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©The Author(s) 2022.
Artif Intell Cancer. Feb 28, 2022; 3(1): 1-10
Published online Feb 28, 2022. doi: 10.35713/aic.v3.i1.1
Published online Feb 28, 2022. doi: 10.35713/aic.v3.i1.1
Human factors | AI factors |
Clinicians could regard their patient as a fellow mortal, vulnerable being and gain detailed knowledge of the patient's disease related to their lives | AI continually coordinates new knowledge and perfects itself more rapidly than humans do |
Clinicians know about social relationships and norms and could establish a genuinely intimate and empathetic connection with their patients | Automation of routine work could save time, such as documentation, administrative reporting, or even triaging images |
The clinician-patient relationship could be guided by human associative thinking and affect real-life treatment strategies | AI could provide reliable diagnosis and treatment strategies, issue reminders for medication, provide precise analytics for pathology and images, and predict overall health according to the current medical database and patient information |
The impact of psychosocial and emotional factors on disease prognosis and patient compliance could benefit from a good and close clinician-patient relationships | AI could provide simple mental health assistance via chatbot, monitor patient health, and predict disease progression |
- Citation: Hung CM, Shi HY, Lee PH, Chang CS, Rau KM, Lee HM, Tseng CH, Pei SN, Tsai KJ, Chiu CC. Potential and role of artificial intelligence in current medical healthcare. Artif Intell Cancer 2022; 3(1): 1-10
- URL: https://www.wjgnet.com/2644-3228/full/v3/i1/1.htm
- DOI: https://dx.doi.org/10.35713/aic.v3.i1.1