Morgan P. Lorio, MD, FACS

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125 appearances 1 recordings 1 series first heard Mar 2026 last heard 27 Mar

Morgan P. Lorio, MD, FACS’s voice in public audio — every appearance, attributed to the second.

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Recordings per month over the last 12 months — 1 in all, peaking in Mar 2026 with 1.

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Becker’s Healthcare -- Spine and Orthopedic Podcast · AI in Spine Surgery: Preserving Clinical Judgment in a Data-Driven Era · 27 Mar 2026 podcast

In fact, journals are already starting to formalize this principle.

At the International Journal of Spine Surgery, new author guidelines make it clear that AI can assist with drafting or organization, but scientific judgment and clinical interpretation must remain human-led.

And over that time, that shapes what we collectively know, what we believe, and ultimately how we practice medicine.

AI systems apply filters, optimization rules, and administrative constraints

Capability will precede consent and adoption will precede reflection.

Most importantly, those filters can gradually direct the flow of conversation, emphasizing some questions while quietly discouraging others.

I can't emphasize how important and dangerous these filters are and may become.

When systems rewrite rather than carefully amend existing work,

Portions of the original meaning can quietly disappear.

The danger isn't censorship or deception.

The danger is continuous optimization where erosion of skills slowly becomes framed as efficiency.

And that matters in medicine because the way knowledge is framed ultimately shapes how diseases are defined, classified, and treated.

Sure.

Well, in spine care, this matters because chronic low back pain, as I mentioned, is not a single disease, for instance.

It includes multiple phenotypes, discogenic pain, vertebrogenic pain, sacroiliac dysfunction, multifidus muscle failure.

neuropathic and radicular pain and central sensitization patterns.

AI can help us recognize these phenotypes earlier and more consistently, but if surrounding systems favor simplified treatment pathways,

or if they narrow outcome metrics, those distinctions can gradually disappear from the conversation.

So the issue isn't simply whether AI helps analyze data, it's whether physicians remain actively engaged in shaping how knowledge itself is generated and applied.

Okay.

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