Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence in the Clinic: Creating Harmony or Just Adding Noise?
4
Zitationen
4
Autoren
2025
Jahr
Abstract
(the volume of messages that clinicians must manage within the electronic health record system), and AI's usage as a diagnostic tool. Key concerns addressed in this article include the potential pitfalls associated with AI integration, such as the need for proper clinician training to optimize AI algorithms while ensuring patient safety. The ambiguities surrounding the disclosure of AI in health care and the lack of a legal framework also raise significant concerns regarding patient autonomy, data privacy, trust, and beneficence. Future directions of AI in addressing these challenges are explored, alongside its potential integration into overburdened hospitals, underserved communities, telemedicine, and rural health care settings.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.611 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.504 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.025 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.835 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.