This release corrects and replaces a previous release that was previously disseminated on ACCESSWIRE. The contact information has been updated.
NEW YORK, NY / ACCESSWIRE / June 20, 2023 / Bane Hunter has decades of experience using technology to create innovative products and services for a variety of industries. Even so, using technology to improve medical care and services has always been a cause close to his heart. He explains how technology looks likely to impact the medical industry this year and in the coming years. He offers insight into the pros and cons of adopting new medical technologies in different clinical settings.
One of the benefits of AI is, for example, improved diagnosis capabilities. Some tools, such as Glass AI by Glass Health, can already handle diagnosis and clinical plan creation. Even so, the use of AI in this field will likely become more commonplace than it is today - and this represents both a benefit and a potential hazard. In the near future, any doctor will be able to use some form of AI to scan a patient's records and lab results and see a list of likely problems and treatment options. Moreover, consumers could also use this technology on their own even before heading out to see a doctor. Self-management and self-diagnosis could save consumers a lot of time and expense. It would also lessen the strain on the medical industry, as many facilities are battling a chronic shortage of medical personnel. On the other hand, Bane Hunter also points out that using AI to diagnose health problems and provide treatment options isn't foolproof and can lead to an erroneous diagnostic outcome that is not challenged in the same manner we may when confronted by a human-centric provider. If the AI program doesn't have enough accurate, timely, and relevant data to rely on, it could construct a justifiable diagnosis that will give faulty or inaccurate results. Experts see this time and again, particularly when law enforcement officials rely on AI facial recognition tools. AI is prone to making mistakes if it doesn't have enough accurate and timely data to work with. Not only that but with AI, one needs to ensure that the data utilized is verifiable and not just an AI-modeled output. On a medical level, this could be deadly unless developers/administrators are able to overcome inherent AI behavior to ensure accurate results. AI is a wonderful tool, but think of it as a sailing ship that encounters wind gusts - you still have to steer, navigate and, yes, even on occasion, take down the sails to properly make it through the storm. We also need to be very careful about AI pirates - there will always be those who will be looking to exploit and weaponize AI. AI does not mean we have arrived at a perfect solution - even if we achieve Singularity.
On a more positive note, medical professionals can also use AI for pandemic modeling. As many medical facilities discovered during COVID, supply chain vulnerabilities can make it hard or even impossible to provide proper treatment. With AI, scientists are currently modeling what a future pandemic would look like. They can then see what they need to do to ensure medical facilities are completely prepared to handle various scenarios and ideally be able to apply those measures in a much more timely manner. Examples of this at a very basic level are: The AI predictive model can show how many doctors a facility would need to have on hand, and it can show how many and which supplies a facility would need and when. It could show even the best way to go about obtaining needed supplies to minimize price gouging. So in this instance, the analogy would be to use AI to know when to dodge the bullet and less in terms of knowing how to handle the bullet impact better. On a more complex and narrower aspect, of course, medical researchers will and are using AI to analyze new viruses and find potential treatment options or even cures. The transformative message here, though, is that AI has migrated from a confined scenario usage to a broader and common public deployment and impact.
New tech developments, especially in the field of generative AI, will have a huge impact on the medical industry for years to come. Bane Hunter explains that, for the most part, this is a good thing. New technology can not only help cure sick patients but also make healthcare more affordable, impactful, and accessible for all, regardless of geography or socio-economic status. Even so, he points out that there's a lot that still needs to be done to ensure new technology is as safe and accurate as possible.
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SOURCE: Bane Hunter