Generative AI in Healthcare: Transforming Diagnostics, Treatment, and Patient Outcomes
暫譯: 醫療保健中的生成式 AI：革新診斷、治療與病患成果

本書彙集了人工智慧、臨床照護與公共衛生交會領域的前沿研究。除了探討生成式 AI（包括大型語言模型）的影響，也深入分析公平性、穩健性、可擴展性與可解釋性等更廣泛的挑戰。

本書各章探討：

• 生成式 AI 在醫療保健與醫學領域的應用

• 降低偏見並提升臨床 AI 公平性的策略

• 讓模型預測更具可解釋性與可問責性的工具

• 進行大規模實際部署的方法

• 以人為本，以及用於實現負責任 AI 的治理架構

本書不僅聚焦於孤立的應用案例或單純的技術效能，而是提供系統層級的觀點，將計算創新與臨床及倫理相關性連結起來。

本書專為研究人員、醫療專業人員與創新者設計，為所有希望在健康照護情境中負責任地開發或導入 AI 的讀者，提供關鍵洞見。

Dr. Arash Shaban-Nejad is a leading expert in population and precision health informatics. He is currently an Associate Professor and Director of Population and Precision Health at the UTHSC-Oak Ridge National Laboratory Center for Biomedical Informatics, Department of Pediatrics, University of Tennessee Health Science Center. Dr. Shaban-Nejad received his PhD and MSc in Computer Science from Concordia University, Canada, and an MPH from UC Berkeley, along with post-doctoral training at McGill University and additional training at Harvard School of Public Health. His interdisciplinary research focuses on health AI, explainable AI, large language models, predictive modeling, epidemiologic surveillance, and causal reasoning. He has published extensively, and his research has been funded by several federal, state, and international funding agencies. Dr. Shaban-Nejad is a founding chair of the AAAI International Workshop on Health Intelligence and the lead editor of multiple book volumes on the applications of AI in healthcare and medicine.

Dr. Martin Michalowski is a Foundation Research Professor in the School of Nursing at the University of Minnesota, where he co-directs the Center for Nursing Informatics and the Digital Health Lab. With a PhD in Computer Science from the University of Southern California, he applies advanced AI techniques, ranging from heuristic planning to large language models, in nursing informatics and personalized medicine. He co-leads the Nursing and AI Leadership Collaborative and the Mobile Emergency Triage (MET) research group, and has been recognized as a Fellow of the American Medical Informatics Association and the International Academy of Health Sciences Informatics. With more than 100 publications and as a founding chair of the International Workshop on Health Intelligence and co-chair of the AIME society, Dr. Michalowski has helped shape global dialogue on digital health innovation. His work is funded by NIH, NSF, DARPA, and DoD, and has led to award-winning papers and startup ventures.

Dr. Simone Bianco is Vice President of Computation at Altos Labs, Bay Area Institute of Science, where he leads interdisciplinary research bridging biology, computational science, and regenerative medicine. Previously, he led synthetic biology and vaccine discovery efforts at IBM Research Almaden, contributing to multiple patents in systems biology and AI. Trained as a physicist, Dr. Bianco earned his degree from the University of Pisa and his PhD from the University of North Texas. His academic journey includes faculty positions at the College of William and Mary and UCSF, and he is a founding PI of the NSF Center for Cellular Construction. A TED speaker with over one million views, he actively promotes inclusive education and serves on the board of the PINC program at San Francisco State University. Dr. Bianco is also a co-chair of the AAAI International Workshop on Health Intelligence.

Arash Shaban-Nejad 博士是人口健康與精準健康資訊學領域的頂尖專家。目前，他擔任田納西大學健康科學中心（University of Tennessee Health Science Center）兒科系 UTHSC-Oak Ridge National Laboratory 生物醫學資訊學中心的副教授，以及人口健康與精準健康部門主任。Shaban-Nejad 博士取得加拿大 Concordia University 的 Computer Science 博士與碩士學位，並取得 UC Berkeley 的公共衛生碩士學位；此外，他曾在 McGill University 接受博士後訓練，並於 Harvard School of Public Health 接受進階訓練。他的跨學科研究聚焦於健康 AI、可解釋 AI、大型語言模型、預測建模、流行病學監測與因果推理。他發表了大量研究成果，研究經費則來自多個聯邦、州政府與國際資助機構。Shaban-Nejad 博士是 AAAI International Workshop on Health Intelligence 的創始主席，也是多本探討 AI 在醫療保健與醫學領域應用之書籍的主要編輯。

Martin Michalowski 博士是 University of Minnesota School of Nursing 的 Foundation Research Professor，並共同主持 Center for Nursing Informatics 與 Digital Health Lab。他持有 University of Southern California 的 Computer Science 博士學位，將從啟發式規劃到大型語言模型等先進 AI 技術，應用於護理資訊學與個人化醫療。他共同領導 Nursing and AI Leadership Collaborative 及 Mobile Emergency Triage（MET）研究團隊，並獲選為 American Medical Informatics Association 與 International Academy of Health Sciences Informatics 的 Fellow。Michalowski 博士擁有超過 100 篇出版品，是 International Workshop on Health Intelligence 的創始主席，也是 AIME society 的共同主席，致力於形塑全球數位健康創新的對話。他的研究獲 NIH、NSF、DARPA 與 DoD 資助，並促成多篇獲獎論文及多家新創公司的成立。

Simone Bianco 博士是 Altos Labs 旗下 Bay Area Institute of Science 的計算科學副總裁，負責領導結合生物學、計算科學與再生醫學的跨學科研究。在此之前，他曾於 IBM Research Almaden 領導合成生物學與疫苗探索工作，並在系統生物學與 AI 領域促成多項專利。Bianco 博士受過物理學訓練，取得 University of Pisa 的學位，以及 University of North Texas 的博士學位。他的學術歷程包括曾於 College of William and Mary 與 UCSF 擔任教職，並擔任 NSF Center for Cellular Construction 的創始主要研究人員（PI）。他曾擔任 TED 講者，相關演講觀看次數超過一百萬次；他也積極推動共融教育，並擔任 San Francisco State University PINC program 的董事會成員。Bianco 博士同時也是 AAAI International Workshop on Health Intelligence 的共同主席。