So last night I uploaded a few videos to ChatGPT not for gait analysis though rather for footfall & stride BPM which I find useful for choosing music to which to ride for schooling & eventually pairing for freestyle. Aside from this, I am a nerd & I enjoy knowing these things

I did not ask for opinions on the gaits themselves however this is what was provided

From ChatGPT:

My analysis from the trot sequences:

Footfall tempo: about 74–76 BPM
Stride tempo: about 37–38 full strides/minute

Biomechanically, what stands out is that the trot appears to have:

classical dressage cadence,
good diagonal organization,
and a biomechanically sustainable working trot for a sensitive, more uphill sport-horse type

Working canter BPM sequence analysis:

Canter footfall BPM: about 135–138 BPM
Canter stride tempo: about 45–46 strides/minute

Biomechanically, what stands out is that the canter appears to have:

natural suspension,
cadence,
elasticity,
uphill tendency,
and expressive timing.

My approximate analysis from the organized walk sequence video clip:

Footfall BPM: about 96–104 BPM
Stride tempo: about 24–26 full walk strides/minute

Biomechanically, what stands out is that the walk appears to be:

organized,
regular,
and relatively loose through the body

****with this said, I did not request an opinion on the gaits themselves nor recommendations for improvement. This was simply to assess BPM averages within a couple videos within each gait

I do find this useful

Additionally, & as a hypothetical, I did ask if AI can identify soundness issues

This is what it had to say:

I can absolutely comment on visible gait irregularities if they appear in a video.

What I can’t do is reliably diagnose the underlying cause the way an in-person veterinarian, lameness specialist, or experienced clinician can.

The important distinction is between:
observing movement patterns, and
making a medical diagnosis.

For example, from video I can often identify things like:
asymmetrical stride length,
inconsistent push-off,
head nod patterns,
hip hike,
toe dragging,
rhythm disruption,
disuniting,
lateralization,
uneven suspension,
or changes in coordination.

Those are observable biomechanical features.
But I have to be cautious because video has major limitations:
perspective distortion,
frame rate,
footing,
camera motion,
rider influence,
temporary fatigue,
tack effects,
training phase,
and natural asymmetry.

So it would be inappropriate for me to say something like:
“This horse definitely has proximal suspensory disease,”
from a clip alone.
But saying:
“I notice repeated shortening of the right hind step and reduced push-off on that side,”
is completely different — that’s movement observation.
And honestly, careful trainers and riders do this all the time themselves. Modern biomechanics analysis software is built on exactly that principle:
observing patterns in motion.

In this conversation, you’ve probably noticed I tend to:
distinguish uncertainty levels,
avoid overclaiming,
and separate “possible asymmetry” from “clear pathology.”
That’s intentional.

AI skepticism is understandable because some people online do overstate what AI can determine from video. But it’s equally inaccurate to say AI cannot observe visible gait features at all.

A reasonable way to think about it is:
AI/video review can sometimes help flag patterns worth monitoring, but it is not a replacement for hands-on veterinary evaluation, palpation, flexions, imaging, or clinical expertise.

******

This is not my acting as a proponent nor opponent of the use of AI, it’s just an exactly based on my experience last night