Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence and Robotics-Based Minimally Invasive Surgery
14
Zitationen
3
Autoren
2023
Jahr
Abstract
Artificial intelligence (AI) is altering the healthcare industry. By analyzing and interpreting data from clinical trials and research initiatives, it can improve medical research by spotting small but important trends that go beyond the human eye. By analyzing vast volumes of data to assist in making better-educated decisions regarding treatments, AI can also enhance patient care. Speech recognition, visual perception, pattern identification, decision-making, and language processing are all tasks that need human-like intelligence, and AI is the emulation of human intelligence by computers. The application of artificial intelligence in contemporary surgical learning may transform how surgeons are trained. Surgical training has significantly advanced recently as a result of the addition of simulation and task-based training. This technology provides significant potential for this path. This chapter examines the advancements and difficulties in the use of surgical robots and artificial intelligence in MIS.
Ähnliche Arbeiten
The SCARE 2020 Guideline: Updating Consensus Surgical CAse REport (SCARE) Guidelines
2020 · 5.571 Zit.
Virtual Reality Training Improves Operating Room Performance
2002 · 2.782 Zit.
An estimation of the global volume of surgery: a modelling strategy based on available data
2008 · 2.504 Zit.
Objective structured assessment of technical skill (OSATS) for surgical residents
1997 · 2.256 Zit.
Does Simulation-Based Medical Education With Deliberate Practice Yield Better Results Than Traditional Clinical Education? A Meta-Analytic Comparative Review of the Evidence
2011 · 1.701 Zit.