Systems and methods for AI-gating photomodulation
OwnerMichael Reynardinventor
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Abstract
An AI-controlled photonic system that performs therapeutic photomodulation and reflective optical diagnostics, including OCT, OCTA, near-infrared reflectance, and fundus autofluorescence, is described here. The system incorporates an AI-Predictive Gating module that identifies optimal temporal windows for energy delivery or data acquisition based on reflectance dynamics, retinal motion, physiologic parameters, mitochondrial biomarkers, and image-quality metrics. By synchronizing photonic emission and diagnostic capture to predicted physiologic states, the system improves diagnostic fidelity, enhances therapeutic precision, and enables earlier detection of degenerative, inflammatory, and pharmacologic retinal injury.
Claims29
A system for AI-Gating photonic interaction with ocular tissue, comprising:
- at least one optical modality that acquires real-time input signals from the ocular tissue;
- one or more processors that receive the real-time input signals and store the real-time input signals as historical input signals;
- a predictive model executed by the one or more processors that forecasts a future interval of physiologic stability of the ocular tissue based on temporal patterns in the real-time input signals and the historical input signals, where the physiologic stability exhibits transient plateau behavior;
- and
- an AI-Gating engine executed by the one or more processors that generates a gating signal that regulates acquisition only during the future interval, wherein the gating signal optimizes operation of the at least one optical modality.
A system for AI-Gating control of photonic delivery, comprising:
- at least one optical modality that acquires real-time input signals from ocular tissue;
- one or more processors that receive the real-time input signals and store the real-time input signals as historical input signals;
- a predictive model executed by the one or more processors to forecast a future interval of physiologic stability of the ocular tissue based on temporal patterns in the real-time input signals and the historical input signals, where the physiologic stability exhibits transient plateau behavior;
- and
- an AI-Gating engine executed by the one or more processors that generates a gating signal that regulates photonic output only during the future interval, wherein the gating signal optimizes biologic receptivity or safety of the photonic delivery.
A method for operating an ophthalmic imaging system, comprising:
- receiving real-time optical signals from ocular tissue;
- analyzing the real-time optical signals together with historical data to predict a future temporal interval of physiologic stability wherein forecasting is based on physiologic signals exhibiting transient plateau behavior;
- generating a gating signal based on the future temporal interval;
- and
- regulating delivery only during the future temporal interval to improve effective diagnostic performance.
A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the instructions to:
- receive at least one of real-time ocular optical inputs and real-time ocular physiologic inputs;
- forecast a future interval of stability using a predictive model, where the stability exhibits transient plateau behavior;
- and
- issue, through an AI-Gating engine, a gating signal that controls photonic activation only during the future interval.
Dependencies are inferred from the claim text.