TIBBIY VA BIOLOGIK FIZIKANI OʻQITISHDA MONODISKIPLINAR YONDASHUV, CHEKLOVLARI VA INTERDISTSIPLINAR INTEGRATSIYA ZARURATI
Keywords:
Kalit So‘zlar: Monodisciplinar yondashuv, Tibbiy fizika, Biologik fizika, Interdistsiplinar integratsiya, Nernst Potensiali, Radiatsiya dozimetriyasi, Virtual Haqiqat (VR), Sunʼiy Intellekt (AI), Hujayraviy dinamika, Kompleks fikrlash., Keywords; Monodisciplinary approach, Medical physics, Biological physics, Interdisciplinary integration, Nernst Potential, Radiation dosimetry, Virtual Reality (VR), Artificial Intelligence (AI), Cellular dynamics, Complex thinking.Abstract
Annotatsiya: Tibbiyot taʼlimida fizika, biologiya va klinik fanlarning monodisciplinar (yakka fanli) yondashuv asosida ajratib oʻqitilishi, talabalarning murakkab biologik jarayonlarning fizik asoslarini tushunishiga toʻsqinlik qilmoqda. Bu maqola Monodisciplinar yondashuvning hujayraviy dinamika (masalan, ion kanallari, diffuziya) va radiologik diagnostika (masalan, MRI, KT) tahlilidagi cheklovlarini koʻrib chiqadi. Tadqiqotda Tibbiy va Biologik Fizikani oʻqitishdagi bu uzilishlarni bartaraf etish uchun vertikal va gorizontal integratsiya strategiyalari asoslanadi. Xususan, Fizikaga Asoslangan Sunʼiy Intellekt (AI) va Virtual Haqiqat (VR) kabi texnologiyalar yordamida Nernst Potensiali yoki Radiatsiya Dozimetriyasi kabi fundamental prinsiplarni klinik kontekstda oʻrgatish usullari koʻrsatilgan. Abstract: The separation of physics, biology, and clinical sciences within medical education, based on a monodisciplinary approach, obstructs students' understanding of the fundamental physical basis of complex biological processes. This article examines the limitations of the monodisciplinary approach in analyzing cellular dynamics (e.g., ion channels, diffusion) and radiological diagnostics (e.g., MRI, CT). The study advocates for vertical and horizontal integration strategies to bridge these disconnects in Medical and Biological Physics education. Specifically, it highlights methods for teaching fundamental principles such as the Nernst Potential or Radiation Dosimetry in a clinical context, utilizing technologies like Physics-Informed Artificial Intelligence (AI) and Virtual Reality (VR).Downloads
Published
2025-12-12
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