Skilled well being care professionals (THCPs), together with medical assistants, respiratory therapists, and nurses, with synthetic intelligence (AI) help can obtain lung ultrasound (LUS) photographs with diagnostic high quality that doesn’t differ considerably from that achieved by consultants, based on a research revealed on-line Jan. 15 in JAMA Cardiology.
Cristiana Baloescu, M.D., M.P.H., from the Yale College College of Medication in New Haven, Connecticut, and colleagues examined the power of AI to information acquisition of diagnostic-quality LUS photographs by THCPs in a multicenter diagnostic validation research. Members aged 21 years or older with shortness of breath recruited from 4 medical websites underwent two ultrasound examinations: one by a THCP operator utilizing Lung Steering AI and one by a skilled LUS knowledgeable with out AI. Earlier than participation, the THCPs underwent standardized AI coaching for LUS acquisition.
The researchers discovered that 98.3% of THCP-acquired research had been of diagnostic high quality, which didn’t differ considerably from LUS expert-acquired research (distinction, 1.7%; 95% confidence interval, −1.6 to five.0%).
“THCPs aided by AI achieved comparable performance to expert LUS users in acquiring images meeting diagnostic standards following brief software-focused training,” the authors write. “This technology has the potential to extend diagnostic capabilities to underserved areas lacking access to expert personnel.”
A number of authors disclosed ties to the pharmaceutical and well being care industries.
Extra info:
Cristiana Baloescu et al, Synthetic Intelligence–Guided Lung Ultrasound by Nonexperts, JAMA Cardiology (2025). DOI: 10.1001/jamacardio.2024.4991
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