Toronto Academy of Osteopathy
About Toronto Academy of Osteopathy
The primary goal of Toronto Academy of Osteopathy (TAO) is to educate students to become osteopaths who practice within osteopathic concept. Additionally, the academy s goal is to educate and develop primary care providers who will practice in the osteopathic tradition. The Academy encourages it’s students to participate in research and life-long learning to further advance his or her chosen profession.
TAO Programs are accredited by Ontario Federation of Osteopathic Professionals (www.ofop.ca).
Can Artificial Intelligence Replace Osteopathic Manual Practitioners?
AI-assisted opinion commentary • 9 October 2026
Artificial intelligence is changing how information is gathered, explained and applied in healthcare. For osteopathic manual practitioners, it raises an important question: could AI eventually replace the practitioner?
Our view is that AI will increasingly assist with—and sometimes automate—parts of professional practice. Complete replacement of hands-on practitioners, however, appears unlikely in the foreseeable future. This is an opinion about an uncertain future, not an established prediction.
Where AI can help?
AI can help draft clinical notes, organize information, explain terminology, summarize research and develop educational materials. It can also suggest questions or possible explanations for a practitioner to consider.
The World Health Organization identifies potential applications in clinical support, administration, education and research. It also warns that AI can produce inaccurate, biased or incomplete information. Fluent language and confident answers do not guarantee clinical accuracy.
Why the practitioner remains important?
Osteopathic manual practice involves direct interaction with a person: taking a history, examining movement and function, performing appropriate hands-on assessment, and monitoring responses to care.
A conversational AI system cannot independently perform that physical examination or deliver manual treatment. It works from the information it receives, which may omit findings that become apparent during an in-person consultation.
The practitioner also remains responsible for obtaining informed consent, working within professional scope, recognizing warning signs and arranging referral when necessary. Listening, explaining uncertainty and respecting the patient’s preferences remain essential parts of care.
Hands-on assessment and clinical experience must themselves be critically evaluated. Neither human intuition nor an AI-generated explanation should be treated as proof that a diagnosis or treatment is correct.
Preparing for the future
Robotics and sensing technologies may eventually automate additional aspects of assessment and treatment. Their role should depend on evidence of safety, effectiveness and benefit to patients.
For osteopathic education and professional development, the practical response is to teach responsible AI use alongside anatomy, clinical reasoning, examination skills, communication and evidence-informed care. Practitioners should verify AI outputs and protect patient confidentiality when using digital tools.
The aim should be better care: technology that supports sound judgment, reduces administrative work and leaves more time for careful attention to the patient.
Source: World Health Organization, “WHO releases AI ethics and governance guidance for large multi-modal models”, 18 January 2024.
This article was prepared with AI assistance for professional discussion. It is an opinion commentary, not a clinical guideline.
