Details

Autor(en) / Beteiligte

• Collecchia, Giampaolo,
• Gobbi, Riccardo De,

Titel

AI in clinical practice : a guide to artificial intelligence and digital medicine

Auflage

First edition

Ort / Verlag

Kidlington, England : Elsevier Inc.,

Erscheinungsjahr

[2024]

Beschreibungen/Notizen

• Includes bibliographical references and index.
• Front Cover -- AI in Clinical Practice -- Copyright Page -- Dedication -- Contents -- Foreword -- Presentation -- Acknowledgment -- Introduction -- References -- 1 Artificial intelligence: "What are we talking about" -- 1 What does artificial intelligence mean? -- References -- 2 How does Artificial Intelligence work? -- Summary -- The fundamentals -- Machine learning -- Deep learning-neural networks -- The black box model: AI is like the brain: you cannot cut off your head and see how it works -- The Joker of statistics: Bayes -- Evolutionary adaptation software and genetic algorithms -- Neural networks and deep learning in reading images -- Like humans do -- As the perfect digital cameras do -- References -- 3 The limits of algorithms -- It is not the technologies that are decisive but the ability to extract value from their use -- Possible criticalities related to the use of artificial intelligence systems in medicine [6] -- The limits of predictive models -- Do algorithms photograph reality? -- The doctor-patient relationship, or "clinicians without a pattern" -- Epidemiology in wonderland -- In conclusion&amp -- mldr -- -- References -- 4 The cognitive biases of the digital world that are transforming our minds -- The enlarged mind -- From sequential man to simultaneous man -- The illusion of digital omnipotence -- The overconfidence -- Meta-ignorance -- The law of least effort -- Conclusion -- References -- 5 Chance/case or chaos: why is it important for us to know and distinguish them -- Chaos and case/chance: concluding reflections -- References -- 2 The world of sensors -- 6 A tsunami of data: when the data is perhaps too much -- References -- 7 Wearable devices and the Internet of Things -- Summary -- Wearable devices -- Fields of application -- The most classic areas -- The Internet of Things -- Reflections -- References.
• 8 The sentry watch -- Summary -- The Apple Watch electrocardiogram -- Reflections -- References -- 3 Digital intelligence and health -- 9 Diagnostics and decision-making systems -- Summary -- Applications in the radiological field -- The diagnosis of respiratory diseases: some commented paradigmatic studies -- Conclusions -- The simple chest X-ray as a predictor of mortality -- Comment -- Breast cancer diagnostics -- Applications in oncology: Watson for oncology -- Applications in the anatomopathological field -- The limits of AI in cytological and histopathological diagnostics -- Applications in the dermatological field -- Applications in ophthalmology -- Applications in the cardiology field -- Applications in the gastroenterological field -- Applications in the neurological field -- Applications at the level of health systems -- Applications in the genetic field -- References -- 10 Applications of AI in the psychological and psychiatric fields: what the experts offer us -- Summary -- The "digital" in the psychological-psychiatric field: history helps us to understand and recognize potentials and dangers -- In the beginning, it was almost a game -- Decades later it, went even better with a video game -- Even the very authoritative nice has expressed itself in favor -- Is virtual reality better than psychotherapy? -- Avatars beyond psychotherapy? -- But the apps are already spreading -- Reflections -- Psychological and psychiatric diagnostics through the study of facial expressions -- References -- 11 From personalized medicine to precision medicine -- Summary -- Limitations of precision medicine -- The need for new methodologies -- Final considerations -- References -- 12 The search for new drugs -- Summary -- References -- 13 Digital therapeutics -- Summary -- Mode of action -- Therapeutic indications -- Regulation -- Conclusions -- References.
• 14 Virtual reality: the great therapeutic potential and the possible risks -- Summary -- What happens when you enter the virtual-digital neo-reality -- The original characteristics of the mental processes in people involved in virtual reality experiences -- Potential adverse effects -- Didactic applications: the training of doctors -- The barriers to practical use -- Augmented reality -- The enhancement of our cognitive faculties and the management of our emotions -- The therapeutic applications of virtual-digital reality -- Neurological diseases -- Applications in psychiatry -- Phobias -- Post traumatic stress disorder -- Gambling and Internet addiction -- The psychoses -- Reflections -- References -- 15 The robotic assistance system -- Summary -- The actual impact on assisted people and their families -- Homo roboticus and sapiens sapiens -- Reflections -- References -- 16 Will "amplifying technology" really expand our knowledge? what is amplifying technology? -- Does perceiving more always mean knowing and understanding more? -- References -- 17 Diagnosis by images. The recognition of images in humans and in artificial intelligence systems -- Humans -- Digital images -- Visual recognition systems -- Images in digital diagnosis -- References -- 18 Machine learning, deep learning, and clinical studies -- Study validity -- Results -- Notes -- References -- 19 At the end of the journey&amp -- mldr -- Conclusive reflections -- References -- 20 ChatGPT is beginning to change medicine -- ChatGPT: How does it work? -- References -- Glossary -- References -- Index -- Back Cover.
• AI in Clinical Practice: A Guide to Artificial Intelligence and Digital Medicine explains how artificial intelligence is applied to medicine, illustrating not only its enormous potential but also ancillary issues and the limits and risks inherent in its use on a large scale. The book focuses on the intersection between medicine and AI and its implications on the impact of human health care delivery. Topics discussed include wearable devices, health data, Internet of Things, virtual reality, robotic assistance system, and digital intelligence in the health sector. Additionally, sections discuss diagnostics and decision-making systems and machine/deep learning in clinical setting. This is a valuable resource for clinicians, researchers, students and members of the biomedical and medical fields who want to learn more about the use of AI to improve patient care.
• Description based on print version record.