Large Language Models For Medical Applications
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Large Language Models For Medical Applications
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Author : Ariel Soares Teles
language : en
Publisher: Frontiers Media SA
Release Date : 2025-06-17
Large Language Models For Medical Applications written by Ariel Soares Teles 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 2025-06-17 with Medical categories.
Large Language Models (LLMs) have revolutionized various domains with their capabilities to understand, generate, and process human language at scale. In the realm of healthcare, LLMs hold immense potential to transform how medical information is analyzed, communicated, and utilized. This Research Topic delves into the applications, challenges, and future prospects of employing LLMs in medical settings. The adoption of LLMs in medical settings holds the promise of enhancing clinical workflows, improving patient outcomes, and facilitating more informed decision-making processes. These models, built upon vast corpora of medical literature, patient records, and clinical guidelines, possess the capacity to sift through and distil complex information, providing health professionals with timely insights and recommendations tailored to individual patient needs.
Artificial Intelligence Empowered Bio Medical Applications
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Author : Dimitrios P. Panagoulias
language : en
Publisher: Springer Nature
Release Date : 2025-07-19
Artificial Intelligence Empowered Bio Medical Applications written by Dimitrios P. Panagoulias and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-19 with Technology & Engineering categories.
The book delves into advancements in personalized medicine, highlighting the transition from generalized treatments to tailored strategies through AI and machine learning. It first emphasizes the role of biomarkers in training predictive models and neural networks, enhancing disease diagnosis and patient management. It then explores AI-driven healthcare systems, particularly the use of microservices to improve scalability and management. Additionally, it examines regulatory challenges, the need for AI explainability, and the PINXEL framework, which defines explainability requirements using the technology acceptance model (TAM) and the diffusion of innovation theory (DOI). Furthermore, the book evaluates the capabilities of large language models, including ChatGPT and GPT-4V, in medical applications, with a focus on diagnosis and structured assessments in general pathology. Lastly, it introduces an AI-powered system for primary care diagnosis that integrates language models, machine learning, and rule-based systems. The interactive AI assistants “Med|Primary AI assistant” and “Dermacen Analytica” leverage natural language processing, image analysis, and multi-modal AI to enhance patient interactions and provide healthcare professionals with high-accuracy, personalized diagnostic support. By taking a holistic approach, the book underscores the integration of AI into healthcare, aiming to support medical professionals in patient diagnosis and management with precision and adaptability.
Large Language Models For Automatic Deidentification Of Electronic Health Record Notes
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Author : Jitendra Jonnagaddala
language : en
Publisher: Springer Nature
Release Date : 2025-01-25
Large Language Models For Automatic Deidentification Of Electronic Health Record Notes written by Jitendra Jonnagaddala and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-25 with Computers categories.
This volume constitutes the refereed proceedings of the International Workshop on Deidentification of Electronic Health Record Notes, IW-DMRN 2024, held on January 15, 2024, in Kaohsiung, Taiwan. The 15 full papers were carefully reviewed and selected from 30 submissions. The conference focuses on medical data analysis, enhancing medication safety, and optimizing medical care efficiency.
Artificial Intelligence In Medicine And Surgery
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Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2024-11-20
Artificial Intelligence In Medicine And Surgery written by and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-20 with Computers categories.
Never before in human history has the opportunity to create a better future look more real or promising. The information-technology revolution that started in the mid-twentieth century with the introduction of the transistor, and then the integrated circuit, has gradually transformed into the Internet revolution, then the blockchain revolution, and now is transforming again into the artificial intelligence (AI) revolution. Why is now such a pivotal time, with so much optimism for a better future? The answer is complex and multifaceted. Perhaps most importantly, the introduction of low-cost, AI-enabled technological advances creates an ideal environment for the rapid attainment of global equity across multiple sectors of society and economy. Healthcare in general and medicine in particular stand to benefit tremendously from this new, previously unavailable capacity—a result of the synergistic effects of modern, cutting-edge technologies working together. For example, greater access to decentralized, locally based, AI-aided/facilitated medical education may help fulfill the dreams of individuals who previously were not able to become physicians. In another example, increasing the use of point-of-care AI/ML in the clinical setting promises to bring true precision medicine to populations that previously did not have adequate access to healthcare in general. The level of positive disruption possible with optimized, ethical, and thoughtful implementation of AI in healthcare may produce constructive ripple effects not dissimilar to the introduction of cellular telephony into areas of the world without prior telephone access. This book discusses both current trends and future developments in AI/ML across healthcare, with a focus on the transformational impact of this emerging technological domain on enhancing the access, accuracy, education, equity, quality, safety, and value of modern care delivery.
Data Science And Information Security
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Author : Hai Jin
language : en
Publisher: Springer Nature
Release Date : 2024-04-02
Data Science And Information Security written by Hai Jin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-02 with Computers categories.
This 3-volume set, CCIS 2058-2060 constitutes the First International Conference, on Artificial Intelligence, IAIC 2023, held in Nanjing, China, in November 2023. The 85 full papers presented were carefully reviewed and selected from 428 submissions. The papers are clustered in parts on: Artificial Intelligence and Machine Learning; Data Security and information Security; Computer Networks and IoT. The papers present recent research and developments in artificial intelligence and its applications in machine learning, natural language processing, computer vision, robotics, and ethical considerations.
Ethical Considerations And Bias Detection In Artificial Intelligence Machine Learning Applications
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Author : Jayesh Rane
language : en
Publisher: Deep Science Publishing
Release Date : 2025-07-10
Ethical Considerations And Bias Detection In Artificial Intelligence Machine Learning Applications written by Jayesh Rane and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-10 with Computers categories.
