Ravi David Yarid, DO, assistant professor of osteopathic manipulative medicine at PCOM Georgia and a member of the American Osteopathic Information Association’s Digital Health Innovation Steering Committee, provides insight into AI’s impact on osteopathic medicine.
AI thrives on data, which holds immense potential in medicine. AI can help uncover correlations and trends in treatment efficacy, it can personalize medical education, and even provide deeper insights into osteopathic manipulative medicine (OMM).
AI-driven predictive modeling enhances disease prevention strategies, while personalized treatment plans can be optimized in real-time with up-to-the-minute evidence-based medicine. Additionally, AI holds promise for expanding osteopathic care into rural and underserved areas, addressing disparities in healthcare access.
The osteopathic profession must ensure that healthcare data remains controlled by those who generate it. By preventing corporate monopolization, the osteopathic profession can establish an ethical framework that ensures AI benefits all stakeholders, rather than prioritizing profit over care.
Much of today’s AI-driven healthcare development is corporate-led, often sidelining the patient-first, holistic approach central to osteopathic medicine. The profession can ensure alignment and growth from its foundational philosophy by developing its own AI models rooted in osteopathic principles and practices.
An AI governance framework which focuses on transparency, accountability and patient-centered solutions is essential. This model should ensure compliance with data security regulations while fostering innovation that aligns with osteopathic values.
AI-powered training tools, decision-support systems and patient engagement platforms can transform osteopathic education and practice. Early integration of AI into osteopathic medical schools can set the standard for responsible AI use in medicine.
Rather than replacing hands-on osteopathic care, AI can enhance it. AI-driven diagnostics and predictive insights can improve treatment precision, while AI-assisted education can provide customized learning experiences for students, allowing faculty to focus on knowledge comprehension and provider skill training.
AI-powered research can unlock new insights into the efficacy of OMM, identifying patterns that further validate osteopathic approaches. Integrating AI into medical education can foster the next generation of DOs equipped with advanced analytical tools.
Osteopathic medicine has always prioritized treating the whole person. With appropriate and responsible integration, AI enhancement of medical education and practice will position osteopathic medicine as the gold standard in ethical, data-driven health care. Now is the time for osteopathic leaders to guide AI’s development, ensuring it serves the profession’s mission of advancing education, research and patient care for the betterment of all.
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