Artificial Intelligence in Healthcare

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

Academic Edition, Chapter 38 - References/Further Reading

General Edition, Chapter 20 - References/Further Reading

 

  1. Method for detecting arthritis and cartilage damage using magnetic resonance sequences [Internet]. [cited 2020 Dec 7]. Available from: https://patents.google.com/patent/US20160213278A1/en
  2. Tajmir SH, Lee H, Shailam R, Gale HI, Nguyen JC, Westra SJ, et al. Artificial intelligence-assisted interpretation of bone age radiographs improves accuracy and decreases variability. Skeletal Radiol. 2019 Feb;48(2):275–83.
  3. Kim JS, Arvind V, Oermann EK, Kaji D, Ranson W, Ukogu C, et al. Predicting surgical complications in patients undergoing elective adult spinal deformity procedures using machine learning. Spine Deform. 2018 Dec;6(6):762–70.
  4. Tack C. Artificial intelligence and machine learning | applications in musculoskeletal physiotherapy. Musculoskelet Sci Pract. 2019;39:164–9.
  5. Ames CP, Smith JS, Pellisé F, Kelly M, Alanay A, Acaroğlu E, et al. Artificial intelligence based hierarchical clustering of patient types and intervention categories in adult spinal deformity surgery: towards a new classification scheme that predicts quality and value. Spine (Phila Pa 1976). 2019 Jul 1;44(13):915–26.
  6. Han X-G, Tian W. Artificial intelligence in orthopedic surgery: current state and future perspective. Chin Med J (Engl). 2019 Nov 5;132(21):2521–3.
  7. Lang JE, Mannava S, Floyd AJ, Goddard MS, Smith BP, Mofidi A, et al. Robotic systems in orthopaedic surgery. J Bone Joint Surg Br. 2011 Oct;93(10):1296–9.
  8. Panchmatia JR, Visenio MR, Panch T. The role of artificial intelligence in orthopaedic surgery. Br J Hosp Med (Lond). 2018 Dec 2;79(12):676–81.
  9. Kochanski RB, Lombardi JM, Laratta JL, Lehman RA, O’Toole JE. Image-guided navigation and robotics in spine surgery. Neurosurgery. 2019 01;84(6):1179–89.
  10. Moustris, George & Hirides, Savvas & Deliparaschos, Kyriakos & Konstantinidis, Konstantinos. (2011). Evolution of autonomous and semi-autonomous robotic surgical systems: A review of the literature. The international journal of medical robotics + computer assisted surgery : MRCAS. 7. 375-92. 10.1002/rcs.408.
  11. Nayak S, Das RK. Application of artificial intelligence (Ai) in prosthetic and orthotic rehabilitation. Service Robotics [Internet]. 2020 Oct 7 [cited 2020 Dec 7]; Available from: https://www.intechopen.com/books/service-robotics/application-of-artificial-intelligence-ai-in-prosthetic-and-orthotic-rehabilitation
  12. Liu F, Guan B, Zhou Z, Samsonov A, Rosas H, Lian K, et al. Fully automated diagnosis of anterior cruciate ligament tears on knee mr images by using deep learning. Radiology: Artificial Intelligence. 2019 May 1;1(3):180091.
  13. Adams SJ, Henderson RDE, Yi X, Babyn P. Artificial intelligence solutions for analysis of x-ray images. Can Assoc Radiol J. 2020 Aug 6;0846537120941671.