Artificial Intelligence in Healthcare

AI, Machine Learning, and Deep and Intelligent Medicine Simplified for Everyone

Academic Edition, Chapter 52 - References/Further Reading

 

  1. Burki TK. The role of AI in diagnosing lung diseases. The Lancet Respiratory Medicine. 2019 Dec 1;7(12):1015– [6]
  2. The role of artificial intelligence in pulmonary imaging: clinician interview. Pulmonology Advisor. 2020. Available from: https://www.pulmonologyadvisor.com/home/general-pulmonology/the-role-of-artificial-intelligence-in-pulmonary-imaging-clinician-interview/
  3. Rabbani M, Kanevsky J, Kafi K, Chandelier F, Giles FJ. Role of artificial intelligence in the care of patients with nonsmall cell lung cancer. European Journal of Clinical Investigation. 2018;48[4]: e1290[1]
  4. Cui S, Ming S, Lin Y, Chen F, Shen Q, Li H, et al. Development and clinical application of deep learning model for lung nodules screening on CT images. Scientific Reports. 2020 Aug 12;10[1]:1365[7]
  5. Sathyakumar K, Munoz M, Singh J, Hussain N, Babu BA. Automated lung cancer detection using artificial intelligence (Ai) deep convolutional neural networks: a narrative literature review. Cureus. ;12[8]. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518939/
  6. Topalovic M, Das N, Burgel P-R, Daenen M, Derom E, Haenebalcke C, et al. Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function tests. Eur Respir J. 2019;53[4].