Yes, the quotes are intentional. I'm a marketer, so I understand that rebranding might drive up the price, so some programmers and analysts are calling themselves data scientists. What that means is that business people, from executives to HR to line managers, should have a better understanding of the claim and reality. The entire purpose of business software systems has always been to provide business decision makers the KPI's they need to make informed decisions. That was the goal with mainframes and reports on ribbon paper, and it remains the goal on today's smartphones.

The FDA has approved a new artificial intelligence tool called OsteoDetect that helps doctors diagnose wrist fractures. The tool is a computer-aided detection and diagnosis software application that uses AI algorithms to help healthcare providers determine if a wrist fracture is present at a faster rate than traditional diagnostic technologies. The FDA has increasingly approved new technologies that offer novel ways to diagnose and support healthcare providers. The new OsteoDetect approval is the latest example of the FDA's increased acceptance of new technologies, this one specifically targeted at diagnostics. The software works by using AI to analyze 2D x-ray images of the patient's wrist.

Brazilian startup Cobli has specialized in technological solutions for vehicle fleet monitoring and management. It is currently focusing on safety and refining a tool to identify driver behavioral patterns by analyzing data collected by a solar-powered tracker. The project is based on machine learning, an application of artificial intelligence, and had the support) from the São Paulo Research Foundation - FAPESP through its Innovative Research in Small Business Program (PIPE http://www.bv.fapesp.br/en/3). "The algorithm uses the data collected to establish a driving profile with more than 90% accuracy," says engineer Rodrigo Mourad, a partner and co-founder of Cobli. According to Mourad, in one or two weeks of use, the system can glean a sufficient amount of data - on speed, acceleration, braking and curve angles - to produce a profile of the driver's vehicle handling habits.

The use of artificial intelligence (AI) technology in health care is poised to soar throughout the globe in the coming years, including to support preventive care in people's homes. The report defines artificial intelligence (AI) as providing "a device or software program the ability to interpret complex data, including images, video, text, and speech or other sounds, and act on that interpretation to achieve a goal." The number of monitoring devices capturing patient data for AI purposes such as predictive analytics will increase exponentially, the report found. Specifically, there were 53,000 such devices in use as of 2017, and there will be 3.1 million as of 2021. "This includes the use of AI for home-based preventive care solutions," an ABI press release stated.

In this day and age, data protection is paramount whether the information belongs to an individual, a business or a government entity. However, transparency is equally important to verify identities, conduct transactions efficiently, and provide an honest overview of projects. At first glance, data protection and transparency seem to contradict one another. But looking at them closely, both can be achieved without them clashing against each other. And the means to efficiently and effectively reach this outcome relies on two things: blockchain technology and artificial intelligence.

Image has been cropped for size. Docbot doesn't exactly make the sci-fi physician-replacement robots that its name may imply, but it is making strides towards building more advanced artificial intelligence (AI) tools for the clinical setting. The California startup today unveiled an AI workflow suite for colonoscopies--and it believes it can develop a validated, commercially available version in the next few months. Put simply, Qualoscopy--as the system is called--is part diagnostic support tool, part automated scribe. It applies AI to polyp detection but also integrates in electronic health records (EHR) systems to auto-document procedures and associated quality measures.

Artificial intelligence, which is bringing us everything from self-driving cars to personalized ads on the web, is also invading the world of medicine. In radiology, this technology is increasingly helping doctors in their jobs. A computer program that assists doctors in diagnosing strokes garnered approval from the U.S. Food and Drug Administration earlier this year. Another that helps doctors diagnose broken wrists in X-ray images won FDA approval on May 24. One particularly intriguing line of research seeks to train computers to diagnose one of the deadliest of all malignancies, pancreatic cancer, when the disease is still readily treatable.

TORONTO, ON - APRIL 30: Saudi Arabian citizen Humanoid Robot Sophia is seen during the Discovery exhibition on April 30, 2018 in Toronto, Canada. Artificial Intelligence (AI) is nothing if not controversial. Whether the subject of scrutiny behind hair-raising advances in sex robots which was heavily reported the other week or the topic of the latest disgruntled executive voicing opinions about Elon Musk's crusade against AI's perceived perils, all eyes are on this new area in tech. While no one is yet absolutely sure of AI's definitive path, one thing is certain. Value and expenditures pertaining to this area of emerging technology are on a definite upward curve.

Artificial Intelligence (AI) and machine learning have taken the healthcare industry by storm. They aren't just illusional tech any more, they are practical tools that can help organizations improve their service, optimize the standard of care, reduce risk, and generate more revenue. Nearly all the big companies in the healthcare arena have embraced the technology. For people, smartbands and smartwatches can help them stay fit by tracking their health and activity level, calorie count, nutrient intake, sleep cycle and more. With a market anticipated to grow to $27.11 billion by 2023, it's apparent that remote monitoring and control will illustrate the future of healthcare.

The U.S. Food and Drug Administration (FDA) has just approved an AI-based diagnostic tool that can accurately detect wrist fractures. Imagene's OsteoDetect uses machine learning algorithms to study 2D X-rays for the signs of wrist fractures. "Artificial intelligence algorithms have tremendous potential to help health care providers diagnose and treat medical conditions," said Robert Ochs, Ph.D., acting deputy director for radiological health, Office of In Vitro Diagnostics and Radiological Health in the FDA's Center for Devices and Radiological Health. "This software can help providers detect wrist fractures more quickly and aid in the diagnosis of fractures." OsteoDetect isn't about to replace doctors but it can help improve fracture detection and get the correct diagnosis and treatment quickly.