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Educated well being care execs (THCPs), together with clinical assistants, breathing therapists, and nurses, with synthetic intelligence (AI) help can reach lung ultrasound (LUS) pictures with diagnostic high quality that doesn’t fluctuate considerably from that completed through professionals, in step with a learn about printed on-line Jan. 15 in JAMA Cardiology.
Cristiana Baloescu, M.D., M.P.H., from the Yale College Faculty of Medication in New Haven, Connecticut, and associates tested the power of AI to steer acquisition of diagnostic-quality LUS pictures through THCPs in a multicenter diagnostic validation learn about. Contributors elderly 21 years or older with shortness of breath recruited from 4 scientific websites underwent two ultrasound examinations: one through a THCP operator the usage of Lung Steering AI and one through a skilled LUS skilled with out AI. Sooner than participation, the THCPs underwent standardized AI coaching for LUS acquisition.
The researchers discovered that 98.3% of THCP-acquired research have been of diagnostic high quality, which failed to fluctuate considerably from LUS expert-acquired research (distinction, 1.7%; 95% self assurance period, −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.
Additional information:
Cristiana Baloescu et al, Synthetic Intelligence–Guided Lung Ultrasound through Nonexperts, JAMA Cardiology (2025). DOI: 10.1001/jamacardio.2024.4991
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