Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Future of Artificial Intelligence in Surgery: A Narrative Review
45
Zitationen
11
Autoren
2024
Jahr
Abstract
Artificial intelligence (AI) is the capability of a machine to execute cognitive processes that are typically considered to be functions of the human brain. It is the study of algorithms that enable machines to reason and perform mental tasks, including problem-solving, object and word recognition, and decision-making. Once considered science fiction, AI today is a fact and an increasingly prevalent subject in both academic and popular literature. It is expected to reshape medicine, benefiting both healthcare professionals and patients. Machine learning (ML) is a subset of AI that allows machines to learn and make predictions by recognizing patterns, thus empowering the medical team to deliver better care to patients through accurate diagnosis and treatment. ML is expanding its footprint in a variety of surgical specialties, including general surgery, ophthalmology, cardiothoracic surgery, and vascular surgery, to name a few. In recent years, we have seen AI make its way into the operating theatres. Though it has not yet been able to replace the surgeon, it has the potential to become a highly valuable surgical tool. Rest assured that the day is not far off when AI shall play a significant intraoperative role, a projection that is currently marred by safety concerns. This review aims to explore the present application of AI in various surgical disciplines and how it benefits both patients and physicians, as well as the current obstacles and limitations facing its seemingly unstoppable rise.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.436 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.311 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.753 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.523 Zit.
Autoren
Institutionen
- Guy's and St Thomas' NHS Foundation Trust(GB)
- University Hospitals Birmingham NHS Foundation Trust(GB)
- University of Perpetual Help System DALTA(PH)
- Mayo Hospital(PK)
- All India Institute of Medical Sciences Jodhpur(IN)
- Northwestern University(PH)
- Rajiv Gandhi University of Health Sciences(IN)
- Universidad de San Martín de Porres(PE)
- Fatima Jinnah Medical University(PK)
- Shalamar Hospital(PK)
- Cairo University(EG)