AI in Healthcare: Transforming Patient Care and Diagnosis

18

October

2023

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In recent years, artificial intelligence has begun to develop at an accelerating pace and has also appeared in the field of healthcare. In this blog, I will point out the transformative power of AI and how it helps medical professionals work more efficiently.

Medical image diagnostics is one of the primary uses of artificial intelligence in this field. AI can analyze x-rays faster and more accurately than humans, so the patient gets a more accurate diagnosis sooner, which can be key to increasing life expectancy. For example, software from the company Lunit Insight detects breast cancer in mammograms with 96 percent accuracy (Lunit Inc., n.d.)

Predictive analytics is another potential way to use AI in healthcare. By studying the data of many people and building models from it, it is possible to determine how much risk a particular person has for a particular disease. With personalized recommendations, diseases can be prevented and this takes a big burden off the healthcare systems, which are quite overburdened almost everywhere in the world.

With the help of virtual health assistants, the patient can be more involved in the management of his own health. This technology facilitates the work of doctors and helps the spread of telemedicine. I think everyone knows the rudimentary way to do this, since during COVID you could only reach doctors by phone. Of course, no software has yet helped their work here.

The line could be continued for a long time. I think the main question is how much patients will trust the new technologies. Who will you believe in a few years when you have to consult a doctor with a problem? For your doctor or artificial intelligence? There may come a point when artificial intelligence will rather diagnose, because it will simply be more accurate and efficient, the question is how much people will trust it.

References

Lunit Inc. (n.d.). https://www.lunit.io/en/products/mmg

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Is the era of YouTubers over?

28

September

2023

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Generative AI software not only can make texts and images but is capable of making videos as well. On average making a video for marketing purposes takes two weeks for companies. With the help of new technology, this process can be shortened to a few minutes. We don’t even have to worry about writing the script, artificial intelligence will write it for us. (Savage, 2023). We don’t need to understand any video editing or editing tasks and we can still make high quality videos.

Many companies have such services that we can try for free, I used Kapwing. Of course, only the basic functions are available for free, we have to pay for the more professional version. You can upload your own pictures and videos and edit them further, with subtitles and many other tools.

I instructed the software to make a video of the best hiking spots in the Netherlands. You can see the video here:

https://shorturl.at/jqtJ8

It made this one-and-a-half-minute video in about 1 minute, which is more like a lot of pictures in a row. But the fact is that this is also a quality that can be seen in, say, YouTube shorts or Instagram reels.

I think it will continue to improve in quality and actually be able to compete with man-made videos and possibly movies. For YouTubers, this is somewhere in competition, because people can appear on the platform without any knowledge. We also follow video content producers for their personal nature. AI can’t replace this yet, so I do believe it is not the end of the era of YouTubers, although let’s assume that many influencers will use it or already use it to promote a product or service.

References:

Savage, C. (2023, July 26). Why Generative AI Is Poised To Disrupt Video Marketing. Forbes. https://www.forbes.com/sites/forbestechcouncil/2023/07/26/why-generative-ai-is-poised-to-disrupt-video-marketing/?sh=6c95cad950dc

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