Orthopedic surgeons and biomedical engineers are trained to approach adolescent and young adult hip pain from two different perspectives. Surgeons typically look at conditions such as femoroacetabular impingement (FAI) and hip dysplasia from a clinical point of view. Engineers more often focus on the technology angle. These two perspectives have come together at Boston Children's Hospital, resulting in a tool that could improve diagnosis and clinical planning for hip patients around the globe. VirtualHip is a software platform that uses artificial intelligence (AI) and 3D imaging to support diagnosis and treatment of pediatric hip deformities.

ECRI and the Institute for Safe Medication Practices PSO know that there were thousands of patient safety events reported in 2021 that will never get reviewed. The patient safety organization is one of about 96 across the country and collects data on mistakes that resulted in patient harm and near misses. This year, member hospitals sent ECRI more than 800,000 of these reports, according to director Sheila Rossi. Federal agencies and PSOs are only able to gain insights from a fraction of events reported every year. Not having the capacity to sift through all the reports has consequences, though it's not required by law.

RALEIGH – Red Hat is not known necessarily as a life science firm, but the open source technology giant is going after COVID-19 as part of two new efforts to combat the global scourge. "Working with Red Hat Open Innovation Labs provided a more flexible and responsive approach for creating solutions using open source technologies. We were able to build a DevOps platform that can not only deliver relevant, timely COVID-related information and knowledge to health workers globally, but one that can also scale and adapt to their future needs." A WHO team spent an eight-week virtual residency with Red Hat Open Innovation Labs "to help organizations integrate people, practices and technology to increase agility in the development of software and products, catalyze innovation and solve internal challenges in an accelerated time frame," Red Hat explained. On the AI front, Red Hat is partnering with DarwinAI, the University of Waterloo and Boston Children's, a pediatric hospital, to advance a project called COVID-Net.

DarwinAI, the explainable artificial intelligence (XAI) company, and Red Hat, the world's leading provider of open source solutions, announced a collaboration to accelerate the deployment of COVID-Net--a suite of deep neural networks for COVID-19 detection and risk stratification via chest radiography--to hospitals and other healthcare facilities. DarwinAI and Red Hat are also leveraging the expertise of a computation research group, the Fetal Neonatal Neuroimaging and Developmental Science Center (FNNDSC) at Boston Children's Hospital to better focus the software for real world clinical and research use. "The COVID-Net system is a promising tool, but needs to be coupled with a compelling GUI to be effective -- Boston Children's ChRIS framework and the Red Hat OpenShift platform provides an effective way to get COVID-Net into the hands of health care professionals on the front lines." Since the launch of COVID-Net by DarwinAI and the University of Waterloo's Vision and Imaging Processing (VIP) Lab, the project has continued to evolve with assistance, participation and collaboration from researchers and clinicians around the world. The initiative eventually led to a collaboration between DarwinAI and Red Hat, using underlying technology from Boston Children's, the number one pediatric hospital in the nation.

Artificial intelligence (AI) is becoming a powerful tool for tracking and treating COVID-19 in the U.S. and abroad. Several U.S. institutions are developing new AI technology or using preexisting technology to monitor and treat the new coronavirus. HealthMap, an AI application run by Boston Children's Hospital, was launched in 2006. It was among the first tracking mechanisms to detect the COVID-19 outbreak in China. "HealthMap data has been used for research studies of infectious disease events," said Kara Sewalk of Boston Children's Hospital, "and can even be used by the general public to receive real-time information on disease events in their community" or where they may travel.

Science's COVID-19 coverage is supported by the Pulitzer Center. The international alarm about the COVID-19 pandemic was sounded first not by a human, but by a computer. HealthMap, a website run by Boston Children's Hospital, uses artificial intelligence (AI) to scan social media, news reports, internet search queries, and other data for signs of disease outbreaks. On 30 December 2019, it spotted a news report of a new type of pneumonia in Wuhan, China, and issued a one-line email bulletin that seven people were in critical condition, rating the urgency at three on a scale of five. Colleagues in Taiwan had already alerted Marjorie Pollack, a medical epidemiologist in New York City, to social media chatter in China that reminded her of the 2003 outbreak of severe acute respiratory syndrome (SARS), which spread to dozens of countries and killed 774.

HealthMap uses artificial intelligence and data mining to spot disease outbreaks and issue location-specific alerts (colored dots) on COVID-19 and other diseases. It sounded an early alarm on the pandemic. Science's COVID-19 reporting is supported by the Pulitzer Center. The international alarm about the COVID-19 pandemic was sounded first not by a human, but by a computer. HealthMap, a website run by Boston Children's Hospital, uses artificial intelligence (AI) to scan social media, news reports, internet search queries, and other information streams for signs of disease outbreaks.

With novel coronavirus spreading throughout the United States, researchers are turning to social media and artificial intelligence to track the virus as it spreads. A team headquartered at Boston Children's Hospital is implementing machine learning to scour through social posts, news reports, data from official public health channels and information supplied by doctors for warning signs that the virus is taking hold in locations outside of China. "There's incredible data that's locked away in various tools like online news sites, social media, crowdsourcing, data sources, that you wouldn't think of that would be used for public health," said Dr. John Brownstein, chief innovation officer at Boston Children's Hospital. "But actually they have incredible amounts of information that you wouldn't find in any sort of traditional government system." More than 95,000 people around the world have been infected by the outbreak of novel coronavirus, and more than 3,200 have died -- most in China.

Coronavirus fears are spreading, but it's opening up options for disruptive technology to show its stuff in the wake of the outbreak. A team in Boston Children's Hospital is implementing machine learning to sift through copious amounts of online news, including social posts, news reports, data from official public health channels and information supplied by doctors to track the coronavirus. "There's incredible data that's locked away in various tools like online news sites, social media, crowdsourcing, data sources, that you wouldn't think of that would be used for public health," said Dr. John Brownstein, chief innovation officer at Boston Children's Hospital. "But actually they have incredible amounts of information that you wouldn't find in any sort of traditional government system." "Whether it's social media, online news reports, blogs, chat rooms -- we're looking for clues about symptoms, reports of disease, that tell us something unique is happening," said Brownstein.

As cybersecurity threats to healthcare grow in number and severity, artificial intelligence is helping providers detect vulnerabilities and respond to data breaches faster and with greater precision. Given that 63 percent of organizations of all types don't have enough staff to monitor threats 24/7, according to a 2019 Ponemon report, the added defense is crucial. It's arguably even more important for the healthcare industry, whose data is often considered more valuable than Social Security and credit card numbers. As a healthcare tool, AI can help predict falls in seniors and identify early signs of sepsis. It's also poised to shape many other facets, from disease detection to administrative tasks.