Cindi Carter is a Field CISO, Americas, with Check Point Software Technologies.

In this insightful interview, Field CISO Cindi Carter delves into the significance of AI Appreciation Day, shedding light on why it exists and how AI is having a profound impact on our society.

In the later portion of the interview, Carter explores the far-reaching implications of AI in healthcare, and sets the stage for a crucial national dialogue about the intersection of AI and medicine. Get ready to be inspired, challenged and enlightened.

Please tell us a bit about why AI Appreciation Day is important and why Check Point is celebrating the day?

Artificial Intelligence Appreciation Day honors AI technologies’ positive contributions to humanity. At Check Point, one of the things that we love about Artificial Intelligence Appreciation Day includes the inherent promise of business innovation; business operations benefit from AI and automation through reduced costs, improved consistency and in terms of speed and scalability.

As we celebrate AI innovation and creativity, Check Point is committed to making the world a safer place; to helping businesses leverage AI tools to improve cyber security standards in business and in life.

Broadly speaking, how is artificial intelligence being used to improve health care?

Well, artificial intelligence is really no longer science fiction. Health Organizations have accumulated vast data sets in the form of health records, images, population data, claims data and of course, clinical trial data. As a result, AI solutions and technologies are well-suited to analyze data and to uncover patterns and insights that humans could not find on their own, thus helping make clinical decisions better and improving health outcomes.

Can you share some examples of how AI applications in healthcare have improved patient outcomes?

Yes, early detection is one of them and it’s one of my favorites. AI is already used to detect diseases, such as cancer, more accurately and even earlier in its progression.

Here’s an example of that: The American Cancer Society has released information showing that a high proportion of mammograms yield false results, leading to one in two healthy women being told that they have cancer.

The use of AI is now used to enable the review in the translation of mammograms 30X faster, with 99% accuracy, which reduces the need for unnecessary biopsies, and of course, unnecessary panic in the patient thinking that they have cancer, when in fact, they might not actually have it.

Another aspect of that early detection capability is the wearable devices that we now have – whether it’s a step monitor tracker or even an insulin tracker, those medical devices, combined with artificial intelligence, are also being used to oversee early stage heart disease, for example, enabling the caregivers to better monitor and detect potentially life-threatening episodes at earlier, more treatable stages.

What are the challenges and limitations associated with implementing AI in healthcare?

Well, some of the biggest risks today include things like consumer privacy, bias programming, potential danger to humans, and of course, unclear legal regulation. It definitely highlights AI ethics and encourages a national conversation about AI ethics, healthcare and consumer privacy.

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