Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Human-AI Collaboration for Balancing Technology and Compassion in Healthcare and Medicine
0
Zitationen
4
Autoren
2025
Jahr
Abstract
The structure of AI technology enhances healthcare efficiency through process automation along with complex medical data analysis and patient-decision support tools for healthcare providers. The fundamental capability of AI systems in healthcare does not consist of replacing medical staff, but it enhances their operational potential. The central issue stems from discovering an appropriate method to combine AI strength with essential human medical capabilities in healthcare services. AI systems acquire and analyze increased quantities of data but lack the capability to generate knowledgeable decisions. AI and human capability through symbiosis can become a synergistic experience for healthcare delivery. There are barriers to building trust and acceptance across healthcare providers and patients. Issues regarding data privacy and dependence on automated systems of judgment must also be addressed to bring AI into the routine of practice successfully. Achieving this synergy will refine hospital systems, as well as reinforce the basic principles of patient-centered medicine.
Ähnliche Arbeiten
Amazon's Mechanical Turk
2011 · 10.019 Zit.
The Transtheoretical Model of Health Behavior Change
1997 · 7.645 Zit.
COVID-19 and mental health: A review of the existing literature
2020 · 3.699 Zit.
Cognitive Therapy and the Emotional Disorders
1977 · 2.931 Zit.
Mental health problems and social media exposure during COVID-19 outbreak
2020 · 2.783 Zit.