Abstract:

This research delves into the potential impact of Artificial Intelligence (AI) within the domain of infectious disease diagnosis and resolution, which can be discussed in the subject of Tropical Diseases and International Health, specifically within the framework of the Degree in Pharmacy at the Universidad de La Laguna (Spain). The study centers on understanding how AI algorithms, trained on extensive datasets encompassing patient information and disease characteristics, can precisely identify and forecast parasitic diseases. This capability aids pharmacists in their decision-making processes, potentially revolutionizing their approach to patient care.

Furthermore, the investigation explores AI's role as an innovative educational tool within the pharmacy curriculum. By integrating AI technology into learning modules, it aims to nurture a new cohort of healthcare professionals adept at leveraging advanced technology in their practice.

The outcomes highlight AI's dual benefits: enhancing diagnostic accuracy and treatment efficacy while also enriching the educational journey for pharmacy students. It equips them with essential skills crucial for navigating the evolving landscape of healthcare. However, the study underscores the imperative for additional research to tackle ethical and practical concerns linked to AI application in healthcare and education. It emphasizes the critical need for expert oversight in parasitology to avert potential significant errors, highlighting the necessity of subject matter expertise in discerning between diverse decisions.

These decisions might pertain to determining the appropriate samples or tests for patients, contingent on available healthcare resources and geographical considerations, such as varying disease prevalence across different regions. This research expands the existing knowledge base on AI's role in healthcare and advocates for its integration into pharmacy curriculum, ensuring future pharmacists are equipped to thrive in a technologically advanced healthcare environment.

Keywords:

Artificial intelligence, Infectious diseases, Clinical cases.