Radiation Oncology/Artificial neural network

  • A recent survey of AI applications in health care reported uses in major disease areas such as cancer or cardiology and artificial neural networks (ANN) as a common machine learning technique
  • Applications of ANN in health care include clinical diagnosis, prediction of cancer, speech recognition, prediction of length of stay, image analysis and interpretation (e.g. automated electrocardiographic (ECG) interpretation used to diagnose myocardial infarction), and drug development
  • Non-clinical applications have included improvement of health care organizational management, prediction of key indicators such as cost or facility utilization
  • ANN has been used as part of decision support models to provide health care providers and the health care system with cost-effective solutions to time and resource management

Most important types of neural networks that form the basis for most pre-trained models in deep learning:

Deep LearningEdit

  • Jürgen Schmidhuber. Neural Netw. 2015 Jan. Deep learning in neural networks: an overview (PMID: 25462637)

Machine LearningEdit

  • Michael Rowe. Acad Med. 2019 Oct.

An Introduction to Machine Learning for Clinicians (PMID: 31094727)

  • Yalin Baştanlar et al. Methods Mol Biol. 2014. Introduction to machine learning (PMID: 24272434)
  • Jenni A. M. Sidey-Gibbons and Chris J. Sidey-Gibbons. Machine learning in medicine: a practical introduction (PMID: 30890124)

Artificial IntelligenceEdit

  • Rene Y Choi et al. Transl Vis Sci Technol. 2020. Introduction to Machine Learning, Neural Networks, and Deep Learning (PMID: 32704420)