Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence [AI] -The Game Changer in Pharmaceutical Industry
3
Zitationen
2
Autoren
2024
Jahr
Abstract
This review is done to understand the importance of Artificial Intelligence (AI) as Artificial intelligence (AI) is a branch of computer science that allows machines to work efficiently and analyze complex data. The research focused on AI has increased tremendously, and its role in healthcare service and research is emerging at a greater pace. The AI technologies in the healthcare industry include machine learning (ML), natural language processing (NLP), physical robots, robotic process automation, etc. AI capabilities are rapidly evolving within healthcare, with both clinical and operational implications for pharmacy. There are opportunities for AI to explore further in the field of pharmaceutical and healthcare research because of its ability to investigate enormous data from various modalities. Some of the current studies elaborate on the utilization of AI in healthcare and other sectors. AI focuses on producing intelligent modeling, which helps in imaging knowledge, cracking problems, and decision-making. Recently AI played an important role in various fields of pharmacy like drug discovery, drug delivery formulation, development, poly pharmacology, hospital pharmacy, etc. Ongoing disruptive innovations are paving the way for patients to receive faster and more accurate diagnoses, along with personalized treatment options. AI can research and cross-reference published scientific materials with alternative resources, including clinical trial results to develop drugs and discover new effective treatment methods for rare diseases.The future of AI in pharmacy looks promising, with ongoing research aimed at addressing existing gaps and enhancing the integration of AI tools into everyday pharmacy practice. As technology advances, pharmacists are likely to play an increasingly vital role in patient care through the effective use of AI, ultimately leading to improved health outcomes and more personalized healthcare services.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.239 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.095 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.463 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 · 5.428 Zit.