This book provides a comprehensive exploration of how artificial intelligence and digital health innovations are reshaping cancer care across Africa. Beginning with the foundational epidemiological and health system realities of the continent, it examines Africa's readiness for oncology transformation and the ethical, legal, and social considerations of adopting AI in cancer diagnosis and treatment.

The book presents advanced applications, from deep learning-driven imaging and precision oncology to telepathology, mobile health platforms, and digital tools for survivorship, relapse prediction, and palliative care. It further highlights strategies for scaling AI systems, strengthening rural health infrastructure, fostering public-private partnerships, and building a skilled workforce equipped for the next era of oncology.

Designed as a timely resource for clinicians, cancer researchers, AI scientists, digital health innovators, public health professionals, policymakers, medical educators, and postgraduate students, this work bridges cutting-edge technology with urgent public health needs. It offers actionable frameworks, contextual adaptations for low-resource settings, and a forward-looking vision for equitable, AI-enabled cancer care in Africa. This book serves as both a guide and catalyst for sustainable, inclusive, and technologically empowered oncology systems across the continent.

Wasswa Shafik (Member, IEEE) is a Computer Scientist, Information Technologist, and Educator, serving as Research Director at the Dig Connectivity Research Laboratory (DCRLab), Kampala, Uganda. He earned a Bachelor's degree in Information Technology from Ndejje University (Uganda), a Master's in Information Technology Engineering (Communication and Computer Networks) from Yazd University (Iran), and a PhD in Digital Science (Computer Science) from the Universiti Brunei Darussalam (Brunei Darussalam). His research focuses on developing computationally and statistically efficient models and algorithms for complex artificial intelligence and machine learning challenges to support a sustainable future. His interests span Applied AI, Deep Learning, Smart Agriculture, Computer Vision, Digital Health and Education, Ecological Informatics, and Sustainable Computing. Shafik has authored, edited, and co-edited numerous books and published extensively in peer-reviewed journals, book chapters, and IEEE international conferences. He has taught and supported academic programs in Mathematics for Data Science, Advanced Topics in Computing, Advanced Algorithms, and Systems Performance and Evaluation. His professional experience includes roles in research, data management, and leadership across organizations such as PSI, TechnoServe, and Asmaah Charity Organisation.

這本書全面探討了人工智慧和數位健康創新如何重塑非洲的癌症護理。從大陸的基礎流行病學和健康系統現實開始，檢視非洲在腫瘤學轉型方面的準備情況，以及在癌症診斷和治療中採用人工智慧的倫理、法律和社會考量。

本書介紹了先進的應用，從深度學習驅動的影像學和精準腫瘤學到遠程病理學、行動健康平台，以及用於生存、復發預測和緩和醫療的數位工具。它進一步強調了擴展人工智慧系統的策略、加強農村健康基礎設施、促進公私合夥關係，以及培養具備下一代腫瘤學所需技能的勞動力。

本書旨在為臨床醫生、癌症研究者、人工智慧科學家、數位健康創新者、公共衛生專業人士、政策制定者、醫學教育者和研究生提供及時的資源，將尖端技術與迫切的公共衛生需求相結合。它提供可行的框架、針對低資源環境的情境調整，以及對於非洲公平、人工智慧驅動的癌症護理的前瞻性願景。本書既是指南，也是推動可持續、包容和技術賦能的腫瘤學系統在整個大陸發展的催化劑。

**Wasswa Shafik**（IEEE會員）是一位計算機科學家、資訊技術專家和教育者，擔任烏干達坎帕拉的數位連接研究實驗室（DCRLab）研究主任。他在烏干達的Ndejje大學獲得資訊技術學士學位，在伊朗的Yazd大學獲得資訊技術工程（通信與計算機網絡）碩士學位，以及在汶萊的汶萊達魯薩蘭大學獲得數位科學（計算機科學）博士學位。他的研究專注於為複雜的人工智慧和機器學習挑戰開發計算和統計上高效的模型和演算法，以支持可持續的未來。他的興趣涵蓋應用人工智慧、深度學習、智慧農業、計算機視覺、數位健康與教育、生態資訊學和可持續計算。Shafik已撰寫、編輯和共同編輯多本書籍，並在同行評審的期刊、書籍章節和IEEE國際會議上廣泛發表。他曾教授和支持數據科學的數學、高級計算主題、高級演算法以及系統性能與評估的學術課程。他的專業經驗包括在PSI、TechnoServe和Asmaah慈善組織等機構的研究、數據管理和領導角色。

Wasswa Shafik (Member, IEEE) is a Computer Scientist, Information Technologist, and Educator, serving as Research Director at the Dig Connectivity Research Laboratory (DCRLab), Kampala, Uganda. He earned a Bachelor's degree in Information Technology from Ndejje University (Uganda), a Master's in Information Technology Engineering (Communication and Computer Networks) from Yazd University (Iran), and a PhD in Digital Science (Computer Science) from the Universiti Brunei Darussalam (Brunei Darussalam). His research focuses on developing computationally and statistically efficient models and algorithms for complex artificial intelligence and machine learning challenges to support a sustainable future. His interests span Applied AI, Deep Learning, Smart Agriculture, Computer Vision, Digital Health and Education, Ecological Informatics, and Sustainable Computing. Shafik has authored, edited, and co-edited numerous books and published extensively in peer-reviewed journals, book chapters, and IEEE international conferences. He has taught and supported academic programs in Mathematics for Data Science, Advanced Topics in Computing, Advanced Algorithms, and Systems Performance and Evaluation. His professional experience includes roles in research, data management, and leadership across organizations such as PSI, TechnoServe, and Asmaah Charity Organisation.

**Wasswa Shafik**（IEEE 會員）是一位計算機科學家、資訊技術專家和教育工作者，目前擔任烏干達坎帕拉的數位連接研究實驗室（DCRLab）研究主任。他在烏干達的Ndejje大學獲得資訊技術學士學位，在伊朗的Yazd大學獲得資訊技術工程（通信與計算機網絡）碩士學位，並在汶萊達魯薩蘭大學獲得數位科學（計算機科學）博士學位。他的研究專注於為複雜的人工智慧和機器學習挑戰開發計算和統計上高效的模型和演算法，以支持可持續的未來。他的興趣涵蓋應用人工智慧、深度學習、智慧農業、計算機視覺、數位健康與教育、生態資訊學和可持續計算。Shafik已撰寫、編輯及共同編輯多本書籍，並在同行評審的期刊、書籍章節及IEEE國際會議上廣泛發表。他教授並支持數據科學數學、高級計算主題、高級演算法及系統性能與評估等學術課程。他的專業經驗包括在PSI、TechnoServe和Asmaah慈善組織等機構擔任研究、數據管理和領導角色。