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However, recent studies have explored the combination of LLM-generated prompts with a vision foundation model to perform zero-shot image segmentation, such as in the text-visual-prompt segment anything model (TV-SAM) algorithm incorporating GPT-4, the grounded language-imaging pre-training model, and the segment anything vision language model [36].
JMIR Form Res 2025;9:e70863
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Optimizing the Postcataract Patient Journey Using AI-Driven Teleconsultation: Prospective Case Study
JMIR Form Res 2025;9:e72574
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On each day of the closed-loop intervention, denoted by k, mixed-integer quadratic programming is used to make personalized intervention decisions by solving the optimization problem in equation 2 subject to the logical and categorical constraints presented in equation 3 and the following input and output constraints:
ymin – Ψk + j ≤ yk + j ≤ ymax + Ψk + j, j=1,...p
umin ≤ uk + i ≤ umax, i=0,1,...m-1
Δumin ≤ Δuk + i ≤ Δumax, i=0,1,...m-1
Ψk + J ≥ 0, j=1,...p
Variations in the control strategies are implemented
JMIR Res Protoc 2025;14:e70599
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