عنوان	Modeling and simulation of laser light propagation in eye tissues using physics-informed neural networks for optimizing laser therapy
نوع پژوهش	مقاله ارائه شده
کلیدواژه‌ها	Physics-Informed Neural Networks, The Radiative Transfer Equation, boundary conditions
چکیده	Light transport in ocular tissues is critical for optimizing laser therapies in medical physics. The complex structure of tissues complicates accurate modeling. The Radiative Transfer Equation (RTE) describes light propagation, accounting for scattering and absorption. Solving RTE numerically is challenging, but Physics-Informed Neural Networks (PINNs) offer a promising solution by integrating physical laws with machine learning. This study employs PINNs to model light transport in the cornea, enhancing accuracy and efficiency.
پژوهشگران	علیرضا عبدی کیان (نفر دوم)، هستی عبدالرسولی (نفر اول)، فاطمه نصرالهی (نفر سوم)