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Enhancing neuro-ophthalmic surgical education: The role of neuroanatomy and 3D digital technologies – An overview
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Background:

Neuro-ophthalmology, bridging neurology and ophthalmology, highlights the nervous system’s crucial role in vision, encompassing afferent and efferent pathways. The evolution of this field has emphasized the importance of neuroanatomy for precise surgical interventions, presenting educational challenges in blending complex anatomical knowledge with surgical skills. This review examines the interplay between neuroanatomy and surgical practices in neuro-ophthalmology, aiming to identify educational gaps and suggest improvements.

Methods:

A literature search across databases such as PubMed, Scopus, and Web of Science was conducted, focusing on the implications of neuroanatomy in neuro-ophthalmic surgery education and practice. The review synthesizes insights from both recent and foundational studies to highlight current understandings and future research directions, particularly in educational approaches.

Results:

Findings indicate that 3D digital modeling and virtual reality have significantly enhanced neuroophthalmic surgical education by providing immersive and engaging learning experiences. For instance, detailed 3D brain atlases offer comprehensive resources for understanding the central nervous system’s normal and pathological states. Although studies show that 3D and traditional 2D methods achieve similar post-test results, 3D methods notably improve engagement and motivation, suggesting a shift toward more interactive learning environments.

Conclusion:

Integrating both traditional and innovative educational tools is crucial for the progression of neuro-ophthalmic surgical training. This balance helps overcome educational hurdles and better prepare future surgeons. Continuous research and collaboration are essential to refine educational strategies, ultimately aiming to enhance patient care in neuro-ophthalmology.

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RELIABLE ITERATIVE METHODS FOR SOLVING 1D, 2D AND 3D FISHER’S EQUATION
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In the present paper, three reliable iterative methods are given and implemented to solve the 1D, 2D and 3D Fisher’s equation. Daftardar-Jafari method (DJM), Temimi-Ansari method (TAM) and Banach contraction method (BCM) are applied to get the exact and numerical solutions for Fisher's equations. The reliable iterative methods are characterized by many advantages, such as being free of derivatives, overcoming the difficulty arising when calculating the Adomian polynomial boundaries to deal with nonlinear terms in the Adomian decomposition method (ADM), does not request to calculate Lagrange multiplier as in the Variational iteration method (VIM) and there is no need to create a homotopy like in the Homotopy perturbation method (H

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