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

25
4


Artificial intelligence has the ability to revolutionise and personalise targeted healthcare for individual patients. The regulatory frameworks for AI in healthcare are a critical component in managing and maximising accurate healthcare predictions.

Navid holds a PhD in Biomedical Engineering and Medical Device Development. He has previously worked as a postdoctoral researcher focusing on translation and commercialization of biodegradable implants. Navid is currently focused on enabling artificial intelligence-based healthcare solutions to be commercially developed and applied in clinical settings. Dr Navid Toosi Saidy is the Digital Health Lead at Max Kelsen, driving the implementation of digital innovation in healthcare. Navid holds a PhD in Biomedical Engineering and Medical Device Development. He has previously worked as a postdoctoral researcher focusing on translation and commercialization of biodegradable implants.

Drawing on years of experience collaborating at the University research level, and with medical device companies and regulators, Navid is currently focused on enabling artificial intelligence-based healthcare solutions to be commercially developed and applied in real world clinical settings. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at

source

25 Comments

  1. This was quite a fascinating take on how artificial intelligence will revolutionise healthcare. For me, the biggest revolution will certainly be organoids and how they will be able to treat alzheimers and dementia patients as that is a big concern for the older generation.

  2. AI in healthcare presents both exciting opportunities and significant challenges. On the opportunity side, AI has the potential to revolutionize diagnostics by analyzing medical images, genetic data, and patient records with incredible precision, enabling earlier detection of diseases such as cancer, heart disease, and neurological disorders. AI can also enhance treatment plans by predicting outcomes and personalizing therapies based on individual patient data, improving both the quality and efficiency of care. Additionally, AI can help streamline administrative tasks, reduce healthcare costs, and enable more accessible care through telemedicine and virtual assistants. However, there are notable challenges to overcome. One of the biggest concerns is data privacy and security, as AI systems require vast amounts of personal health data to function effectively. There’s also the issue of algorithmic bias, where AI models trained on unrepresentative data may produce skewed results, leading to unequal care. The integration of AI into healthcare requires robust regulation to ensure safety, transparency, and ethical use. Furthermore, there is a need to train healthcare professionals to work alongside AI tools effectively, ensuring that technology enhances rather than replaces human expertise. Balancing these opportunities and challenges will be key to realizing the full potential of AI in transforming healthcare for the better.

  3. There are a bunch of very longwinded tl;dr comments here, by channels with no avatar, content or "About" info, written in the same kind of tone. Wouldn't be surprised if it's bots or the same person., or AI.

  4. While implementation and use of a new technology can be scary, the potential for greater streamlined success is far more vast than any hesitation or fear of using Ai. With a strong and unbiased foundation, along with flexible and stringent monitoring, we could enter a new era of healthcare.

Leave A Reply

Please enter your comment!
Please enter your name here