The digital transformation of healthcare reshapes how professionals communicate, share knowledge, and deliver patient-centered care across organizational and geographical boundaries. Strengthening e-collaboration in healthcare through AI offers opportunities to enhance coordination, decision-making, and efficiency by enabling real-time data sharing, intelligent automation, and predictive insights. By integrating AI-driven tools into collaborative platforms, healthcare systems can reduce fragmentation, improve clinical outcomes, and support multidisciplinary teamwork. Further exploration may help advance the quality, accessibility, and sustainability of modern healthcare services. Strengthening E-Collaboration in Healthcare Through AI explores AI and emerging digital technologies for the healthcare sector, with a focus on state-of-the-art approaches, methodologies, and systems for the design, development, deployment, and applications in medicine. It examines the use of e-collaboration to successfully converge technology and healthcare. This book covers topics such as medical diagnostics, telehealth, and clinical science, and is a useful resource for medical and healthcare professionals, engineers, academicians, researchers, and scientists.