Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
AI-based healthcare chatbot using machine learning and NLP
0
Zitationen
4
Autoren
2026
Jahr
Abstract
Artificial Intelligence (AI) is transforming the healthcare sector by enhancing diagnostic accuracy, improving patient care, optimizing administrative workflows, and enabling personalized medicine. With the rapid growth of medical data and advancements in machine learning, deep learning, and natural language processing, AI-driven systems are becoming integral to modern healthcare. This paper explores the role of AI in revolutionizing healthcare, highlighting key applications such as medical imaging, predictive analytics, drug discovery, virtual health assistants, and remote patient monitoring. It also discusses the challenges, ethical concerns, and future prospects of AI adoption in healthcare. The study concludes that while AI has immense potential to improve healthcare outcomes and efficiency, careful implementation, ethical governance, and collaboration between technology and healthcare professionals are essential for its sustainable growth.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.260 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.116 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.493 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 · 5.438 Zit.