You're debating the impact of AI in healthcare. How do you navigate conflicting viewpoints effectively?

As someone actively involved in utilizing AI and collaborating with authorities in the field, I can confidently state that the key aspects of AI in healthcare are ethical considerations and data management, both of which should ultimately enhance patient outcomes. Address ethical issues such as privacy, consent, and bias. Ensuring AI systems are transparent and fair is essential for building trust and credibility in healthcare. Ensure that data used in AI models is accurate, comprehensive, and up-to-date. Reliable data is the backbone of effective AI applications in healthcare. Finally, ensure there is robust collaboration between healthcare professionals and technical experts.

You dont have to deeply understand about AI but what the problems that you must solve. Start putting a matrix of AI types and potential problems that they solve and then look to the open pain points for your customer to drive data curation and algorithm preparation

I don't see AI replacing human beings in the healthcare sector any soon, but it sure can be a helpful partner on our daily routine. It has been helpful in streamlining the process of healthcare management. For instance, I have been using AI to help with screening of Xray images. Although it still needs learning and the accuracy is yet to be updated, but it surely reduce the screening time by picking out abnormalities as soon as the image is ready. It can also learn by recording my comments and markers to avoid future errors. I can definitely see its potential in the long run as a good working partner.

AI can contribute immensely to healthcare in the near future. The reality is that there’ll never be a time when Doctors will be sufficient to cater for the health needs of a population. Blending AI into health systems will increase efficiency and productivity; save time and energy; and ensure everyone has access to health information and care. Like I have always said, the future of healthcare is digital.

AI is still in its early stages, and of course, the concerns of errors and data safety are valid. We must understand that AI development will continue to evolve, and just like how the internet progressed from a network of few computers decades ago to what we have today, so will AI evolve into something more sophisticated and efficient. AI will reach a point where we can rely on it. It may take few decades, but it’ll happen.

You need to generate engagement from the team for implementation since many algorithms learn by being used. Expand your team's mindset to curate the data, refine the inputs, support the evaluation of the outputs and think about creative ways of solving a problem, since automation of many repetitive tasks is already a reality

Recognizing that some jobs might be automated, leading to workforce disruption, it is important to discuss strategies for retraining and re-skilling healthcare professionals and the many different tasks in our industry.

I think all healthcare providers should begin to learn how to blend AI into their Jobs. The future belongs to those who embrace new technology. A time is coming that AI will be involved in virtually all aspects of life. Therefore, as health professionals, we must learn how to integrate AI into health care as early as possible. Those equipped with this knowledge will be at the forefront of health care in the future.

There should be a body saddled with the responsibility of vetting the health data AI feeds on. This is very vital because misleading or inappropriate information can greatly affect the effectiveness of AI in healthcare. Alternatively,different AI systems can be tested vigorously for accuracy, relevance and effectiveness before approving it for use in healthcare settings.

The dangers of over reliability on technology cannot be ignored. For now, AI should not be allowed to handle complex medical tasks without the supervision of a professional.