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Computational Medicine: Past, Present and Future.

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Summary
This summary is machine-generated.

Computational medicine leverages computer models for disease simulation and treatment. Advances in technology, particularly GPUs, are driving its application in clinical research, diagnosis, and the innovative development of computational Chinese medicine.

Keywords:
artificial intelligencebig datacomputational Chinese medicinecomputational medicinemodel

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Area of Science:

  • Computational medicine
  • Medical informatics
  • Bioinformatics

Background:

  • Computational medicine utilizes computer models and software to simulate disease development and treatment.
  • Technological advancements in hardware, software, algorithms, and Graphics Processing Units (GPUs) have expanded computational applications in medicine.

Purpose of the Study:

  • To introduce the concepts and characteristics of computational medicine.
  • To review the developmental history and global research progress in computational medicine.
  • To explore clinical applications and future prospects, with a focus on computational Chinese medicine.

Main Methods:

  • Review of existing literature and research on computational medicine.
  • Discussion of historical development, including Digital Human models in Chinese medicine.
  • Analysis of current global research, clinical applications, and limitations.

Main Results:

  • Computational medicine is an emerging field with significant potential for revolutionizing clinical research and diagnosis.
  • Computer vision and mathematical biological modeling are key components driving progress.
  • Specific clinical applications and practical roles of biological models are emerging.

Conclusions:

  • Computational medicine, especially computational Chinese medicine, holds promising developmental prospects.
  • Addressing key problems and limitations is crucial for advancing the field.
  • The integration of computational approaches is set to transform medical research and practice.