While artificial intelligence has the potential to address the epidemic of diagnostic errors in healthcare, the industry must overcome the challenges and limitations of these new digital tools.

That’s the contention of a new book on clinical decision support co-authored by John Halamka, MD, president of the Mayo Clinic Platform, and healthcare writer Paul Cerrato.

“Algorithms that take advantage of machine learning, neural networks and a variety of other types of artificial intelligence (AI) can help address many of the shortcomings of human intelligence,” explain Halamka and Cerrato, who make the point that the complexity of medicine now exceeds the capacity of the human mind.

The book’s authors contend that such complexity “requires humility for clinicians with years of experience successfully diagnosing patients’ ills to admit that they may be missing as many disorders as they catch.”

Nonetheless, while AI has the potential to address many of the shortcomings of human intelligence, the authors also outline in the book the criticisms, obstacles and limitations of this technology—including the fact that the evidence to show that it is having an impact on patient outcomes is mixed.

“Among the criticisms discussed is the relative lack of hard scientific evidence supporting some of the latest algorithms and the ‘explainability’ dilemma,” write Halamka and Cerrato. “Most machine learning systems are based on advanced statistics and mind-bending mathematical equations, which have made many clinicians skeptical about their worth.”

They also make the case that “any attempt to reinvent CDS also needs to tackle the outdated paradigm that still serves as the underpinning for most patient care”—namely that the “reductionistic mindset (that) insists that most diseases have a single cause.” In addition, Halamka and Cerrato charge that the “current medical model relies too heavily on a population-based approach to medicine” and that this “one-size-fits-all model is being replaced by a precision medicine approach that takes into account a long list of risk factors.”

Halamka, who previously served as executive director of the Health Technology Exploration Center for Beth Israel Lahey Health in Massachusetts, joined the Mayo Clinic on January 1.

At Mayo, Halamka now leads a portfolio of new digital platform businesses focused on transforming health by leveraging AI, the Internet of Things and an ecosystem of partners. However, he emphasizes in a recent blog post that while his new book is being published during his tenure at Mayo Clinic, “it is not endorsed by Mayo Clinic and represents the personal opinions of Paul and me.”

Halamka and Cerrato also previously co-authored a 2017 book entitled Realizing the Promise of Precision Medicine: The Role of Patient Data, Mobile Technology and Consumer Engagement. However, they contend that their new book on CDS is the “first to be published about platform thinking” and attempts to provide an in-depth look at the emerging technologies that are transforming the way clinicians manage patients.

At the same time, Halamka and Cerrato note that their “enthusiastic take on digital innovation should not give readers the impression that AI will ever replace a competent physician.” Still, they add that there is “little doubt that a competent physician who uses all the tools that AI has to offer will soon replace the competent physician who ignores these tools.”

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In 2016 an artificial intelligence bot, “Hoffbot,” used neural networks to write all of David Hasselhoff’s lines for a bizarre short film called Sunspring.  Just three months ago Botnik Studios used a predictive algorithm to create a four-page script performed by Zach Braff of Scrubs. By 2019, most leading AI providers will offer tools and libraries for building AI-powered natural-language generation, image manipulation, and other generative use cases.

Artificial Intelligence exists as an aid to creativity across every discipline.  This year more solutions will come to market–in all verticals–that use leading-edge AI approaches known as generative adversarial networks (GANs) to algorithmically create digital and analog objects of all sorts with astonishing accuracy.

While many have daily experiences with Alexa and Spotify it is important that you demo some of the user friendly digital tools that are out there (no coding required).  If you need a new website, grid.io can design one for you in a snap, just provide the content and let AI do the work for you.

Amper music puts AI to work to compose a non-melodic musical bed for your next video or podcast, no stock music required. The web interface is completely intuitive and user friendly.  You hit render and have your track.

I realize it is Easter/Passover weekend, but for those of you who celebrate Halloween year-round, Shelley, is worth a try.  Co-author a horror story with AI and have some unexpected fun with your family and friends this weekend.

