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Artificial intelligence (AI) in healthcare and research - Coggle Diagram
Artificial intelligence (AI) in healthcare and research
What is AI?
Reasoning & decision-making
Pattern recognition
Learning from data
AI in healthcare
Disease detection & diagnosis
Management of chronic conditions
Drug discovery & research
Health service delivery (e.g. workflow, triage)
Predictive analytics (risk of disease)
Limits of AI
Required significant computing power
AI systems might not be able to possess compasstion
The future of AI
More advanced and attain the ability to carry out a wider range of tasks
Ethical and social issues
Reliability and safety
Data bias, fairness, and equity
Trust Data privacy and security
Transparency and accountability
Effects on patients
Effects on healthcare professionals
Malicious of AI
Challenges for governance
ensure that AI is developed and used is transparent, accountable, and compatible with public interest, and balanced
Purpose
Trialled for healthcare and research purposes
Conclusion
Raises a number of ethical and social issues
AI technologies have the potential to help address important health challenges