personalised
media
Choose
Voiceover
type
Produce
Review
and
Upload
35. Write a script for
the introduction
of the anatomy
of the
organomegaly
medical student
module. This will
be a 90 second
video script. Just
provide the
narration
40. Assessment and Feedback
• Automated Grading:
• Grading objective assessments (multiple-choice, fill-in-the-blank, etc.)
• Evaluating subjective assessments (short answers, essays) with predefined criteria
• Personalized Feedback:
• Providing tailored feedback on strengths and areas for improvement
• Engaging in interactive dialogues to reinforce learning concepts
• Real-time Support:
• Offering instant feedback on performance
• Available 24/7 for flexible learning schedules
• Data-Driven Insights:
• Tracking performance over time for individual and class insights
• Designing adaptive learning paths based on student needs
• Enhancing Human Interaction:
• Freeing up educators' time for complex student interactions
• Facilitating structured peer review processes
• Ethical and Bias Considerations:
• Ensuring transparency, fairness, and avoidance of biases in AI-driven assessments
43. “the antibiotics used
in leprosy are
rifampicin and
streptomycin.
Sometimes you can
use dapsone for
resistant cases.
Rifampicin is the first
line drug” - based on
this answer provide a
grade for it
44. Transforming Teaching with LLMs
• Tailoring educational materials
• Enhancing teacher collaboration and
efficiency
• Facilitating personalized learning paths
45. Enhancing Student Experience with
LLMs
• Engaging and interactive learning
• Support for diverse learning styles
• Opportunities for self-paced learning
58. Benefits for Healthcare Employers
• Alignment with industry needs
• Enhancement of skillsets
• Increased collaboration between education
and industry
59. Improving Patient Care through
Education
• Better informed healthcare professionals
• Use of LLMs in patient education and
communication
• Enhancing patient outcomes through
improved education
60. AI & Health Professional Education
The Future
• Tailored educational content for individual needs.
Personalized Learning:
• Practice communication and diagnostic skills.
Simulated Interactions:
• 24/7 access to information and updates.
Continual Education Support:
• Assisting in identifying patterns and trends.
Collaborative Research:
• Equitable access to high-quality education.
Accessibility and Inclusivity:
• Addressing privacy, consent, and ethical use.
Ethical Considerations:
• Maximizing effectiveness and efficiency.
Integration with Existing
Systems:
• Innovative tools for real-time feedback and analysis.
Assessment and Evaluation: