Navigating the AI’s Role in Healthcare Alliances

Pharmacology

This review focuses on the profound influence of Artificial Intelligence (AI) on the healthcare sector, driven by the surge in available data, which has revolutionized patient treatment and decision-making. The applications of AI in crisis management, marketing, and various industries position it as a pivotal research area. AI-based healthcare technologies have played a pivotal role in monitoring and preventing the spread of diseases, as well as supporting clinical decision-making. Artificial Intelligence encompasses machine learning, neural networks, and natural language processing. Machine learning, particularly deep learning, is employed in healthcare for automated clinical decision systems and the identification of medical conditions from imaging data. Natural language processing aids in the comprehension and categorization of clinical documentation. AI's influence extends to cardiology, cancer, neurology, and radiology, optimizing data interpretation, decision-making processes, and diagnostic accuracy. In healthcare, AI significantly contributes to drug discovery, the development of wearable devices for chronic disease management, analysis of electronic health records, personalized medication recommendations based on genomic biomarkers, and advancements in pharmaceutical care. Despite these accomplishments, challenges such as data accessibility, model adaptability, and interpretability persist. The integration of AI in healthcare holds tremendous promise for enhancing precision, efficiency, and patient outcomes across various medical disciplines.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.