Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
From ICT to AI: Preparing Medical College Libraries in Bihar for Next-Generation Technologies
0
Zitationen
2
Autoren
2025
Jahr
Abstract
This study looks at the current state of the Information and Communication Technology (ICT) facilities in nine medical college libraries in Bihar, India. It also checks to see if these libraries are ready to use Artificial Intelligence (AI) technologies. Nine government medical colleges in Bihar were surveyed to find out about their ICT infrastructure, digital tools, staff skills, and readiness for adopting AI. The colleges were named ANMMCH, DMCH, GMC Bettiah, JNKTMCH, JLNMCH, NMCH, PMCH, SKMCH, and BMIMS (VIMS). The study shows that there are big differences in the ICT infrastructure of different organizations. For example, 67% of libraries have basic digital facilities, but only 22% are ready for AI. Major problems include not having enough professional knowledge (78%), not having enough money (85%), and not having enough training programs (73%). This study is the first to look at medical college libraries in Bihar as a whole and see how they've changed from using standard ICT to using AI-enabled services. It also shows how to improve technology in educational settings with limited resources. Keywords: Artificial Intelligence, Medical Libraries, ICT Infrastructure, Digital Transformation, Medical Education, Bihar
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.245 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.100 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.466 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 · 5.429 Zit.