Artificial Intelligence for Early Detection and Diagnosis of Lung Cancer
暫譯: 早期檢測與診斷肺癌的人工智慧

本書介紹了利用人工智慧（AI）進行肺癌早期檢測的概念。書中探討了先進的電腦演算法如何分析醫學影像、轉錄組/表觀遺傳學特徵以及相關的病人數據，以增強肺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。本書首先提供了肺癌的全面概述，包括其風險因素和早期檢測的重要性。接著深入探討人工智慧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指示口腔癌存在的前癌變轉錄組或表觀遺傳學變化。本書根據最新的研究和實際案例，展示了用於肺癌篩檢的各種AI技術，包括基於切除或切片活檢的細胞學影像的自動影像處理和分析。

Dr. Sejal Shah is working as an Associate Professor and Head at Department of Bioinformatics, Marwadi 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 USA and she joined Ohio State University for research in pediatric leukemia. She has been selected among 15 women scientists all over India by DST, KIRAN division for cancer research training organized at Mysore University, Mysore 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. Recently during October 2024, Dr. Shah was invited as an expert speaker and program coordinator for the Reverse Vaccinology workshop by IEEE HTC 25 at Chiba University, Tokyo, JAPAN and IEEE HTC 24 at Kuala Lumpur, Malaysia during October 2024. Moreover, she has served as an Erasmus plus Faculty at University of Pitesti, Romania as well, as a part of Erasmus plus Faculty mobility Program funded by European union during October 2023. She has 14 years of experience in the field of Cancer omics research, Artificial Intelligence, Machine learning, Biotechnology, Bioinformatics and Nanotechnology. During this period, she has been actively involved in the teaching and cancer research. Dr. Shah also extending her duty as a Cancer Geneticist and molecular tumor board member at several Cancer hospitals in Gujarat specially for hereditary cancers. She and her team currently working on oral cancer, cervical cancer and breast cancer. She is an advisor of IEEE EMBS (Engineering in Medicine and Biology) student branch chapter, Marwadi University, Gujarat section. She is IEEE WIE (Women in Engineering) member of Gujarat Section. She is associate member of American Association of Cancer Research (AACR) and scientific decoder at COVID 19 Omics Research Consortium (CORC). She has more than 67 publications, 2 authored books on oral cancer and cervical cancer by Springer Nature, 9 patents and number of research projects completed to her credit from various funding agencies.

Dr. Rohit Thanki is an expert in Artificial Intelligence, Medical Informatics, and Digital Health with experience in enterprise AI and Healthcare AI in India, the Middle East, and Germany. Previously, he served in a senior leadership role at KRiAN GmbH, where he developed CE-certified Software as a Medical Device (SaMD) for medical diagnostics and rehabilitation. He was also Head of Research & Development at Prognica Labs in Dubai, focusing on AI-driven breast cancer screening solutions. He holds a Ph.D. in Electronics and Communication Engineering from C. U. Shah University, India, with research on privacy-preserving multibiometric systems. He also has bachelor's and master's degrees in Electronics and Communication Engineering. His research interests include explainable AI for healthcare, medical imaging, biomedical signal processing, multimodal and generative AI systems, and regulatory-compliant clinical AI agents. He has contributed to the development of AI systems covering X-ray, CT, MRI, ultrasound, mammography, histopathology, and physiological data analysis. He has taught courses in image processing, signal processing, communication systems, navigational and radar communication, satellite communication, and VLSI as an Assistant Professor and Visiting Lecturer in India. He serves on Ph.D. examination boards and supervises postgraduate research in both India and Germany. He has published over 110 Scopus-indexed articles and 20 scholarly books, with more than 1,800 citations and a strong h-index. He is a Senior Member of IEEE, an editorial board member for BMC Digital Health and PLOS One, and an active peer reviewer for leading journals.

Dr. Sejal Shah 擔任 Marwadi 大學生物資訊系的副教授及系主任。她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）與印度美國科學與技術基金會（IUSSTF）共同頒發的印度-美國 STEMM 女性獎學金，以在美國進行博士後研究，並加入俄亥俄州立大學進行小兒白血病的研究。她於 2018 年被 DST KIRAN 部門選為全印度 15 位女性科學家之一，參加在邁索爾大學舉辦的癌症研究培訓。她還於 2012 年 5 月獲得印度新德里科技部女性科學家計畫 A（DST/WOS-A）的「女性科學家獎學金」。最近，在 2024 年 10 月，Shah 博士受邀擔任 IEEE HTC 25 在日本千葉大學舉辦的逆疫苗學研討會的專家講者及計畫協調員，並於同月在馬來西亞吉隆坡的 IEEE HTC 24 擔任相同角色。此外，她還作為 Erasmus Plus 教職員，參加了由歐盟資助的羅馬尼亞皮特什提大學的 Erasmus Plus 教職員流動計畫。她在癌症組學研究、人工智慧、機器學習、生物技術、生物資訊學和納米技術領域擁有 14 年的經驗。在此期間，她積極參與教學和癌症研究。Shah 博士還擔任幾家位於古吉拉特邦的癌症醫院的癌症遺傳學家及分子腫瘤委員會成員，專注於遺傳性癌症。她和她的團隊目前正在研究口腔癌、子宮頸癌和乳腺癌。她是古吉拉特邦 Marwadi 大學 IEEE EMBS（醫學與生物工程）學生分會的顧問，也是古吉拉特區的 IEEE WIE（女性工程師）成員。她是美國癌症研究協會（AACR）的副會員，並擔任 COVID-19 組學研究聯盟（CORC）的科學解碼員。她擁有超過 67 篇出版物，並由 Springer Nature 出版了 2 本關於口腔癌和子宮頸癌的專著，擁有 9 項專利以及多個來自不同資助機構的研究項目。

Dr. Rohit Thanki 是人工智慧、醫療資訊學和數位健康的專家，擁有在印度、中東和德國的企業 AI 和醫療保健 AI 的經驗。之前，他在 KRiAN GmbH 擔任高級領導職位，開發了 CE 認證的醫療器械軟體（SaMD）用於醫療診斷和康復。他還曾擔任位於迪拜的 Prognica Labs 的研究與開發部門負責人，專注於基於 AI 的乳腺癌篩檢解決方案。他擁有印度 C. U. Shah 大學的電子與通信工程博士學位，研究主題為隱私保護的多生物特徵系統。他還擁有電子與通信工程的學士和碩士學位。他的研究興趣包括醫療保健的可解釋 AI、醫學影像、生物醫學信號處理、多模態和生成 AI 系統，以及符合規範的臨床 AI 代理。他參與了涵蓋 X 光、CT、MRI、超聲波、乳腺攝影、組織病理學和生理數據分析的 AI 系統開發。他曾在印度擔任助理教授和訪問講師，教授影像處理、信號處理、通信系統、導航和雷達通信、衛星通信及 VLSI 課程。他在博士考試委員會任職，並在印度和德國指導研究生研究。他已發表超過 110 篇 Scopus 索引的文章和 20 本學術書籍，擁有超過 1,800 次引用和良好的 h 指數。他是 IEEE 的高級會員，BMC Digital Health 和 PLOS One 的編輯委員會成員，並且是多本領先期刊的活躍同行評審。