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letter
. 2019 Jun 14;11(Suppl 1):S80–S81. doi: 10.1016/j.jcot.2019.06.012

Table 2.

Limitations of artificial intelligence.

  • S.No

  • Limitations

  • Description

  • 1

  • Only learns from the given data

  • AI only learns from the given data of the patient

  • Accuracy of surgery depends upon the captured data

  • 2

  • Crucial for treatment by machine learning (ML)/AI algorithm used

  • One of the significant disadvantages is the percentage of accuracy of prediction by the ML/AI algorithm used, which is very crucial for the treatment and even further

  • The possible prediction outcome will be the answer whether the role of an AI is an absolute way or it needs more data and training over time

  • 3

  • Does not understand the emotion

  • These machines do not understand emotions, human thought, and reasons to make an accurate decision

  • This technology only does what it has been programmed to do

  • It has no other knowledge like a human being to reflect the accurate result

  • 4

  • Requires proper supervision

  • It requires proper supervision and data capturing during treatment; otherwise, doctors and surgeons do not achieve reliable results

  • Only reliable data provide sufficient results

  • 5

  • Not provide creative thinking

  • It cannot fulfil the creative thinking requirement in orthopaedics like a human being, because a human being can feel, think, and make a valuable decision as to the machine cant

  • New decisions without any data are not possible by this technology