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Mashup Score: 0
Researchers have designed a new AI-powered pathological recognition program that can identify signs of colorectal cancer as well as human specialists, sharing their findings in Nature Communications. The team trained its program with more than 13,000 whole slide images of colorectal cancer from…
Source: AI in HealthcareCategories: Healthcare Professionals, Latest HeadlinesTweet
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Mashup Score: 0Americans wary of face recognition technology in healthcare - 3 year(s) ago
Only two-thirds of U.S. healthcare consumers are OK with surgeons using digital facial recognition to avoid medical error by confirming patient identity. And less than half would greenlight the technology for researchers using diversified image data to advance precision medicine. These are two key findings from a survey-based study published…
Source: AI in HealthcareCategories: Healthcare Professionals, Latest HeadlinesTweet
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Mashup Score: 3AI finds forgotten surgical instruments in patients’ bodies - 3 year(s) ago
Noting that surgical sponges account for 70% of instruments and supplies that inadvertently get left behind in patients’ bodies, researchers say they’ve designed AI software that can flag these “retained” items with good to excellent accuracy. The work was conducted at Nagasaki University in Japan…
Source: AI in HealthcareCategories: Latest Headlines, SurgeryTweet
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Mashup Score: 1Pediatric patients engaged in VR much less troubled by pain - 3 year(s) ago
Virtual reality was highly effective at distracting young patients experiencing physical pain during a recent randomized trial, according to a study published Aug. 25 in JAMA Network Open. What’s more, the stress reduction extended to accompanying parents as well as clinicians administering the…
Source: AI in HealthcareCategories: Healthcare Professionals, Latest HeadlinesTweet
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Mashup Score: 03 noteworthy developments in emerging medical technologies - 3 year(s) ago
While big breakthroughs in healthcare AI seem to have slowed in recent weeks, those involving other hot technologies have kept the content coming for publishers of peer-reviewed medical journals. Here are three such innovations that caught our eye in recent weeks. 1. A wearable strain sensor that functions like “electronic skin” to monitor joint motion and breathing cycles. Researchers at the…
Source: AI in HealthcareCategories: Future of Medicine, Latest HeadlinesTweet
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Mashup Score: 0
True or false? Each time a software developer significantly updates an FDA-approved Software as a Medical Device product, the SaMD faces possible re-review by the agency. Answer: True, albeit leaning hard on possible with a caveat: The stringency of the evaluation process depends on the device’s risk classification and the nature of the change. So reminds the Pew organization in a meaty primer…
Source: AI in HealthcareCategories: Healthcare Professionals, Latest HeadlinesTweet
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Mashup Score: 2Deep learning picks out sickened faces with 100% sensitivity - 3 year(s) ago
Researchers have piloted a deep learning algorithm that can recognize visual cues of sickness, also known as “clinical gestalt,” in facial photos. The team trained the model on 126 photos of healthy individuals in the Chicago Face Database and 26 photos that were digitally manipulated to make members of that subset appear acutely ill. They externally validated the algorithm on photos of 22…
Source: AI in HealthcareCategories: Cardiologists, Latest HeadlinesTweet
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Mashup Score: 13 US startups named healthcare technology pioneers of 2020 - 3 year(s) ago
The World Economic Forum has released its 2020 list of 100 tech companies from which to expect big things. Seven of the 100 are in healthcare and, of these, three are based in the U.S. The WEF list of “technology pioneers” highlights growth-stage companies from around the world that the organization believes are “poised to make a significant impact on business and society.” Making the cut in…
Source: AI in HealthcareCategories: Cardiologists, Latest HeadlinesTweet
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Mashup Score: 1Kidney stones relatively easy marks for AI-guided shockwaves - 3 year(s) ago
AI-aimed blasting of kidney stones from outside the body hit intended targets at a 75% clip in a proof-of-concept study, pulverizing conventional lithotripsy, which missed the mark almost half the time. The demonstration may have influence beyond its small sample, 11 patients, because the procedure—extracorporeal shock wave lithotripsy (ESWL)—has been losing ground to other treatments that are…
Source: AI in HealthcareCategories: Latest Headlines, UrologyTweet
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Mashup Score: 0US public OK with AI for heart, cancer, anxiety care—AI video pain monitoring, not so much - 3 year(s) ago
An online survey completed by more than 900 U.S. adults reveals an overall openness to AI for several scenarios in healthcare. The results likely reflect the makeup of the self-selected participant field, which skewed white, healthy, college-educated and youngish: Although respondents spanned 18 to 83 years old, the mean age was 37. Still, the study’s authors suggest, the research succeeds in…
Source: AI in HealthcareCategories: Future of Medicine, Latest HeadlinesTweet
AI system successfully IDs colorectal cancer in whole slide images as well as humans https://t.co/PUBpbVBjSR https://t.co/5hvjBRR79S