Telenursing and artificial intelligence for oncology nursing

Artificial intelligence in head and neck surgery: Potential applications and future perspectives

“…19 This would benefit patients by shortening the length of hospitalization and decreasing the number of outpatient and emergency department visits, and allowing for greater individualization, all of which would also benefit the healthcare system by reducing the costs. 19 AI will surely play a key role in the developing field of nursing robotics. Assistive and socially-assistive robots could provide physical and emotional support for patients recovering at home.…”

“…There is little doubt that daily nursing care plays a crucial role in the recovery of patients with head and neck cancer. AI models could extend nursing care before admission and after discharge by facilitating telenursing 19 . This would benefit patients by shortening the length of hospitalization and decreasing the number of outpatient and emergency department visits, and allowing for greater individualization, all of which would also benefit the healthcare system by reducing the costs 19 .…”

“…AI models could extend nursing care before admission and after discharge by facilitating telenursing 19 . This would benefit patients by shortening the length of hospitalization and decreasing the number of outpatient and emergency department visits, and allowing for greater individualization, all of which would also benefit the healthcare system by reducing the costs 19 . AI will surely play a key role in the developing field of nursing robotics.…”

“…AI has the potential to improve head and neck surgery in many different ways, but especially by improving the analysis of medical imaging, voice samples, gene expression and clinical data 4 . AI can be applied in a wide range of different areas, including robotic surgery, 5–8 radiotherapy, 9,10 clinical oncology, 11 radiology, 12–17 nursing, 18–20 pathology, 6,21–23 phoniatrics 24 and molecular biology 25–28 . AI has been used to develop prediction models based on the analysis of existing data sets to predict cancer progression, 29 overall survival stratification, 30 lymph node metastases, 31,32 treatment‐related toxicity 11 and hospital stay length 33 .…”