The legendary Buckminster Fuller once described a designer as “an emerging synthesis of artist, inventor, mechanic, objective economist and evolutionary strategist.”  While I am a believer in lateral thinking and support this definition in general, I would probably add programmer or data scientist to its definition today.

The relationship between humans and the intelligent machines an increasing feature in our lives, and we all should actively discuss and participate in this critical, magnification point we are in the midst of today.  For creatives and designers seeking more tools I encourage you look at these autonomous design resources, and everyone should read Garry Kasparov’s new book Deep Thinking.  Reimagine your life in the era of AI, and develop your own personal POV around AI and its impacts on your business.

The post In the Age of Artificial Intelligence, Creativity Will Get an Upgrade appeared first on Artificial Intelligence.

It’s happened. Arrests have been made thanks to the evidence collected from connected digital devices such as the Amazon dot and a Fitbit. This is just the tip of the transformation that law enforcement will experience because of the Internet of Things (IoT), artificial intelligence and robots. There are certainly benefits to applying this new technology to help fight crime, but it also raises some challenging questions regarding our right to privacy and security breaches.

Internet of Things Used to Help Fight Crime

Law enforcement agencies across the world are getting trained on what to look for at crime scenes and how to handle digital evidence. Gaming consoles, Echo devices and even Fitbits have provided valuable information to help solve crimes. Most people don’t comprehend the power of these connected devices to contradict alibis and catch lies. As our reliance on these digital devices for entertainment and convenience continues to grow—watches, phones, televisions, pacemakers and more—there will be a longer trail for detectives to analyze when trying to solve a crime.

It’s commonplace now for officers to have body cams on when on patrol. These cameras can provide another set of eyes to sort through an interaction after the fact and studiessuggest they can improve self-awareness to prevent unacceptable behavior from officers and those they interact with. Knowing these interactions will be recorded is a big deterrent for bad behavior.

Some squad cars are equipped with GPS projectiles that can be shot via remote control and hook onto the back of an alleged perpetrator’s vehicle. These allow officers to know where a suspect is located and therefore prevent high-speed and dangerous car pursuits. Smart sensors have been developed that can be fixed to the inside of an officer’s gunto track how the gun is being used including whether it has been unholstered or discharged. This information could prove valuable in criminal trials.

Artificial Intelligence Aids in Predictive Policing

Several law enforcement agencies have dabbled in predictive policing including my customer the UK police in the city of Durham, England. They used a system called Hart (Harm Assessment Risk Tool) that classifies individuals and ranks the probability that they will commit another offense in the future. The system was fed data gathered between 2008-2013 and assesses people based on severity of the current crime, criminal history, flight risk and more. Although Hart’s forecasts were accurate a high percentage of the time, there are other studies that warn of using algorithms and predictive software tools because they flag minority defendants as high risk at double the rate of white defendants. One such study from ProPublica shows the human bias that is injected into such formulas because the flawed judgement of humans was used to create the programs in the first place.

Agencies across the world are moving toward more data-driven approaches to solving crimes. Machine learning is particularly skilled at identifying patterns and can be quite useful when trying to discern a modus operandi (M.O.) of an offender. Digital tools can speed up this work and find connections that might take humans much longer to uncover. In the future, these types of algorithms might prove useful to detect serial crimes committed by the same individual or group.

Robo Cops Make their Debut

There’s a new officer in Dubai to help fight crime, but although he wears a police cap, he’s 100% robot. Dubai police plan to have robotic officers make up a quarter of the force by 2030. It can speak six languages and is designed to read facial expressions. It has a computer touch screen where people can report a crime. The robot is deployed mainly to tourist spots and is equipped with a camera that sends live images back to police headquarters to identify wanted suspects. Although the robo cop can help deter crime and relieve some tasks from its human counterparts, humans are still expected to make arrests.

Other robots are deployed around the world to collect evidence, investigate and detonate bombs and for crowd control among other tasks. That hasn’t stopped more than a thousand robotic experts such as Elon Musk and Stephen Hawking to warn against arming machines without human control.

