{"title":"Takanobu Hirosawa","description":"\u003cp\u003e\u003c\/p\u003e\u003cp\u003eAssociate Professor Hirosawa began his academic journey at the esteemed University of Tokyo, where he earned a bachelor's degree in aerospace engineering. Subsequently, he pursued higher education in medicine, securing his M.D. from the University of Tsukuba. It was during this period that he developed a profound passion for clinical knowledge and began grappling with the critical challenges intrinsic to the medical domain. To further deepen his engagement with digital health, he pursued and attained a Ph.D. from Dokkyo Medical University, focusing on AI's applications in healthcare. His research has primarily centered on digital health solutions, such as AI-assisted diagnostic tools. He has authored multiple publications on the integration of AI in diagnostics and has been actively involved in peer-review processes for journals related to digital health. His work aims to bridge the gap between clinical practice and emerging technologies, with the goal of enhancing patient care through innovative AI solutions.\u003c\/p\u003e","products":[{"product_id":"artificial-intelligence-in-medical-diagnostics-takanobu-hirosawa-ebook","title":"Artificial Intelligence in Medical Diagnostics","description":"\u003cp\u003e\u003cspan style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-IN; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003eChapter 1 Introduction to Medical Diagnosis.- Chapter 2 Historical Evolution of Diagnostic Techniques.- Chapter 3 Overview of Diagnostic Clinical Decision Support Systems.- Chapter 4 Overview of AI and Generative AI.- Chapter 5 The Potential of AI in Diagnostics.- Chapter 6 Bridging the Gap: Collaboration Between AI Developers and Health Care Professionals.- Chapter 7 Useful Concept of AI in Diagnostics.- Chapter 8 Understanding Core AI Concepts: Machine Learning, Overfitting, and Quantification.- Chapter 9 Case Studies in AI-Enhanced Diagnostics.- Chapter 10 The Limitations of AI in Diagnostics.- Chapter 11 Ethical and Regulatory Considerations in AI Diagnostics.- Chapter 12 Interdisciplinary Collaboration for AI Development.- Chapter 13 Challenges and Solutions in AI Deployment.- Chapter 14 Training and Education for AI in Health Care.- Chapter 15 The Future Direction of AI in Diagnostics.\u003cbr style=\"mso-special-character: line-break;\"\u003e\u003c!--[endif]--\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Takanobu Hirosawa","offers":[{"title":"Default Title","offer_id":53653043773767,"sku":"9789819543380","price":117.69,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/artificial-intelligence-in-medical-diagnostics-ebook-cover.webp?v=1775391653"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/collections\/takanobu-hirosawa-autor-kollektion.webp?v=1775391651","url":"https:\/\/www.cinebuch.de\/collections\/takanobu-hirosawa.oembed","provider":"CineBuch","version":"1.0","type":"link"}