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Artificial Intelligence Applicability in the Pharmaceutical Industry: Present Perspectives and Future Formations.

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Pharmaceutical professionals are aware of artificial intelligence (AI) and its benefits, but extensive familiarity and organizational readiness are low. Education and clear guidelines are crucial for AI integration in the pharmaceutical sector.

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Area of Science:

  • Pharmaceutical Science
  • Healthcare Technology
  • Artificial Intelligence Applications

Background:

  • Artificial intelligence (AI) is increasingly impacting pharmaceutical research, production, and healthcare.
  • The extent of AI awareness, readiness, and application among pharmaceutical professionals is not well-understood.
  • AI tools like ChatGPT, Microsoft Copilot, and Google Gemini are gaining traction globally.

Purpose of the Study:

  • To evaluate awareness, knowledge, attitudes, and perceptions of AI among pharmaceutical professionals.
  • To identify factors influencing AI adoption within the pharmaceutical industry.
  • To assess the current state of AI integration in pharmaceutical practice.

Main Methods:

  • A cross-sectional survey utilizing a structured online questionnaire.
  • Inclusion of professionals from diverse pharmaceutical sectors.
  • Descriptive statistical analysis of demographic data, AI familiarity, usage, and perceptions.

Main Results:

  • High AI awareness (81.8%) but low extensive familiarity (2.3%).
  • ChatGPT is the most used AI tool (63.6%), with limited organizational adoption (27.3%).
  • Strong support for AI adoption (86.4%) contrasted with low industry readiness (22.7%).
  • Key perceived benefits include improved efficiency (86.4%) and quality (70.4%).
  • Major concerns involve automation dependency (36.4%) and implementation costs (34.1%).

Conclusions:

  • Pharmaceutical professionals exhibit significant interest in AI, recognizing its potential benefits.
  • Limited organizational readiness and formal training pose challenges to widespread AI adoption.
  • Structured education, clear regulatory guidance, and robust ethical frameworks are essential for successful AI integration.