Image Based Digital Tools For Diagnosis And Surgical Treatment Applications Challenges And Prospects
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Image Based Digital Tools For Diagnosis And Surgical Treatment Applications Challenges And Prospects
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Author : Laura Cercenelli
language : en
Publisher: Frontiers Media SA
Release Date : 2025-06-18
Image Based Digital Tools For Diagnosis And Surgical Treatment Applications Challenges And Prospects written by Laura Cercenelli and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-18 with Technology & Engineering categories.
Image-based digital tools include a range of technologies such as 3D modeling, 3D printing, Virtual Reality (VR), and Augmented Reality (AR), originating from a common data source, i.e. patient diagnostic imaging. Also, artificial intelligence (AI) is a rapidly increasing technology that can be applied to diagnostic imaging. In recent years these tools have attracted great attention in the medical field to support preoperative planning, intraoperative guidance, diagnostics, and therapeutics, as well as for educational purposes. Indeed, interventional procedures and surgery applications are being developed to display virtual medical images and patient-specific 3D virtual models that can be manipulated before the intervention. These virtual anatomical models can be used to build physical replicas and/or to design patient-specific surgical tools and therapeutic devices using advanced 3D printing technologies. The virtual models can also be visually overlaid, fused, or integrated into reality using AR. With AR visualization, different types of virtual information can be projected in the surgeon’s line of view, facilitating navigation and decision-making. Also, AI applied to diagnostic medical images is expected to produce significant innovations, such as more efficient automatic image scan and processing and a more efficient examination and diagnosis workflow.
Whole Slide Imaging
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Author : Anil V. Parwani
language : en
Publisher: Springer Nature
Release Date : 2021-10-29
Whole Slide Imaging written by Anil V. Parwani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-29 with Medical categories.
This book provides up-to-date and practical knowledge in all aspects of whole slide imaging (WSI) by experts in the field. This includes a historical perspective on the evolution of this technology, technical aspects of making a great whole slide image, the various applications of whole slide imaging and future applications using WSI for computer-aided diagnosis The goal is to provide practical knowledge and address knowledge gaps in this emerging field. This book is unique because it addresses an emerging area in pathology for which currently there is only limited information about the practical aspects of deploying this technology. For example, there are no established selection criteria for choosing new scanners and a knowledge base with the key information. The authors of the various chapters have years of real-world experience in selecting and implementing WSI solutions in various aspects of pathology practice. This text also discusses practical tips and pearls to address the selection of a WSI vendor, technology details, implementing this technology and provide an overview of its everyday uses in all areas of pathology. Chapters include important information on how to integrate digital slides with laboratory information system and how to streamline the “digital workflow” with the intent of saving time, saving money, reducing errors, improving efficiency and accuracy, and ultimately benefiting patient outcomes. Whole Slide Imaging: Current Applications and Future Directions is designed to present a comprehensive and state-of the-art approach to WSI within the broad area of digital pathology. It aims to give the readers a look at WSI with a deeper lens and also envision the future of pathology imaging as it pertains to WSI and associated digital innovations.
Digital Orthodontics Ai Cad Cam And 3d Technologies
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Author : Dr. Chetan Dilip Patil
language : en
Publisher: Prachi Digital Publication
Release Date : 2025-03-25
Digital Orthodontics Ai Cad Cam And 3d Technologies written by Dr. Chetan Dilip Patil and has been published by Prachi Digital Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-25 with Medical categories.
Orthodontics, as a specialized field of dentistry, has evolved remarkably since its inception, transitioning from primitive mechanical devices to highly sophisticated digital technologies. The earliest forms of orthodontic treatment can be traced back to ancient civilizations, where rudimentary techniques such as metal bands and wires were utilized to correct dental irregularities. However, it was not until the late 19th and early 20th centuries that orthodontics began to emerge as a formal discipline, largely due to the pioneering work of Edward H. Angle, known as the “father of modern orthodontics”.
Digital Transformation In Healthcare 5 0
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Author : Rishabha Malviya
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-05-20
Digital Transformation In Healthcare 5 0 written by Rishabha Malviya and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-20 with Computers categories.
