Digital Transformation Will Change Medical Education and Rehabilitation in Spine Surgery.
Tadatsugu MorimotoHirohito HirataMasaya UenoNorio FukumoriTatsuya SakaiMaki SugimotoTakaomi KobayashiMasatsugu TsukamotoTomohito YoshiharaYu TodaYasutomo OdaKoji OtaniMasaaki MawatariPublished in: Medicina (Kaunas, Lithuania) (2022)
The concept of minimally invasive spine therapy (MIST) has been proposed as a treatment strategy to reduce the need for overall patient care, including not only minimally invasive spine surgery (MISS) but also conservative treatment and rehabilitation. To maximize the effectiveness of patient care in spine surgery, the educational needs of medical students, residents, and patient rehabilitation can be enhanced by digital transformation (DX), including virtual reality (VR), augmented reality (AR), mixed reality (MR), and extended reality (XR), three-dimensional (3D) medical images and holograms; wearable sensors, high-performance video cameras, fifth-generation wireless system (5G) and wireless fidelity (Wi-Fi), artificial intelligence, and head-mounted displays (HMDs). Furthermore, to comply with the guidelines for social distancing due to the unexpected COVID-19 pandemic, the use of DX to maintain healthcare and education is becoming more innovative than ever before. In medical education, with the evolution of science and technology, it has become mandatory to provide a highly interactive educational environment and experience using DX technology for residents and medical students, known as digital natives. This study describes an approach to pre- and intraoperative medical education and postoperative rehabilitation using DX in the field of spine surgery that was implemented during the COVID-19 pandemic and will be utilized thereafter.
Keyphrases
- medical education
- virtual reality
- healthcare
- minimally invasive
- artificial intelligence
- medical students
- deep learning
- machine learning
- patients undergoing
- systematic review
- randomized controlled trial
- big data
- magnetic resonance
- public health
- mental health
- low cost
- magnetic resonance imaging
- combination therapy
- convolutional neural network
- robot assisted
- replacement therapy
- contrast enhanced
- optic nerve