As with any adoption of artificial intelligence and the Internet of Things, there are questions to ask and answer and concerns to address. Law enforcement agencies across the world are grappling with these and trying to find the right balance to take advantage of the benefits of this technology to fight and solve crime while preserving privacy and security.

Bernard Marr is a best-selling author & keynote speaker on business, technology and big data. His new book is Data Strategy. To read his future posts simply join his network here.

It’s happened. Arrests have been made thanks to the evidence collected from connected digital devices such as the Amazon dot and a Fitbit. This is just the tip of the transformation that law enforcement will experience because of the Internet of Things (IoT), artificial intelligence and robots. There are certainly benefits to applying this new technology to help fight crime, but it also raises some challenging questions regarding our right to privacy and security breaches.

Internet of Things Used to Help Fight Crime

Law enforcement agencies across the world are getting trained on what to look for at crime scenes and how to handle digital evidence. Gaming consoles, Echo devices and even Fitbits have provided valuable information to help solve crimes. Most people don’t comprehend the power of these connected devices to contradict alibis and catch lies. As our reliance on these digital devices for entertainment and convenience continues to grow—watches, phones, televisions, pacemakers and more—there will be a longer trail for detectives to analyze when trying to solve a crime.

It’s commonplace now for officers to have body cams on when on patrol. These cameras can provide another set of eyes to sort through an interaction after the fact and studiessuggest they can improve self-awareness to prevent unacceptable behavior from officers and those they interact with. Knowing these interactions will be recorded is a big deterrent for bad behavior.

Some squad cars are equipped with GPS projectiles that can be shot via remote control and hook onto the back of an alleged perpetrator’s vehicle. These allow officers to know where a suspect is located and therefore prevent high-speed and dangerous car pursuits. Smart sensors have been developed that can be fixed to the inside of an officer’s gunto track how the gun is being used including whether it has been unholstered or discharged. This information could prove valuable in criminal trials.

Artificial Intelligence Aids in Predictive Policing

Several law enforcement agencies have dabbled in predictive policing including my customer the UK police in the city of Durham, England. They used a system called Hart (Harm Assessment Risk Tool) that classifies individuals and ranks the probability that they will commit another offense in the future. The system was fed data gathered between 2008-2013 and assesses people based on severity of the current crime, criminal history, flight risk and more. Although Hart’s forecasts were accurate a high percentage of the time, there are other studies that warn of using algorithms and predictive software tools because they flag minority defendants as high risk at double the rate of white defendants. One such study from ProPublica shows the human bias that is injected into such formulas because the flawed judgement of humans was used to create the programs in the first place.

Agencies across the world are moving toward more data-driven approaches to solving crimes. Machine learning is particularly skilled at identifying patterns and can be quite useful when trying to discern a modus operandi (M.O.) of an offender. Digital tools can speed up this work and find connections that might take humans much longer to uncover. In the future, these types of algorithms might prove useful to detect serial crimes committed by the same individual or group.

Robo Cops Make their Debut

There’s a new officer in Dubai to help fight crime, but although he wears a police cap, he’s 100% robot. Dubai police plan to have robotic officers make up a quarter of the force by 2030. It can speak six languages and is designed to read facial expressions. It has a computer touch screen where people can report a crime. The robot is deployed mainly to tourist spots and is equipped with a camera that sends live images back to police headquarters to identify wanted suspects. Although the robo cop can help deter crime and relieve some tasks from its human counterparts, humans are still expected to make arrests.

Other robots are deployed around the world to collect evidence, investigate and detonate bombs and for crowd control among other tasks. That hasn’t stopped more than a thousand robotic experts such as Elon Musk and Stephen Hawking to warn against arming machines without human control.

As with any adoption of artificial intelligence and the Internet of Things, there are questions to ask and answer and concerns to address. Law enforcement agencies across the world are grappling with these and trying to find the right balance to take advantage of the benefits of this technology to fight and solve crime while preserving privacy and security.

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