Artificial Intelligence for Early Detection and Diagnosis of Oral Cancer
暫譯: 人工智慧在口腔癌早期檢測與診斷中的應用

本書分析了使用人工智慧（AI）進行口腔癌早期檢測的目的。書中探討了先進的電腦演算法如何分析醫療影像、轉錄組/表觀遺傳學特徵以及相關的病患數據，以增強口腔癌的早期檢測和準確診斷，從而預防死亡和殘疾，並改善生活品質。本書首先提供了口腔癌的全面概述，包括其風險因素和早期檢測的重要性。接著深入探討了AI的基本概念及其在醫療保健中的應用。讀者將更深入地了解AI演算法如何「看見」口腔細胞和組織中的模式，使得能夠檢測到異常細胞及可能表明口腔癌存在的前癌變轉錄組或表觀遺傳學變化。本書適合專業人士、研究人員、政策制定者以及任何對AI與醫療保健交集感興趣的人士。

Dr. Rohit Thanki is a Senior AI Researcher and Data Scientist with over fifteen years of academic and industry research experience, and more than eight years specifically focused on AI-powered medical technologies. He is currently based in Wolfsburg, Germany, where he develops and leads regulatory-compliant AI solutions for healthcare diagnostics, medical image analysis, and clinical decision support. His work spans multiple domains including cancer diagnostics, orthopaedic rehabilitation, signal processing, and Software as a Medical Device (SaMD) development. Dr. Thanki has held key positions in AI R&D leadership, including as Head of Research and Development at Prognica Labs in Dubai, where he spearheaded AI-based breast cancer screening technologies, and as a Senior Data Scientist at KRiAN GmbH in Germany, focusing on AI for orthopaedic diagnostics & rehabilitation. His work involves the end-to-end development of machine learning and computer vision models, including their validation under international regulatory frameworks such as CE marking, ISO 13485, and ISO 62304. In addition to his industrial roles, he serves as an active academic supervisor, currently guiding Ph.D. research in AI and medical imaging, and mentoring thesis projects at German and Indian universities. An accomplished author and researcher, Dr. Thanki has published over 100 Scopus-indexed research papers and more than 50 articles in Web of Science-indexed journals. He has also written or co-authored over 25 academic books with leading publishers such as Springer Nature, CRC Press, and Elsevier. His books cover key areas, including AI in cancer diagnosis, medical image security, the Internet of Medical Things (IoMT), and explainable AI in medicine. Several of his publications are part of prestigious Springer series including SpringerBriefs in Electrical and Computer Engineering, Signals and Communication Technology, and Biomedical Engineering. His contributions have been widely recognized: he was honored with the Transformational Leadership Award in 2021 (Dubai) for the best deployment of machine learning in healthcare, and he has received multiple Best Paper awards in international conferences. As a recognized thought leader, Dr. Thanki has delivered expert talks and keynote lectures at institutions and international events on topics such as medical image AI, clinical NLP, and SaMD development. He also actively serves as a session chair and technical committee member in global conferences. Dr. Thanki is a Senior Member of IEEE, a member of the German Society for Artificial Intelligence in Medicine, and the German AI Association. He serves on the editorial boards of BMC Digital Health and Humanities and Social Sciences Communications (Springer Nature) and is a frequent reviewer for top-tier journals such as IEEE Transactions on Biomedical and Health Informatics, Elsevier's Computers in Biology and Medicine, and Springer's Artificial Intelligence Review. With his deep understanding of both technical AI development and global regulatory landscapes, Dr. Rohit Thanki is uniquely positioned to guide innovators and professionals through the complexities of medical technology (MedTech) compliance. His work bridges science, technology, regulation, and practice, making him an authoritative voice for this practical guide to navigating the MedTech regulatory maze.

Dr. Sejal Shah is currently serving as the Associate Professor & Head at Department of Bioinformatics, Faculty of engineering and technology, Marwadi University Rajkot, India. She is also serving as Cancer Geneticist and molecular tumour board member at various multispecialty hospitals In India. She is visiting faculty at IIIT Diu International campus and Saurashtra University. She has been selected in top 10 women scientists and awarded Indo-US women in STEMM fellowship (2019) by DST, Government of India and IUSSTF jointly to pursue post-doctoral research at Ohio state university, USA in paediatric leukaemia. She has been selected among 15 women scientists all over India by DST, KIRAN division for cancer research training organized at Mysore University, Mysore, India in 2018. She has been also awarded "Woman Scientist Fellow" in May 2012, in Women Scientist Scheme-A (DST/ WOS-A) of Department of Science and Technology, New Delhi, Government of India. She has more than 14 years of research experience in the field of cancer omics, biotechnology, nanotechnology and Artificial Intelligence. During this period, she has been involved in teaching and cancer research. She has eight years of teaching experience as well industrial experience such as RK University, Rajkot; Sun pharma industries, Vadodara; and PERD centre, Ahmedabad. She and her team are currently working on oral cancer, cervical cancer and breast cancer. She is associate member of American Association of Cancer Research (AACR), Life member of European association of cancer research (EACR), scientific decoder at COVID-19 Omics Research Consortium (CORC) and Breast cancer research consortia(BCRC). She has six Indian patents to her credit. She has more than 57 publications with 10 book chapters, 1 Book and eight research projects to her credit from various funding agencies. She is a reviewer in various national/international journals as wells. She is the advisor of IEEE Engineering in medicine and biology (EMBS) student branch chapter, Gujarat. She is an active member of Women in Engineering, Gujarat Section India as well.

羅希特·坦基博士（Dr. Rohit Thanki）是一位資深人工智慧研究員和數據科學家，擁有超過十五年的學術和產業研究經驗，其中有超過八年專注於人工智慧驅動的醫療技術。他目前居住在德國沃爾夫斯堡，負責開發和領導符合監管要求的人工智慧解決方案，應用於醫療診斷、醫學影像分析和臨床決策支持。他的工作涵蓋多個領域，包括癌症診斷、骨科康復、信號處理以及作為醫療設備的軟體（SaMD）開發。坦基博士曾在人工智慧研發領域擔任重要職位，包括在迪拜的Prognica Labs擔任研發部門負責人，主導基於人工智慧的乳腺癌篩檢技術，以及在德國的KRiAN GmbH擔任資深數據科學家，專注於骨科診斷和康復的人工智慧應用。他的工作涉及機器學習和計算機視覺模型的端到端開發，包括在國際監管框架下的驗證，如CE標記、ISO 13485和ISO 62304。除了工業角色外，他還擔任活躍的學術指導，目前指導人工智慧和醫學影像的博士研究，並在德國和印度的多所大學指導論文項目。作為一位成功的作者和研究者，坦基博士已發表超過100篇Scopus索引的研究論文，以及50多篇Web of Science索引的期刊文章。他還與Springer Nature、CRC Press和Elsevier等知名出版商共同撰寫或合著超過25本學術書籍。他的書籍涵蓋關鍵領域，包括癌症診斷中的人工智慧、醫學影像安全、醫療物聯網（IoMT）以及醫學中的可解釋人工智慧。他的多篇出版物是Springer系列中的一部分，包括電氣與計算機工程的SpringerBriefs、信號與通信技術以及生物醫學工程。他的貢獻得到了廣泛的認可：他在2021年（迪拜）獲得了轉型領導獎，以表彰他在醫療保健中最佳應用機器學習的成就，並在國際會議中獲得多次最佳論文獎。作為一位公認的思想領袖，坦基博士在機構和國際活動中就醫學影像人工智慧、臨床自然語言處理和SaMD開發等主題發表專題演講和主題演講。他還積極擔任全球會議的會議主席和技術委員會成員。坦基博士是IEEE的資深會員，也是德國醫學人工智慧協會和德國人工智慧協會的成員。他擔任BMC數位健康和人文社會科學通訊（Springer Nature）的編輯委員會成員，並且是IEEE生物醫學與健康資訊學報、Elsevier的生物學與醫學計算機以及Springer的人工智慧評論等頂級期刊的常任審稿人。憑藉對技術人工智慧開發和全球監管環境的深刻理解，羅希特·坦基博士在指導創新者和專業人士應對醫療技術（MedTech）合規的複雜性方面具有獨特的優勢。他的工作橋接了科學、技術、監管和實踐，使他成為這本實用指南的權威聲音，幫助讀者導航MedTech的監管迷宮。

塞賈爾·沙哈博士（Dr. Sejal Shah）目前擔任印度拉傑科特馬瓦迪大學工程與技術學院生物資訊學系的副教授及系主任。她同時在印度多家多專科醫院擔任癌症遺傳學家和分子腫瘤委員會成員。她是IIIT Diu國際校區和索拉什特拉大學的訪問教員。她曾被選為前十名女性科學家之一，並於2019年獲得印度政府科技部（DST）和印度美國科學與技術基金會（IUSSTF）共同頒發的印美女性STEMM獎學金，以在美國俄亥俄州立大學進行兒童白血病的博士後研究。她於2018年被DST KIRAN部門選為全印度15名女性科學家之一，參加在印度邁索爾大學舉辦的癌症研究培訓。她於2012年5月獲得印度政府科技部女性科學家計劃A（DST/WOS-A）頒發的「女性科學家獎學金」。她在癌症組學、生物技術、納米技術和人工智慧領域擁有超過14年的研究經驗。在此期間，她參與了教學和癌症研究。她擁有八年的教學經驗以及在RK大學、拉傑科特；太陽製藥工業，瓦多達拉；和PERD中心，艾哈邁達巴德等地的產業經驗。她和她的團隊目前正在研究口腔癌、宮頸癌和乳腺癌。她是美國癌症研究協會（AACR）的副會員，歐洲癌症研究協會（EACR）的終身會員，COVID-19組學研究聯盟（CORC）和乳腺癌研究聯盟（BCRC）的科學解碼員。她擁有六項印度專利。她的出版物超過57篇，包括10章書籍、1本書和八個來自各種資助機構的研究項目。她也是多個國內外期刊的審稿人。她是IEEE醫學與生物學工程（EMBS）學生分會的顧問，並且是印度古吉拉特州女性工程師的活躍成員。