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7 ways AI will transform health care

(TECH NEWS) Instead of worrying about the singularity of AI technology, let’s shine a ray of hope, and show one of the best ways to use AI robots.

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Artificial intelligence (AI) has revolutionized business practices across many industries. With 39% of health care providers investing in AI-related technologies, it’s safe to say it’s about to transform the medical industry as well. AI’s disruptive potential may increase profits in other sectors, but in health care, it can save lives.

While robots aren’t quite ready to replace doctors, they can help them accomplish their tasks with higher speed and precision. AI in the hospital is not just a thing of the future, either. All around the world, smart machines are already assisting medical staff in a variety of ways.

As this technology refines, machine learning will become an increasingly regular part of medicine. Here are seven ways AI will transform health care in the coming years.

1. Robot-Assisted Surgery

It may sound like something out of a sci-fi movie, but surgery robots are already in use. In 2017, more than 690,000 surgeries were assisted by robots in the U.S. alone. As these machines continue to demonstrate their worth, they’ll appear in more operating rooms.

Robotic surgeons like the da Vinci Surgical System offer more precise and less invasive movements than human hands and traditional tools. With AI, they can improve upon surgical methods. AI-enabled surgery bots can notice reactions in a patient invisible to the human eye and make necessary adjustments.

2. Early Diagnoses

Intelligent programs can quickly analyze vast amounts of information. This unique talent makes AI ideal for making preliminary diagnoses in patients. Smart machines can take note of patients’ symptoms and interpret them to make an early diagnosis while doctors make their rounds.

The accuracy of these diagnoses will improve as AI develops, but even at its current state, they can be useful. Doctors can use them as a starting-off point. A list of likely diagnoses can be a helpful resource to doctors when trying to diagnose patients as quickly as possible. They might also make health care professionals consider options they otherwise wouldn’t have thought of, increasing accuracy.

3. Administrative Assistance

Treating patients is not the only duty of health care professionals. Doctors and nurses have to take records of patient data, from symptoms to insurance information, so they can refer to them later or send them to other hospitals. This process can take time, and any issues along the way can create problems for patients and doctors alike.

IT usability is a critical part of health care, and AI can optimize it. Intelligent systems can find ways to streamline the information-sharing process, ensuring health workers get the data they need as soon as possible. AI can also handle administrative tasks like scheduling and logistics, allowing hospital staff to focus on more pressing concerns.

4. Health Screenings

Just as AI applications can diagnose patients, they can also make predictions about a person’s fitness for a given situation. Predictive analytics is an AI function that analyzes historical data to make predictions about future outcomes. AI systems can use predictive analytics to perform more nuanced health screenings.

AI can tell doctors is a patient would be fit for surgery or not. Similarly, it can advise people if they aren’t a suitable candidate for physically exerting activities or tests. These analytics consider a wide range of data, including things a human might overlook, leading to more accurate predictions.

5. Remote Monitoring

AI can also optimize health care outside of the hospital. Wearable technology is already prevalent with products like Fitbit, and the medical industry can use this to its advantage. With wearable health-monitoring devices, doctors can monitor their patients remotely.

Remote monitoring devices can alert patients if they need to see a doctor. Should an emergency occur, they can also alert hospital staff so they can send an ambulance. These noninvasive technologies will allow patients with conditions such as heart disease to live without fear by providing them with almost instant assistance.

6. Robot Nurses

Intelligent robots can help fix the nursing labor shortage by filling in those vital roles. Nursing robots are already working in Japanese hospitals and may soon see use in the U.S. These machines can help patients move, reduce their stress and remind them to take their medicine.

With AI, these robot nurses can adapt to each patient’s needs and desires. By analyzing how different people respond to various stimuli and situations, they can customize care. Intelligent nurse robots treat patients in a manner ideal for their health and comfort needs.

7. AI-Enabled Genomics

Compared to humans, AI is better suited for data-heavy tasks. Since DNA sequencing is a form of data analysis, it’s an ideal area to employ AI.

Using artificial intelligence in genomics has already shown impressive results. In 2019, an AI system identified new genetic mutations that contributed to autism. The system could detect patterns in DNA humans would not be able to, as well as predict how changing each gene would affect a person.

AI Is Revolutionizing Medicine

Artificial intelligence is changing the way the health care industry operates. With continued research and improvement, AI systems could save countless lives.

Megan Ray Nichols is an editorialist at The American Genius, and is a technical writer who's passionate about technology and the science. She also regularly writes at Smart Data Collective, IoT Times, and ReadWrite. Megan publishes easy to understand articles on her blog, Schooled By Science - subscribe today for weekly updates!

Tech News

Onboarding for customers and employees made easy

(TECH NEWS) Cohere enables live, virtual onboarding at bargain prices to help you better support and guide your users.

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Web development and site design may be straightforward, but that doesn’t mean your customers won’t get turned around when reviewing your products. Onboarding visitors is the simplest solution, but is it the easiest?

According to Cohere–a live, remote onboarding tool–the answer is a resounding yes.

Cohere claims to be able to integrate with your website using “just 2 lines of code”; after completing this integration, you can communicate with, guide, and show your product to any site visitor upon request. You’ll also be able to see what customers are doing in real time rather than relying on metrics, making it easy to catch and convert customers who are on the fence, due to uncertainty or confusion.

