Q: What is the role of Artificial Intelligence (AI) in healthcare?
A: AI in healthcare involves the use of computer systems to perform tasks that typically require human intelligence, such as data analysis, diagnosis, and treatment recommendation.
Q: How does Advanced Data Analytics benefit healthcare?
A: Advanced Data Analytics in healthcare helps extract valuable insights from large volumes of data, improving decision-making, patient care, and resource allocation.
Q: What is Machine Learning (ML) in the context of healthcare?
A: Machine Learning is a subset of AI that enables computers to learn from data and improve their performance over time. In healthcare, it aids in tasks like disease prediction and diagnosis.
Q: Why is transparency important for Machine Learning models in healthcare?
A: Transparency is crucial for ML models in healthcare to ensure that the decision-making process is understandable and trustworthy for both healthcare professionals and patients.
Q: How might AI and ML technologies shape the future of healthcare?
A: AI and ML technologies are expected to make healthcare more data-driven, leading to improved patient care, resource allocation, and policy decisions.
Q: Can you provide examples of ML applications in healthcare?
A: ML has diverse applications in healthcare, including disease diagnosis, early epidemic detection, personalizing treatment plans, and improving risk assessment accuracy.
