Transformer models, utilizing natural language processing (NLP) and deep learning, play a transformative role in healthcare by revolutionizing how medical data is processed, interpreted, and applied. These models, originally designed for tasks like machine translation and text generation, have critical applications in healthcare, enabling more accurate diagnostics, personalized treatment plans, and efficient administrative processes. By leveraging large amounts of clinical data, electronic health records (EHRs), medical literature, and genomic information, transformer models can identify patterns, predict disease outcomes, and assist in decision-making, all while reducing human error. In addition to clinical applications, they enhance drug discovery, streamline patient communication, and support mental health initiatives through automated but empathetic interactions. As transformer models evolve, they hold the potential to redefine healthcare by making it more precise, accessible, and patient-centered. Transformative Role of Transformer Models in Healthcare examines transformer models and their role in healthcare. It explores how these state-of-the-art AI technologies are applied to electronic health records, drug discovery, medical imaging, and clinical decision-making, addressing implementation challenges, such as data privacy concerns, model interpretability, and computational requirements. This book covers topics such as healthcare systems, personalized medicine, and data privacy, and is a useful resource for medical and healthcare professionals, engineers, business owners, academicians, researchers, and data scientists.

About the Authors

Asma Sbai has an engineering degree in computer science and a PhD in computer science, with a focus on origin-destination matrix estimation. She is currently a Professor (Maitre de conf�rence) of Computer Science in the Faculty of Medicine and Pharmacy at Cadi Ayyad University in Marrakech. Her academic and professional experiences have given her a good foundation in data analysis and modeling. She is currently focusing on artificial intelligence and its application to diseases diagnostics and publish principally in this topics. Her interdisciplinary approach integrates advanced machine learning methodologies to address complex challenges in healthcare.0000-0002-4067-3256.

Mudassir Khan is an accomplished academic, researcher, author, and consultant with expertise in computer science and data analytics. He holds an MCA and a Ph.D. in Big Data Analytics using Deep Learning. Currently, he is pursuing a postdoctoral fellowship at Multimedia University, Malaysia, and is a Co-Supervisor for Postgraduate Studies at Lincoln University College, Malaysia. With over 14 years of teaching and research experience, Dr. Khan has contributed significantly to the field as an Assistant Professor at King Khalid University. His expertise includes Big Data, Deep Learning, Machine Learning, Data Science, IoT, and AI, with a focus on medical imaging in healthcare. Dr. Khan has published over 95+ research articles in prestigious journals and presented his work at international conferences. He has also edited numerous books with esteemed publishers and authored four books in computer science.

Dr. Pushan Kumar Dutta has been actively engaged in multidisciplinary research at the intersection of artificial intelligence, machine learning, Internet of Things (IoT), and sustainable development. His work includes developing intelligent control systems for renewable energy sources, such as solar panels and fuel cells, and energy management strategies for smart grids and electric vehicle charging infrastructure. Dr. Dutta& research activities have resulted in many publications in prestigious journals, conference proceedings, and book chapters. His work has been widely cited, demonstrating its impact and relevance in the scientific community. Moreover, his research has been supported by industry collaborations, patents, and practical implementations, underscoring its real-world applicability and potential for societal impact. He has edited over 20 books for prestigious publishers such as Springer, Elsevier, and CRC, and published over 100 articles in Scopus-indexed journals and conferences. He has also received several honours and awards, such as the Young Faculty in Engineering award in 2018. He is a member of the technical programming committee for various prominent conferences and a keynote speaker at international events. He also coordinates sports and innovation competitions at his university and mentors’ students and young innovators.

J. Paulo Davim is a Full Professor at the University of Aveiro, Portugal. He is also distinguished as honorary professor in several universities/colleges/institutes in China, India and Spain. He received his PhD in Mechanical Engineering, MSc in Mechanical Engineering (materials and manufacturing.

Michael Onyema Edeh , Deputy Dean, Faculty of Allied Health and Applied Sciences/Head of Department, Mathematics and Computer Science at Coal City University, Nigeria. PhD is currently the Deputy Dean, Faculty of Allied Health and Applied Sciences/ Head of Department, Mathematics and Computer Science at Coal City University, Nigeria. He is an Adjunct Professor at the Department of Computer Science and Engineering, Shobhit University, India. An Adjunct Professor at Enugu State College of Education technical (ESCET), Enugu Nigeria. He was listed among the Top Scientists in Nigeria by Elsevier 2021-2024. Michael is a Recipient of the prestigious Chancellor's Award for Best Staff of the Year 2020, and Vice Chancellor’s Award for research Excellence 2023 both at Coal City University. A former Director of ICT at Coal City university. He is also the current Chairman of Nigeria Computer Society (NCS), Enugu State Chapter, Nigeria. Michael has taught Computer Science courses to both postgraduate and undergraduate students in several tertiary education institutions, including Shobhit university India; Southwestern University, Ogun State; Coal City University Enugu; Spiritan University Nneochi Abia State; National Open University of Nigeria (NOUN); Alex Ekwueme Federal University Ebonyi State; Gregory University Uturu; Enugu State College of Education Technical affiliated to Nnamdi Azikiwe University Nigeria; Institute of Management and Technology (IMT) Enugu; African Thinkers Community of Inquiry College of Education (ATCOI-COE) Enugu; Pogil College of Health Technology Ogun State; and Federal Science and Technical College Ogun State. Michael has delivered Keynote talks for many organizations both locally and internationally. He has published over 100 scholarly papers in reputable journals, and also acted as an editor and Reviewer for many top journals. He is also an editor of many books and Writer in couple of Newspapers in Nigeria including Vaguard Newspaper, The nation Newspaper etc. He has acted as Guest for public Affairs Analysis on Dream FM, Radio Nigeria and others. He has interest in Cybersecurity, Education, Machine Learning and Health informatics and cloud computing. His hobbies include Humanitarian activities, Research, Music and Sports.

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