The book "Digital Transformation in Healthcare 5.0: Metaverse, Nanorobots, and Machine Learning" is a comprehensive discussion of disruptive technologies and their applications in healthcare. The book starts with an overview of blockchain technology's impact on the healthcare sector, emphasizing its potential to improve data security and interoperability. The book also discusses the Metaverse's role in healthcare transformation, utilizing a blockchain method to improve patient care and medical practices. The book also focuses on the interrelationships of Blockchain-Enabled Metaverse Healthcare Systems and Applications, highlighting innovative strategies. It also introduces an Intraocular Pressure Monitoring System for Glaucoma Patients, demonstrating the integration of IoT and Machine Learning for improved care. The book winds up with a Machine Learning Approach to Voice Analysis in Parkinson's disease Diagnosis, demonstrating the potential of voice analysis as a non-invasive diagnostic tool.
Clinical Applications Of Digital Dental Technology
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Author : Radi Masri
language : en
Publisher: John Wiley & Sons
Release Date : 2022-12-12
Clinical Applications Of Digital Dental Technology written by Radi Masri and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-12 with Medical categories.
Clinical Applications of Digital Dental Technology Comprehensive overview of digital dentistry describing available technologies and when/how to use digital dentistry in practice Clinical Applications of Digital Dental Technology provides comprehensive yet practical references to a wide range of potential uses for digital technology in dental practice, discussing a wide range of digital technologies including their indications, contraindications, advantages, disadvantages, limitations, and applications. Overall, the book emphasizes how to use digital dentistry in daily practice across all specialties. With broad coverage of the subject, Clinical Applications of Digital Dental Technology discusses digital imaging, digital impressions, digital prosthodontics, digital implant planning and placement, and digital applications in endodontics, orthodontics, and oral surgery. Each chapter is written by experts in each topic and covers applications for prosthodontics, implant dentistry, oral surgery, endodontics, orthodontics, and other specialty areas. Clinical Applications of Digital Dental Technology also includes information on: Software, scanning, and manufacturing capabilities which have led to an unparalleled revolution leading to a major paradigm shift in all aspects of dentistry Digital radiography, virtual planning, computer-aided design and manufacturing, digital impressions, digitally fabricated dentures, and the “virtual patient” Available technologies, plus a critical evaluation of each one to detail how they are incorporated in daily practice across all specialties Developing technologies in the field with special attention paid to those expected to be on the market sometime in the near future Clinical Applications of Digital Dental Technology is an essential resource for general dentists, specialists, and students who wish to understand digital dentistry and efficiently and intelligently incorporate it into their practices. The text is also useful for laboratory technicians interested in recent digital advances in the dental field.
Application Of Bioinformatics In Cancers
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Author : Chad Brenner
language : en
Publisher: MDPI
Release Date : 2019-11-20
Application Of Bioinformatics In Cancers written by Chad Brenner and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-20 with Medical categories.
This collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immiscible. Accordingly, the series presented here bring forward a wide range of artificial intelligence approaches and statistical methods that can be applied to imaging and genomics data sets to identify previously unrecognized features that are critical for cancer. Our hope is that these articles will serve as a foundation for future research as the field of cancer biology transitions to integrating electronic health record, imaging, genomics and other complex datasets in order to develop new strategies that improve the overall health of individual patients.
Tissue Phenomics Profiling Cancer Patients For Treatment Decisions
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Author : Gerd Binnig
language : en
Publisher: CRC Press
Release Date : 2018-01-29
Tissue Phenomics Profiling Cancer Patients For Treatment Decisions written by Gerd Binnig and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-29 with Medical categories.
