Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence in Healthcare
1
Zitationen
3
Autoren
2022
Jahr
Abstract
Artificial intelligence (AI) is the intelligence of computers in a way that simulates human intellect by learning continually as more data is ingested. Many cutting-edge technological concepts, particularly those aimed at enhancing the general welfare of humanity, use AI. Due to its expanding importance in the general enhancement of human quality of life, the healthcare business has recently drawn a lot of attention from technology leaders. The enhancement of health through disease prevention, diagnosis, treatment, or cure is known as healthcare. AI in healthcare uses advanced analytics to identify solutions to problems by projecting results from medical and scientific experiments. AI can improve healthcare by making predictions, deciding what to do, and acting on those decisions. This chapter discusses the most recent advances in AI and how they are being used in the healthcare sector. It also explores the potential effects of AI on patients and healthcare professionals. The authors discuss the problems and difficulties with AI in healthcare as well as the current state of AI in healthcare.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.316 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.177 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.575 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.468 Zit.