Integrating AI and Human Expertise: A Cross-Disciplinary Approach to Precision Medicine

Abstract

Precision medicine promises to revolutionize healthcare by tailoring treatments to individual genetic, environmental, and lifestyle factors. This paper explores how artificial intelligence (AI) can be integrated with clinical expertise to advance precision medicine. By combining insights from genomics, data science, and medical practice, we examine the potential of AI to improve diagnosis, treatment selection, and patient outcomes. Case studies from Australian healthcare systems illustrate the challenges and opportunities of this interdisciplinary approach. The paper concludes with recommendations for fostering collaboration between technologists, clinicians, and policymakers to ensure ethical and equitable implementation.