In the age of digitization our society is transformed into a new state. In particular, machine intelligence dramatically elevates our capability to create and digest information. Naturally, healthcare is also impacted by this trend and will even be more transformed into a informatic driven discipline in the future. In the most important area of histo-pathology, the interpretation of tissue slices from cancer patients, informatics will have an early and huge impact on treatment decisions and probably will act as the leading discipline for this transformation in medicine. Tissue Phenomics provides a comprehensive methodology aiming at the discovery of the most accurate tissue-based decision support algorithm by close integration of assay development, image analysis and bioinformatics, and optimization feedback loops. In this book the methodology of Tissue Phenomics and its benefits and wealth’s are described. The different components of Tissue Phenomics are explained in the different chapters. In the chapters 2 to 4 of this book different authors describe various approaches on how to convert the wealth of tissue slide pixel data into mineable information using knowledge-based and data-driven image analysis methods. Subsequently, the datafication of images and the bioinformatics part plays a crucial role in generating prognostic and predictive models for disease progression. The integration of other data sources such as genomics, radiomics and patient related information is also important and is described as well. As discussed in chapters 5 and 6, these models may classify patients in distinct groups such as those responding to a given therapy. Since Tissue Phenomics provides a huge set of potentially prognostic features (phenes), one focus of both chapters is robust feature selection methods by advanced Monte-Carlo cross validation algorithms. In chapter 7 we discuss multiple application examples of Tissue Phenomics in academic and commercial settings and its tremendous impact to advances in biomedical sciences. Building on the successes in research, chapters 8 and 9 discuss applications in clinical environments and provide a flavor to the future envision in chapter 10, where tissue datafication and subsequent patient profiling is part of every routine examination, with the goal to best match patients with the most successful therapy, as predicted by tissue phenes.
Artificial Intelligence In Clinical Practice
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Author : Chayakrit Krittanawong
language : en
Publisher: Elsevier
Release Date : 2023-09-13
Artificial Intelligence In Clinical Practice written by Chayakrit Krittanawong and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-13 with Science categories.
Artificial Intelligence in Clinical Practice: How AI Technologies Impact Medical Research and Clinics compiles current research on Artificial Intelligence within medical subspecialties, helping practitioners with diagnosis, clinical decision-making, disease prediction, prevention, and the facilitation of precision medicine. The book defines the basic concepts of big data and AI in medicine and highlights current applications, challenges, ethical issues, and biases. Each chapter discusses AI applied to a specific medical subspecialty, including primary care, preventive medicine, general internal medicine, radiology, pathology, infectious disease, gastroenterology, cardiology, hematology, oncology, dermatology, ophthalmology, mental health, neurology, pulmonary, critical care, rheumatology, surgery, and OB-GYN. This is a valuable resource for clinicians, students, researchers and members of medical and biomedical fields who are interested in learning more about artificial intelligence technologies and their applications in medicine. - Provides the history and overview of the various modalities of AI and their applications within each field of medicine - Discusses current AI-based medical research, including landmark trials within each field of medicine - Addresses the current knowledge gaps that clinicians commonly face that prevent the application of AI-based research to clinical practice - Encompasses examples of specific cases and discusses challenges and biases associated with AI
Application Of Radiomics In Understanding Tumor Biological Behaviors And Treatment Response
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Author : Sweet Ping Ng
language : en
Publisher: Frontiers Media SA
Release Date : 2023-09-19
Application Of Radiomics In Understanding Tumor Biological Behaviors And Treatment Response written by Sweet Ping Ng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-19 with Medical categories.
The Era Of Artificial Intelligence Machine Learning And Data Science In The Pharmaceutical Industry
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Author : Stephanie K. Ashenden
language : en
Publisher: Academic Press
Release Date : 2021-04-23
The Era Of Artificial Intelligence Machine Learning And Data Science In The Pharmaceutical Industry written by Stephanie K. Ashenden and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-23 with Computers categories.
The Era of Artificial Intelligence, Machine Learning and Data Science in the Pharmaceutical Industry examines the drug discovery process, assessing how new technologies have improved effectiveness. Artificial intelligence and machine learning are considered the future for a wide range of disciplines and industries, including the pharmaceutical industry. In an environment where producing a single approved drug costs millions and takes many years of rigorous testing prior to its approval, reducing costs and time is of high interest. This book follows the journey that a drug company takes when producing a therapeutic, from the very beginning to ultimately benefitting a patient's life. This comprehensive resource will be useful to those working in the pharmaceutical industry, but will also be of interest to anyone doing research in chemical biology, computational chemistry, medicinal chemistry and bioinformatics. - Demonstrates how the prediction of toxic effects is performed, how to reduce costs in testing compounds, and its use in animal research - Written by the industrial teams who are conducting the work, showcasing how the technology has improved and where it should be further improved - Targets materials for a better understanding of techniques from different disciplines, thus creating a complete guide