• Harvard Medical School, Johns Hopkins leaders join advisory board of AI startup

    Biotia, a startup combining next-generation DNA sequencing and artificial intelligence technology for precision detection and diagnosis of infectious disease, has raised $2.4 million in seed funding and expanded its scientific advisory board.
  • MemorialCare Innovation Fund joins $7M funding for nurse engagement AI platform

    Laudio, a software startup developing an automated, personalized platform to improve engagement between nurse managers and their teams, announced on Dec. 10 the close of its Series A financing round.
  • Harvard Law School researchers call for more regulation in medical AI

    Existing safeguards from the FDA and other regulatory bodies will require significant updates in order to maintain safety and ethics in healthcare's use of constantly "learning" adaptive artificial intelligence algorithms, according to an article published Dec. 6 in Science.
  • Leading health systems are unpacking the AI 'black box' problem

    Explainable models help move away from the black box nature of AI.
  • Google AI reads chest X-rays with 'expert-level accuracy'

    Members of Google Health's artificial intelligence team developed deep learning models able to detect four types of complications in chest radiographs with the same accuracy as expert radiologists, according to a study published Dec. 3 in the journal Radiology.
  • VA launches national AI institute: 4 things to know 

    The U.S. Department of Veterans Affairs last month launched the National Artificial Intelligence Institute, which applies AI research and developments to advance veterans' healthcare, according to a Dec. 5 news release. 
  • Beth Israel Deaconess team using AI to improve liver biopsies

    A non-invasive, machine learning-powered test developed by a team of endocrinologists from Boston-based Beth Israel Deaconess Medical Center can distinguish between various stages of liver disease with almost total accuracy, according to a new study.
  • DeepMind co-founder transitions to Google's applied AI team

    Mustafa Suleyman, co-founder of DeepMind, the health-focused artificial intelligence firm initially acquired by Google in 2014, is leaving his post to join Google's AI team, BBC News reports.
  • Facebook VP: AI is useful and rapidly advancing — 'but don't overhype it'

    Within its proprietary artificial intelligence lab, Facebook is not only developing features and apps to enhance the platform and its sister products Instagram and Whatsapp, but also building tools to fight bullying, fake news, deepfakes and other security issues.
  • AHA report: 4 keys to successful implementation of clinical AI

    An effective suite of artificial intelligence-powered clinical support tools requires far more than just the newest, most advanced technology, according to a new American Hospital Association report.
  • How to improve patient care and physician engagement with the right AI technology

    In 2018, 34 percent of Medicare beneficiaries — more than 20 million people — were enrolled in Medicare Advantage plans, according to an analysis conducted by the Kaiser Family Foundation. By 2028, the Congressional Budget Office projects the percentage of Medicare beneficiaries enrolled in Medicare Advantage plans to increase to 42 percent. For these patients, Risk Adjustment Factor, or RAF, scores determine how much Medicare pays for their medical services. Healthcare providers that aren't billing for chronic conditions may be leaving money on the table, since chronic conditions affect RAF scores.
  • Northwell launches AI chatbot to reduce colonoscopy no-shows

    Northwell Health introduced Dec. 3 a personalized chatbot to address misconceptions and concerns in patients scheduled to undergo colonoscopies at two of the New Hyde Park, N.Y.-based health system's hospitals.
  • Radiology AI startup launches with funding led by Google’s AI venture fund

    Rad AI, a developer of machine learning tools automating repetitive tasks for radiologists to reduce burnout and improve the speed and accuracy of their diagnoses, launched Nov. 25 with $4 million in seed funding, led by Google's Gradient Ventures.
  • Texas Medical Center- and Stanford-backed AI startup raises $17M

    Deep 6 AI, a startup developing artificial intelligence software to accelerate clinical trial design, recruitment and management, announced Nov. 25 the close of a $17 million Series A funding round.
  • Human-AI collaboration more effective than either working alone: Stanford study

    When the work of radiologists is augmented with artificial intelligence, the results outperform those of both radiologists and AI working independently, a recent study led by researchers from Stanford (Calif.) University School of Medicine found.
  • AI predicts seizures 1 hour before onset with 99.6% accuracy, study finds

    A deep learning model can predict epileptic seizures up to an hour in advance with near-perfect accuracy, according to a recent study from researchers at the University of Louisiana at Lafayette.
  • Novartis launches program with Biofourmis for AI monitoring of heart failure patients

    Novartis has selected artificial intelligence-powered digital therapeutics company Biofourmis for a commercial project leveraging predictive analytics for early intervention in patients with low ejection fraction.
  • AI to have major effects on better-paid, higher-educated workers: 5 things to know

    Contrary to the common thought that artificial intelligence will dramatically replace low-wage, factory occupations, the technology will have its greatest affects on higher-paid and higher-educated workers, according to a Brookings report.
  • AI not likely to replace physicians, experts say

    Although technology and artificial intelligence is helping physicians, the tools will ultimately not replace clinicians, according to a panel of physicians and health executives interviewed by CNBC.
  • Novant Health deploys AI platform to predict, improve patient flow

    Winston-Salem, N.C.-based Novant Health has tapped KenSci's artificial intelligence-powered platform to provide predictive insights that will be used to improve efficiency, patient satisfaction and overall care quality and outcomes.
  • AI assists with early ovarian cancer detection

    Software company TPP has developed artificial intelligence that can help oncologists detect ovarian cancer earlier than physicians, according to CNBC.

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