Artificial Intelligence in Medicineartificial Intelligence in Medicine

This book focuses on the practical application of AI tools and techniques in software project management, offering detailed theoretical explanations and practical examples of over 40 state-of-the-art machine learning and deep learning algorithms applied across each project phase, as well as in risk and resource management. Helping the business world estimate projects more accurately while saving costs and resources is crucial in today’s rapidly changing, fast-paced technological landscape. Moreover, it presents specific aspects of combined approaches through ensemble models, incorporating Taguchi’s optimization method to further improve estimation accuracy, advancing this area of software project management. A valuable resource for students and professionals to deepen their knowledge and skills, it also serves as a great manual for companies adopting smarter strategies to manage and develop projects more efficiently and effectively.

Artificial intelligence is headline news with the launch of the latest ChatGPT and Google Gemini. But when did we start making computers mimic the human mind? And what is the reality of the capabilities of AI now, and in the future?

This book discusses both current trends and future developments in AI/ML across healthcare, with a focus on the transformational impact of this emerging technological domain on enhancing the access, accuracy, education, equity, quality, safety, and value of modern care delivery.

This book constitutes revised selected papers from the AIME 2019 workshops KR4HC/ProHealth 2019, the Workshop on Knowledge Representation for Health Care and Process-Oriented Information Systems in Health Care, and TEAAM 2019, the Workshop on Transparent, Explainable and Affective AI in Medical Systems.