Enhancing Multidisciplinary Team Efficiency: The Transformative Potential of Artificial Intelligence

Multidisciplinary Team (MDT) boards are teams of experts from different specialties that aim to formulate standardized Treatment plans. MDTs are now widely implemented to enhance decision-making and optimize clinical outcomes of complicated cancer cases. However, diversity in framework, Information gaps, non-standardized practices, and Power structure tend to compromise the effectiveness of MDT boards1. These challenges limit effective patient care and hinder patient adherence to clinical protocols. Though the potential benefits of MDT boards have been acknowledged by current literature, the overall effects on patient outcomes are inconclusive; this necessitates a closer examination of MDT boards. Innovative solutions are needed to improve the functionality and outcomes of these boards2. Artificial Intelligence (AI) integration into MDT boards is a potential solution for these challenges. AI enhances clinical decision-making by facilitating communication, data sharing, and providing clarity and precision. For example, tailored recommendations and convenient treatment plans can be achieved by AI-powered predictive analytics based on patient-specific data and clinical guidelines3.