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Handbook of Artificial Intelligence in Healthcare
Artificial Intelligence (AI) has transformed many aspects of our daily activities. Health and well-being of humans stand as one of the key domains where AI has achieved significant progresses, saving time, costs, and potentially lives, as well as fostering economic resilience, particularly under the COVID-19 pandemic environments. This book is a sequel of the Handbook of Artificial Intelligence in Healthcare. The first volume of the Handbook is dedicated to present advances and applications of AI methodologies in several specific areas, i.e., signal, image, and video processing as well as information and data analytics. In this second volume of the Handbook, general practicality challenges and future prospects of AI methodologies pertaining to healthcare and related domains are presented in Part 1 and Part 2, respectively. It is envisaged that the selected studies will provide readers a general perspective on the issues, challenges, and opportunities in designing, developing, and implementing AI-based tools and solutions in the healthcare sector, bringing benefits to transform and advance health and well-being development of humans..
Artificial Intelligence for Medicine
Artificial Intelligence for Medicine: An Applied Reference for Methods and Applications introduces readers to the methodology and AI/ML algorithms as well as cutting-edge applications to medicine, such as cancer, precision medicine, critical care, personalized medicine, telemedicine, drug discovery, molecular characterization, and patient mental health. Research in medicine and tailored clinical treatment are being quickly transformed by artificial intelligence (AI) and machine learning (ML). The content in this book is tailored to the reader's needs in terms of both type and fundamentals. It covers the current ethical issues and potential developments in this field. Artificial Intelligence ...
Engineering Mathematics and Artificial Intelligence
Explains the theory behind Machine Learning and highlights how Mathematics can be used in Artificial Intelligence Illustrates how to improve existing algorithms by using advanced mathematics and discusses how Machine Learning can support mathematical modeling Captures how to simulate data by means of artificial neural networks and offers cutting-edge Artificial Intelligence technologies Emphasizes the classification of algorithms, optimization methods, and statistical techniques Explores future integration between Machine Learning and complex mathematical techniques
Extended Reality
This two-volume set LNCS 14218 and LNCS 14219 constitutes the refereed proceedings of the International Conference on Extended Reality, XR Salento 2023, held in Lecce, Italy, during September 6-9, 2023. The 60 full papers presented together with 11 short papers were carefully reviewed and selected from 97 submissions. They cover a wide range of many different research topics such as: eXtended reality; digital twin; artificial intelligence; user experience in eXtended reality; virtual reality for neurofeedback, biofeedback and emotion recognition; eXtended reality in education; eXtended reality and metaverse in cultural heritage; eXtended reality in health and medicine; and eXtended reality in industrial field.
L'invenzione dell'io
Cosa mi ha portato a essere ciò che sono? Sarei diventato un altro in condizioni migliori? Perché, per esempio, un tempo ero un simpatico estroverso e ora sono chiuso e ombroso? Oppure perché reagisco in modo troppo emotivo o aggressivo alle critiche? Cosa mi rende più felice? E come proteggermi dai condizionamenti negativi? Le domande che ci investono quando tentiamo di capire più a fondo la nostra identità sono molteplici e dargli risposta è spesso cruciale per l’equilibrio psicofisico e la riuscita nella vita. Psicologi, neuroscienziati e sociologi stanno cercando da tempo di scoprire come prende forma l’essenza di un individuo. L’Io infatti non è una dimensione fissa. Anche...
