Artificial Intelligence (AI) and robotics have revolutionised the field of medical diagnosis, prognosis, treatment and research. These advances are largely due to the ability of AI to collect and interpret medical data faster and with more accuracy than any human.
This is especially relevant in healthcare education with the promises of "enhanced learner-centred curriculum, decreased educator burnout and personalised learning" (Lazarus et al., 2022). The Royal College of Surgeons & Physicians of Canada have stated that "AI and digital tehcnologies will become fundamental to the practice of medicine" (Reznick et al., 2020).
According to Monash University, "on any given day, a student might engage with 3D prints, virtual reality or augmented reality, to engage with structures of the human body" (Lazarus et al., 2022). Chatbots are another innovation in healthcare education with the ability to immediately respond to individualised questions and enhance learner experiences using scenario databases to teach patient interaction (Partida, 2022).
This AI World video (above) explains machine learning, data analytics and how surgeons of the future need to understand the benefits of robotic surgical programs, which include faster recovery, less pain, less scarring, less blood loss, lower chance of infection.
Connected medical devices (Internet of Medical Things) are another important use of AI in healthcare education. As seen in the image above, the ability of smart wearables to monitor patient data such as glucose levels, heart rates and blood pressure has simplified healthcare systems across the globe.
Finally, the What Happens Next? Podcast (Episode 45) dicusses the increasingly pivotal role of AI, however the lack of regulation in the industry and the ethics surrounding data protection are potential areas of concern to society, the economy and the environment (Floridi, 2021).
References:AI World. (2021, November 2). Top 10 AI trends in healthcare [YouTube]. https://www.youtube.com/watch?v=fiYdZy8PdWU
Andrejevic, M., Arrigo, R., Nicholson, A., Strengers, Y., & Carland, S. (2021, September 10). Bias in Artificial Intelligence: teaching machines to think responsibly [Podcast]. What Happens Next?
Brown, M., (2018, September 17). A healthy future for artificial intelliegence in healthcare [Image]. engineering.com. https://www.engineering.com/story/a-healthy-future-for-artificial-intelligence-in-healthcare
Dilawar, N., Rizwan, M., Akram, S., & Ahamd, F. (2019). Blockchain: securing Internet of Medical Things (IoMT) [Image]. International Journal of Advanced Computer Science and Applications (1)
Floridi, L. (2021). European legislation on artificial intelligence: a brief analysis of its philosophical approach. Philosophy & Technology (34).
Lazarus, M., Douglas, P., & Truong, M. (2022, September 1). AI in healthcare education: is it ready to teach the future? Monash University. https://lens.monash.edu/@medicine-health/2022/09/01/1384792/ai-in-healthcare-education-is-it-ready-to-teach-the-future
Partida, D. (2022, May 20). The future of healthcare education relies on AI & robotics. Rootlab.com. https://www.rootlab.com/blog/the-future-of-medical-education-relies-on-ai-robotics
Reznick, R.K., Horsley, T., & Hassani, M.S. (2020). Artificial intelligence and emerging digital technologies. Royal College of Physicians & Surgeons of Canada.
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