
"A new study in Nature Medicine offers a glimpse of what happens when doctors work side by side with artificial intelligence. The trial compared ophthalmologists making diagnoses on their own to those using an AI copilot called EyeFM. The results were striking. Physicians with AI support reached a diagnostic accuracy of 92 percent, compared with 74 percent without it. This difference in diagnostic accuracy was reported as statistically significant with p < 0.001. And in this study, p might really stand for patient!"
"These differences, statistical and clinical, are not subtle. They suggest that AI can move clinical practice beyond incremental gains toward a fundamental shift in overall care. For patients, it means more confidence that their condition is being identified early and accurately. For clinicians, it means a trusted "tech partner" who can sharpen their clinical judgment in real time. And in the context of ophthalmology, this isn't simply the addition of a completely new dynamic but the expansion of an already tech-centric practice."
"Those treated in the AI-assisted arm of the study were more likely to comply with follow-up visits and to act on referral suggestions. That detail may seem secondary, but in practice, patient compliance is critical. A correct diagnosis matters little if a patient fails to provide the appropriate level of self- management. Here, the presence of AI seemed to reinforce trust and engagement and created a subtle but important change in how patients responded to their doctors."
An AI copilot named EyeFM increased ophthalmologist diagnostic accuracy from 74% to 92% (p < 0.001) when used alongside clinicians. Patient behavior improved in the AI-assisted arm, with higher follow-up compliance and greater adherence to referral recommendations. The AI presence appeared to increase patient trust and engagement, reinforcing self-management practices that complement accurate diagnoses. Clinicians gained a real-time, trusted technical partner that sharpened clinical judgment without replacing existing workflows. These effects suggest AI integration can shift clinical practice substantively and may extend beyond ophthalmology to broader medical specialties.
Read at Psychology Today
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