Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence in Medicine
30
Zitationen
2
Autoren
2024
Jahr
Abstract
The motivations are transformative and innovative impacts of artificial intelligence (AI) on medical sciences. AI technologies are revolutionizing healthcare by enhancing diseases diagnosis, treatment optimization, and healthcare management. Leveraging machine learning, natural language processing, and other AI techniques medical professionals can improve diagnostic accuracy, personalize treatment plans, and streamline healthcare operations. However, the widespread adoption of AI in healthcare raises ethical, regulatory and privacy concerns. This research investigates the current state of AI in medical sciences, its potential applications, challenges, and future implications for patient care and health delivery.
Ähnliche Arbeiten
"Why Should I Trust You?"
2016 · 14.785 Zit.
Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data
2005 · 10.554 Zit.
A Comprehensive Survey on Graph Neural Networks
2020 · 8.982 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.591 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.114 Zit.