There isn’t a screen-share option in Cohere’s package, but what they do include is a “multiplayer” option in which your cursor will appear on a customer’s screen, thus enabling you to guide them to the correct options; you can also scroll and type for your customer, all the while talking them through the process as needed. It’s the kind of onboarding that, in a normal world, would have to take place face-to-face–completely tailored for virtual so you don’t have to.

You can even use Cohere to stage an actual demo for customers, which accomplishes two things: the ability to pare down your own demo page in favor of live options, and minimizing confusion (and, by extension, faster sales) on the behalf of the customer. It’s a win-win situation that streamlines your website efficiency while potentially increasing your sales.

Naturally, the applications for Cohere are endless. Using this tool for eCommerce or tech support is an obvious choice, but as virtual job interviews and onboarding become more and more prevalent, one could anticipate Cohere becoming the industry example for remote inservice and walkthroughs.

Hands-on help beats written instructions any day, so if companies are able to allocate the HR resources to moderate common Cohere usage, it could be a huge win for those businesses.

For those two lines of code (and a bit more), you’ll pay anywhere from $39 to $129 for the listed packages. Custom pricing is available for larger businesses, so you may have some wiggle room if you’re willing to take a shot at implementing Cohere business-wide.

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Smart clothing could be used to track COVID-19

(TECH NEWS) In order to track and limit the spread of COVID-19 smart clothing may be the solution we need to flatten the curve–but at what cost?

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COVID tracking clothing

When most people hear the phrase “smart clothing”, they probably envision wearables like AR glasses or fitness trackers, but certainly not specially designed fabrics to indicate different variables about the people wearing them–including, potentially, whether or not someone has contracted COVID-19.

According to Politico, that’s exactly what clinical researchers are attempting to create.

The process started with Apple and Fitbit using their respective wearables to attempt to detect COVID-19 symptoms in wearers. This wouldn’t be the first time a tech company got involved with public health in this context; earlier this year, for example, Apple announced a new Watch feature that would call 911 if it detected an abnormal fall. The NBA also attempted to detect outbreaks in players by providing them with Oura Rings–another smart wearable.

While these attempts have yet to achieve widespread success, optimism toward smart clothing–especially things like undershirts–and its ability to report adequately someone’s symptoms, remains high.

The smart clothing industry has existed in the context of monitoring health for quite some time. The aforementioned tech giants have made no secret of integrating health- and wellness-centric features into their devices, and companies like Nanowear have even gone so far as to create undergarments that track things like the wearer’s heart rate.

It’s only fitting that these companies would transition to COVID assessment, containment, and prevention in the shadow of the pandemic, though they aren’t the only ones doing so. Indeed, innovators from all corners of the United States are set to participate in a “rapid testing solutions” competition–the end goal being a cheap, fast, easy-to-use wearable option to help flatten the curve. The “cheap” aspect is perhaps the most difficult; as Politico says, the majority of people have a general understanding of how to use wearable technology.

Perhaps more importantly, the potential for HIPPA violations via data access is high–and, during a period of time in which people are more suspicious of technology companies than ever, vis-a-vis data sharing, privacy could be a significant barrier to the creation, distribution, and use of otherwise crucial smart clothing.

There is no denying that the Coronavirus pandemic has accelerated, among other things, technological advancement in ways unseen by many of us alive today. Only time will tell if smart clothing–life-saving potential and all–becomes part of that trend.

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Tech News

Say goodbye to browser cookies – Google wants to give you ‘trust tokens’

(TECH NEWS) Google plans to do away with third-party cookies in favor of “trust tokens”. The question is, will they gain our trust?

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Privacy concerns should be at an all-time high with the sheer number of people working from home–something that may have been factored into Google’s recent decision to begin phasing out third-party cookies in their Chrome browser.

In doing so, Chrome would join browsers such as Safari and Firefox–two popular alternatives that have been more proactive about protecting user privacy in the past, according to The Verge.

Cookies, for those who don’t know, are small pieces of information stored on your computer by websites you visit; when third-party cookies are downloaded from these sites, they can track your activity across the internet, thus resulting in unpleasantries like targeted ads and location-based services appearing in your browser.

It’s all a little too accurate to your habits for comfort, so Google is proposing a separate solution: trust tokens.

No, trust tokens are not the newest form of currency on CBS Survivor–they’re “smart” iterations of cookies that will validate your access to a specific website without tracking you once you leave that page. This way, you get to keep your website-specific data–passwords, usernames, and preferences–without having your privacy encroached upon any more than Google already does (admittedly, that doesn’t sound like much of a change, but bear with us).

The real catch for trust tokens is that they don’t actually identify you the way that cookies do, and while some of the side effects of trust tokens may resemble cookie use–e.g., advertisers knowing you clicked on their ad–tokens are a decidedly less personal, more private way to access web content.

Google isn’t just throwing out third-party cookies as a gesture, it seems. Along with the announcement about trust tokens, Google mentioned that they plan to create more transparency around ads–specifically by allowing you to see why you’re seeing a specific ad and from whom and where the ad originated. An extension to help lend additional information about ads is also in the works.

These changes are expected to be implemented within the year. For now, though, you should stick to Firefox or Safari if you’re worried about cookies–you’ll be able to get back to your Chrome tabs soon enough.

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