Artificial Intelligence in Medicine

Associate Professor Tam C. NguyenAssociate Professor Tam C. Nguyen is the Deputy Director of Research at St Vincent's Hospital Melbourne with over 20 years of an experience with deep understanding of the Australian healthcare, medtech and pharmaceutical sector.  He is a regular invited speaker on a broad range of topics relating to health and medical research development, innovation, and commercialisation. A/Prof. Nguyen also advises healthtech and medtech companies and currently serving as an investment committee member for Horizon 3 Biotech Fund.Dr Manda RazManda Raz is a doctor, researcher, Master degree candidate, and author and editor of academic books. Dr Raz is the recipient of multiple research scholarships, academic prizes and leadership awards. He is heavily involved in academia and publishing, and is a keen educator of fellow doctors and medical students. Professor Erwin LohProfessor Erwin Loh is national Chief Medical Officer and Group General Manager Clinical Governance for St Vincent's Health Australia, the nation’s largest not-for-profit health and aged care provider, with six public hospitals, 10 private hospitals and 24 aged care facilities in Queensland, New South Wales and Victoria. He is Vice President of the Royal Australasian College of Medical Administrators.

• Preface.- Chapter 1 Untangling the concept of Artificial Intelligence, Machine Learning, and Deep Learning.- Chapter 2 Overview of Artificial Intelligence in Medicine.- Chapter 3 Machine learning, deep learning and neural networks.- Chapter 4 Machine Learning in Medical Imaging – Clinical Applications and Challenges in Computer Vision.- Chapter 5 Artificial Intelligence in Medicine: Applications, Limitations and Future Directions.- Chapter 6 Current Applications of Machine Learning in Medicine: ART.- Chapter 7 Artificial Intelligence in Ophthalmology.- Chapter 8 Machine learning in laparoscopic surgery.- Section 3 Limitations & Ethics.- Chapter 9 Limitations.- Chapter 10 Privacy and Data Security Issues.- Chapter 11 Explainable AI.