Industry-Specific Applications of AI and ML
Saurabh Singhal, Ajeet Kumar Sharma, Akhilesh Kumar Singh, Anand Pandey, Avinash Sharma · Advances in systems analysis, software engineering, and high performance computing book series · 2024
Artificial intelligence in healthcare has the potential to enhance diagnostics, patient care, and medical research. However, trust in AI-driven decision-making processes is crucial as AI systems become more complex. Explainable artificial intelligence (XAI) is a strategy to ensure AI-driven healthcare solutions are efficient and understandable to healthcare professionals and patients. XAI can improve medical practitioners' decision-making processes, increase trust in AI recommendations, and boost patient-doctor communication. Applications include medical imaging, predictive analytics, drug development, and tailored treatment plans. The chapter discusses the ethical and regulatory implications of AI in healthcare, focusing on patient data privacy and security. Future XAI trends will focus on improving patient outcomes and healthcare service quality by making AI systems accessible and consistent with ethical norms.