Challenges and Future Directions

Chapter 9 delves into the intricate landscape of ethical considerations, challenges, and future directions in deploying AI systems in medical diagnosis. The chapter begins by examining the ethical complexities associated with AI in healthcare, emphasising the importance of privacy, bias mitigation, and transparency. It then explores the limitations of computer vision and machine learning approaches in medical diagnosis, highlighting data scarcity, model interpretability, and generalizability across diverse patient populations. The discussion transitions to future directions, showcasing emerging trends like federated learning, explainable AI, and integrating multimodal data to enhance diagnostic accuracy and reliability. Additionally, the chapter underscores the significance of interdisciplinary research and collaboration, advocating for the synergistic efforts of experts from AI, medicine, ethics, and regulatory fields to address these challenges and harness the full potential of AI in revolutionising medical diagnosis.