ASiT Innovation Summit e-Posters
N. Mbashila, F. Hepworth Lloyd, R. Montero, D. Roskams, K. Hawchar, R. Coomber, J. Tooke, O. Musbahi, G. Jones, T. Fay, D. Homewood, D. Fay, O. Niall, R. Bhakar, M. Al-Ghazawi, V.S. Rengan, E. Arora, P.M. Sundaram, R.S. Rengan, P. Sekaran, R. Kalla, A. Bawa, N. Alexander

TL;DR
This paper reviews the impact of AI in surgery, including precision, diagnostics, and training, while also addressing challenges like estates failures and AI misuse in medical writing.
Contribution
The paper provides a comprehensive review of AI's role in surgery and highlights novel applications and challenges in healthcare settings.
Findings
AI has improved surgical precision and patient outcomes through robotic-assisted surgery and machine learning.
Estates failures in theatres cost an estimated £730k annually in downtime and lost productivity.
AI tools are seen as potentially useful in surgical training, though concerns remain about their impact on learning and patient care.
Abstract
1. Analyse existing literature on the application of AI models in surgery. 2. Assess the impact of AI on surgical precision and patient safety. 3. Evaluate AI driven technologies in enhancing diagnostics and surgery. Unprecedented advancements in precision, efficiency and patient safety are the ways in which artificial intelligence is transforming surgical practice. It's integration in the provision of care via surgical procedures is a welcome move especially as healthcare systems push for innovation, directly addressing the growing demands for improved outcomes and cost-effectiveness in surgery. This review is derived from the clinical trials, peer-viewed studies and meta-analysis focused on the application of AI in surgery. Areas examined include Robotic surgery, surgical imaging, personalized care models and predictive analytics. This review assesses the extent to which AI…
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Taxonomy
TopicsDiverse Scientific and Economic Studies · Academic Publishing and Open Access · Academic Writing and Publishing
