The rise of AI in medical imaging has paved way for the improvement of workflow standardization, consistency and dependability imaging providers need in order to achieve the best patient care. However, as when implementing any new kind of technology into clinical workflows, there are challenges. In a special report published Jan. 30 in the inaugural issue of Radiology: Artificial Intelligence, Luciano M. Prevedello, MD, and chief of imaging informatics at The Ohio State University Wexner Medical Center in Columbus, Ohio, and colleagues recognize these challenges, but also offer potential solutions--specifically image-based competitions--which could foster collaborative AI research. The authors noted that although AI holds exciting opportunities for medical imaging, challenges related to data complexity, data access and curation, patient privacy, transferability of algorithms to mass markets and the integration of AI in clinical workflows must be addressed first in order to effectively bring AI to the forefront of augmenting patient care. "Readily available, well-curated, and labeled data of high quality is paramount to performing effective research in this area," Prevedello et al. wrote.
Visitors to Columbus, Ohio, have a new way to see the city's downtown attractions. The pilot project, which began in mid-December, belongs to a larger statewide effort to improve road safety and mobility in this car-dependent capital. "What we're looking at is, how do we apply technology to improve people's lives in a transportation context?" says Jordan Davis, director of Smart Columbus, which spearheads the fleet project. "We want to keep stretching the technology of self-driving vehicles to solve real use cases in our communities." Smart Columbus, launched in 2016 after the city bested 77 mid-sized U.S. cities for a pool of "smart transportation" funding.
Ohio wants to be a haven for self-driving cars, and it's already acting on those plans... if slowly. Smart Columbus and DriveOhio have announced that the state's first autonomous shuttle service, Smart Circuit, will launch in Columbus on December 10th. Three May Mobility vehicles will cover a 1.5-mile loop around the Scioto Mile between 6AM and 10PM, with departures from each of the four stops every 10 minutes. So long as you're not in a hurry (the shuttles drive at a modest 25MPH) and can take one of the four available seats, it won't hurt to hop aboard. This isn't meant as a full-fledged bus replacement as it is.
Dave Billiter, an Ohio native and graduate of Ohio Northern University and Columbus Southern University, joined Nationwide Children's Hospital in 2004, where he led the health system's informatics efforts. There, he oversaw the creation of a digital pathology suite that has since been used by clinicians at 65 institutions in eight countries. And if all goes according to plan, the platform he greenlit will serve as the foundation for an ambitious cloud-hosted, AI-powered toolset that'll be free of charge for doctors around the world. Billiter teamed up with Simon Arkell, the founding CEO of analytics company Predixion Software, to launch Deep Lens, a startup that aims to commercialize some of the technologies Billiter helped develop. The Columbus, Ohio company today exited from stealth with a $3.2 million seed funding round led by Sierra Ventures, with participation from Rev1 Ventures and Tamarind-Hill Fund.
OARnet recently joined several other regional and federal network organizations on a three-year, $3.5 million grant to help scientists more efficiently work with massive datasets that have become essential to modern scientific discovery. Throughout Ohio, and across the nation, we are seeing researchers transmitting an ever-increasing volume of larger and larger datasets over our networks," said Paul Schopis, executive director of OARnet. "These vast stores of information are laying the foundations for improvements in health and prosperity. As research and education networks serving these educators, scientists and engineers, we have to develop the techniques, infrastructure and policies that will fully support their information-sharing needs." The National Science Foundation (NSF) funding will create the Engagement and Performance Operations Center (EPOC) as a collaborative focal point.
OARnet recently joined several other regional and federal network organizations on a three-year, $3.5 million grant to help scientists more efficiently work with massive datasets that have become essential to modern scientific discovery. "Throughout Ohio, and across the nation, we are seeing researchers transmitting an ever-increasing volume of larger and larger datasets over our networks," said Paul Schopis, executive director of OARnet. "These vast stores of information are laying the foundations for improvements in health and prosperity. As research and education networks serving these educators, scientists and engineers, we have to develop the techniques, infrastructure and policies that will fully support their information-sharing needs." The National Science Foundation (NSF) funding will create the Engagement and Performance Operations Center (EPOC) as a collaborative focal point.
PeriGen, an innovator of perinatal early warning systems, today announced that ProMedica, a not-for-profit integrated health care organization serving 30 states, plans to deploy the company's PeriWatch Vigilance, an artificial intelligence-based maternal-fetal early warning system (EWS), in all of its labor and delivery hospitals. Vigilance is designed to help clinicians identify troubling trends earlier and more consistently than manual assessments and creates a common language for nurses and physicians to assess cases. The artificial intelligence-driven technology, developed by PeriGen, is the latest chapter in ProMedica's commitment to lead improvement in Ohio and Michigan's infant and maternal mortality and morbidity rates, which currently rank near the bottom of the nation. The software is designed to be implemented in a matter of weeks and brings an unprecedented level of monitoring to the labor and delivery floor. It does not require replacing any current systems already in place.
In what may be a world first, the FBI has forced a suspect to unlock his iPhone X using Apple's Face ID feature. Agents in Columbus, Ohio entered the home of 28-year-old Grant Michalski, who was suspected of child abuse, according to court documents spotted by Forbes. With a search warrant in hand, they forced him to put his face on front of the device to unlock it. They were then able to freely search for his photos, chats and any other potential evidence. The FBI started investigating Michalski after discovering his ad on Craigslist titled "taboo."
May Mobility launched its first low-speed autonomous shuttle service in Detroit this summer. By March, the Ann Arbor, Michigan-based company will be operating in at least three U.S. cities. The company, which just announced plans to expand to Columbus, Ohio, is planning to add another route in Grand Rapids, Michigan. It's a rapid acceleration for a company that was founded less than two years ago. May Mobility is different from other companies racing to deploy autonomous vehicles at a commercial scale.
In the crowded streets of San Francisco, companies such as Uber and Cruise Automation have been testing self-driving vehicles for years now. In suburban Phoenix, hundreds of autonomous Waymo vehicles are driving as many as 25,000 miles per day. There are, in fact, dozens of cities around the world hosting pilot programs for self-driving vehicles. The latest addition to that list is Columbus, Ohio, where a series of self-driving shuttles are being deployed on city streets this week. The electric, low-speed vehicles -- operated by the Michigan-based start-up May Mobility -- will begin testing and mapping local streets before accepting passengers in December, the company said.