At a time when artificial intelligence (AI) and machine learning (ML) are used to make sensitive societal decisions such as the ones related to criminal justice, healthcare, finance, education, employment, algorithmic fairness and bias mitigation are among the most important but challenging issues at hand. The goal of this book is to provide a holistic view across various disciplines of the ethical base, detection methods, and technical measures for trustworthy AI systems. Starting from a solid foundation of statistical bias, transparency systems and fairness-aware ML models, this book methodically looks at state-of-the-art methodologies, where we highlight their shortcomings and introduce a unified model framework for detecting bias and transparent algorithms. Moving beyond technical diagnoses, it examines key sociotechnical and policy tools that are required to implement AI responsibly, providing guidance to researchers, engineers, policy makers, and organizational leaders. Literature review has been driven following the experimental case, the fairness trade-offs, intersectional bias, explainability and regulatory compliance are discussed in depth by the authors. This work underscores that fairness in automated decision-making systems depends not only on algorithmic accuracy, but also institutional will and stakeholder engagement. The chapters in this book function as both an academic primer and a resourceful handbook, transitioning readers through an ever-growing ethical AI terrain. Whether you are a data scientist building and deploying an algorithm that encourages ethical speech, or a regulator working to create and refine guidelines around such algorithms, this book provides you with both the tools and the understanding you need for ethical technology development and deployment.
Application Of Generative Ai In Healthcare Systems
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Author : Azadeh Zamanifar
language : en
Publisher: Springer Nature
Release Date : 2025-02-25
Application Of Generative Ai In Healthcare Systems written by Azadeh Zamanifar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-25 with Medical categories.
Generative AI has immensely influenced various fields, such as education, marketing, art and music, and especially healthcare. Generative AI can benefit the patient through various approaches. For instance, it can enhance the image qualities negatively affected by radiation reduction, preventing patients from needing to repeat the image-taking process. Also, the generation of one type of image from another more expensive one can help patients save funds. Generative AI facilitates the administrative process, letting the doctor focus more on the treatment process. It even goes further by helping medical professionals with diagnosis and decision- making, suggesting possible treatment plans according to the patient symptoms. This book introduces several practical GenAI healthcare applications, especially in medical imaging, pandemic prediction, synthetic data generation, clinical administration support, professional education, patient engagement, and clinical decision support, providing a review of efficient GenAI tools and frameworks in this area. GenAI empowers the treatment process through several methods; however, some ethical, privacy, and security challenges require attention. Despite the challenges presented, GenAI technological and inherited characteristics smooth the path of improvement for it in the future.
Ai Enabled Sustainable Innovations In Education And Business
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Author : Sorayyaei Azar, Ali
language : en
Publisher: IGI Global
Release Date : 2025-04-24
Ai Enabled Sustainable Innovations In Education And Business written by Sorayyaei Azar, Ali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-24 with Computers categories.
Sustainability for the future is an ever-present concern. Modern innovations in education and business are enhancing resources and technology for improved sustainability-driven solutions. Artificial intelligence (AI), specifically, is transforming education and business by providing real-time data processing systems for decision support and streamlining processes. As a result, educators and business leaders are better able to allocate resources and maximize their impact on students, industries, and customers in addition to sustainability. By fostering efficiency and sustainability in education and business, AI may also increase individual environmental awareness and social responsibility. AI-Enabled Sustainable Innovations in Education and Business discusses technological advancements in digital education and learning, and in various industries, including healthcare, finance, and supply chains. It highlights advanced innovations for environmental, economic, and operational sustainability. Covering topics such as information and communication technology (ICT), state government programs, and automated device management, this book is an excellent resource for business leaders, executives, managers, educators, school administrators, technologists, computer engineers, sustainability advocates, professionals, researchers, scholars, academicians, and more.
Artificial Intelligence In Medicine
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Author : Joseph Finkelstein
language : en
Publisher: Springer Nature
Release Date : 2024-07-26
Artificial Intelligence In Medicine written by Joseph Finkelstein and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-26 with Computers categories.
This two-volume set LNAI 14844-14845 constitutes the refereed proceedings of the 22nd International Conference on Artificial Intelligence in Medicine, AIME 2024, held in Salt Lake City, UT, USA, during July 9-12, 2024. The 54 full papers and 22 short papers presented in the book were carefully reviewed and selected from 335 submissions. The papers are grouped in the following topical sections: Part I: Predictive modelling and disease risk prediction; natural language processing; bioinformatics and omics; and wearable devices, sensors, and robotics. Part II: Medical imaging analysis; data integration and multimodal analysis; and explainable AI.
Cybernetic Avatar
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Author : Hiroshi Ishiguro
language : en
Publisher: Springer Nature
Release Date : 2024-11-15
Cybernetic Avatar written by Hiroshi Ishiguro and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-15 with Computers categories.
This open access book presents a vision of a future, where avatars play an integral role in shaping the fabric of our interconnected society. The book introduces the authors’ ongoing efforts to advance avatar technologies and is structured into nine chapters. Chapter 1 discusses the potentially revolutionary impact of cybernetic avatars (CAs) as a new medium of communication, liberating individuals from physical barriers and creating more flexible work environments. Chapters 2, 3, and 4 present developments in CAs with advanced autonomous functionality. Chapters 5 and 6 discuss the creation of a CA platform that connects multiple operators and CAs. Chapter 7 explores the physiological and neuroscientific effects of avatars and other media on operators and users. Finally, Chapters 8 and 9 discuss the societal implementation of CAs. This book is stemmed from one of the Moonshot R&D projects funded by the Japan Science and Technology Agency (JST).