Journal of Urgent Care Medicine

AI Model Triages Primary Care Cases To Specialty Care

In a study published in JAMA Network Open, researchers developed an artificial intelligence (AI) model and tested its ability to assist in triaging referrals from primary care to specialized care. Evaluated against a reference standard, the AI tool achieved good overall accuracy of 0.716 (95% confidence interval [CI], 0.694-0.737) of referrals with high specificity (0.801, 95%CI, 0.777-0.822) but lower sensitivity (0.542, 95%CI, 0.501-0.582). In other words, the AI model correctly classified 71.6% of referrals while …

AI Tools May Take Some Tasks Off The Radiologist’s Hands

A review published last week in Health and Technology found that AI can read and interpret images more effectively and faster than radiologists, suggesting that AI could help make impact on today’s radiologist shortage. Even so, the industry must be mindful of the ethical and legal implications of AI use. To be clear, the authors state that AI can’t replace human radiologists but rather that AI tools can complement their work, offer guidance, and assist …

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