Summary of "Artificial intelligence in healthcare: opportunities and challenges | Navid Toosi Saidy | TEDxQUT"

Artificial intelligence (AI) can save lives and improve Healthcare by personalizing care, making hospitals more efficient, and providing accurate decision-making tools.

AI educates computer models using complex data sets to make decisions or predict outcomes.
AI models help Doctors learn from patients with similar conditions or genetic information to make informed decisions about diagnosis and treatment.
AI is being used to streamline Cancer diagnosis by consolidating information from blood tests, imaging, and genetic data to provide accurate predictions of diagnosis, treatment options, and prognosis.
Existing Regulation frameworks are not designed for AI-based software as a medical device, which can learn and evolve over time, leading to potential challenges in implementation.
Emerging Regulation frameworks are being proposed to ensure transparency, ongoing monitoring, and representative training data for AI algorithms in Healthcare.
Developers need to ensure that AI models are trained on diverse and representative data sets to avoid bias and provide accurate results for all populations.
New regulatory frameworks need to be established in consultation with AI developers, Healthcare practitioners, policy advisers, and patients to ensure the successful implementation of AI in Healthcare.