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February 08, 2024
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Ophthalmology on the brink of digital innovation in AI, machine learning

Ophthalmology on the brink of digital innovation in AI, machine learning

Common sight-threatening retinal diseases seen by all comprehensive ophthalmologists include wet age-related macular degeneration, geographic atrophy and diabetic macular edema.

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February 08, 2024
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AI in retina moving toward real-world practice

AI in retina moving toward real-world practice

Retinal diseases are a major cause of severe vision loss, with numbers constantly increasing due to the aging of the population, the diabetes epidemic and the growing prevalence of high myopia.

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January 22, 2024
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AI performs ‘exceptionally well’ predicting post-PCI outcomes

AI performs ‘exceptionally well’ predicting post-PCI outcomes

Researchers at University of Michigan Health developed an artificial intelligence model to accurately assess risk for post-procedural outcomes after PCI.

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January 18, 2024
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Machine learning predicts osteoporosis in patients with rheumatoid arthritis

Machine learning predicts osteoporosis in patients with rheumatoid arthritis

Machine learning algorithms can be effective in predicting osteoporosis among patients with rheumatoid arthritis, as well as identifying new predictive factors, according to data published in Nature Scientific Reports.

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December 13, 2023
4 min read
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Artificial intelligence counts, classifies pollen grains

Artificial intelligence counts, classifies pollen grains

ANAHEIM, Calif. — An artificial intelligence model counted and classified grains of pollen almost as accurately as a human being, according to a poster at the American College of Allergy, Asthma & Immunology Annual Scientific Meeting.

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October 31, 2023
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Machine learning model most accurately predicts levels of cognitive impairment

Machine learning model most accurately predicts levels of cognitive impairment

An artificial intelligence-based machine learning model that diagnosed cognitive impairment in Alzheimer’s disease extracted information more accurately than standard screening or human analysis, according to a poster presentation at CTAD.

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October 27, 2023
6 min read
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Understanding artificial intelligence bias in pulmonology

Understanding artificial intelligence bias in pulmonology

Last year, I partnered with colleagues at the National Institute of Standards and Technology, or NIST, to examine the challenges represented by artificial intelligence bias and identify some preliminary guidance for addressing them.

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October 18, 2023
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AI model accurately predicts atrial fibrillation within 1 month of sinus rhythm

AI model accurately predicts atrial fibrillation within 1 month of sinus rhythm

With nearly 90% accuracy, an artificial intelligence-based model consistently predicted atrial fibrillation within 31 days among patients with sinus rhythm, according to findings published in JAMA Cardiology.

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October 13, 2023
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FDA clears next-generation AI-powered ECG monitoring device

FDA clears next-generation AI-powered ECG monitoring device

InfoBionic announced it received FDA 510(k) clearance for its next-generation remote ECG monitoring device with a Bluetooth diagnostic six-lead sensor for patients who require cardiac monitoring.

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October 03, 2023
4 min read
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Q&A: Preventing further harm in pediatric patients on ventilation with machine learning

Q&A: Preventing further harm in pediatric patients on ventilation with machine learning

For children in critical condition who struggle to breathe, ventilators are essential machines; however, it is important to recognize that they may unintentionally hurt the patient.

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