Table 1.

Comparison of AI integration in pharmacy practice with traditional methods.

Areas of comparison	Traditional Method	AI Integration
Medication management and optimization	Manual Prone to error Limited processing capability	Accurate and efficient Reduce risk of error Personalized medication
Drug discovery and development	Time consuming and expensive Trial error and methods Limited success rates in drug development	Accelerate drug discovery and development Predict drug safety and efficacy Increase success rate in drug development
Clinical decision support	Rely on human expertise Time consuming and subject to human error Limited data consideration	Real time access to evidence-based guidelines Improve accuracy and consistency in decision making Enhance patient safety and outcomes
Predictive Analytics and Early Intervention	Rely on retrospective analysis Limited data processing capabilities Reactive healthcare management	Early detection and intervention of disease Personalized treatment plans based on big dataset Proactive preventive strategies