<p>Computer-aided applications in medicine and biomedicine drive the advancement of diagnostics, treatment, and research by leveraging data processing, analysis, and innovation. Computer technologies are used in medicine in imaging, diagnosis, storing and processing information, and staff management. The review will organize these progressions by significant features, which are medical imaging, diagnostic systems, data management, and their impact on daily clinical work. It explores diverse computer applications in medicine, including simulations, modeling, data visualization, and advanced data processing. Pattern classification techniques, decision support systems, and the integration of supercomputers—particularly in drug development—are discussed, alongside natural user interfaces and the application of Computer Methods and Programs in Biomedicine, with attention to human–computer interface integration. Modern computer-based imaging modalities like CT and MRI are also examined in detail, as are clinical applications of CAD for improving medical procedures. Lastly, the review projects future trends in cost-effective, high-quality telemedicine, remote consultations, integrated health records, computer-based learning, and disease management. Overall, this comprehensive discussion highlights the multifaceted impact of computing on the continued evolution of healthcare.</p>

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Computer-Aided Application in Medicine and Biomedicine

  • Qi-Ming Liao,
  • Wahab Hussain,
  • Zhong-Xia Liao,
  • Sarfraz Hussain,
  • Zhi-Liang Jiang,
  • Yong-Hao Zhu,
  • Huang-Yin Luo,
  • Xin-Ying Ji,
  • Hong-Wei Wen,
  • Dong-Dong Wu

摘要

Computer-aided applications in medicine and biomedicine drive the advancement of diagnostics, treatment, and research by leveraging data processing, analysis, and innovation. Computer technologies are used in medicine in imaging, diagnosis, storing and processing information, and staff management. The review will organize these progressions by significant features, which are medical imaging, diagnostic systems, data management, and their impact on daily clinical work. It explores diverse computer applications in medicine, including simulations, modeling, data visualization, and advanced data processing. Pattern classification techniques, decision support systems, and the integration of supercomputers—particularly in drug development—are discussed, alongside natural user interfaces and the application of Computer Methods and Programs in Biomedicine, with attention to human–computer interface integration. Modern computer-based imaging modalities like CT and MRI are also examined in detail, as are clinical applications of CAD for improving medical procedures. Lastly, the review projects future trends in cost-effective, high-quality telemedicine, remote consultations, integrated health records, computer-based learning, and disease management. Overall, this comprehensive discussion highlights the multifaceted impact of computing on the continued evolution of healthcare.