摘要Invasive laser acupuncture(ILA)is an innovative integration of traditional acupuncture with precise laser stimulation delivered directly into acupoints,yet it is not widely used in clinical practice and lacks exten-sive clinical studies.In the era of digital healthcare and patient-specific treatment,computational predic-tive models have become essential tools for optimizing medical procedures and ensuring treatment safety.However,existing computational models for laser-based therapies primarily focused on skin sur-face treatments or ablation procedures,creating a significant gap in understanding unique characteristics of ILA.This study addressed this challenge by developing and validating a novel computational predictive model that incorporates the geometric characteristics of needle-integrated optical fiber delivery.The model was validated through ex vivo experiments using a 650 nm laser device,demonstrating good agreement in temporal temperature changes at the irradiation point with an average difference of 11.6%.Using this validated model,systematic investigation of ILA responses to varying laser parameters was conducted to analyze the photothermal effects in tissue.These quantitative insights into the relation-ships between laser parameters and photothermal responses provided a foundation for evidence-based selection of treatment parameters.This computational framework contributes to the advancement of ILA therapy by enabling more precise control of therapeutic outcomes and supporting the development of safety protocols.