Artificial intelligence guided imaging as a tool to fill gaps in health care delivery.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 40325152.
- Also identified by DOI 10.1038/s41746-025-01613-2 and PMC identifier 12053551.
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Abstract
Deep vein thrombosis (DVT) causes significant morbidity/mortality and timely diagnosis often via ultrasound is critical. However, the shortage of trained ultrasound providers has been an ongoing challenge. Recently, Speranza and colleagues (2025) demonstrated that an artificial intelligence (AI) guided ultrasound system used by non-ultrasound-trained nurses with remote clinician review can achieve sensitivities of 90–98% and specificities of 74–100% for diagnosing DVT. This study highlights the potential for AI guided imaging to address important gaps in health care delivery.