Artificial intelligence in healthcare:
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London, United Kingdom ; San Diego, CA, United States ; Cambridge, MA, United States ; Kidlington, Oxford, United Kingdom
Academic Press, an imprint of Elsevier
[2020]
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| Schlagworte: | |
| Online-Zugang: | FLA01 FUBA2 TUM01 |
| Beschreibung: | Front Cover -- Artificial Intelligence in Healthcare -- Copyright Page -- Endorsement -- Contents -- List of contributors -- About the editors -- Biographies -- Preface -- About this book -- Intended audience -- How is this book organized -- Introduction -- The promise of an intelligent machine -- Current applications and challenges in healthcare -- 1 Current healthcare, big data, and machine learning -- 1.1 Current healthcare practice -- 1.1.1 The rising need for technology -- 1.1.2 New models in healthcare -- 1.2 Value-based treatments and healthcare services -- 1.2.1 Value-based healthcare 1.2.2 Increasing health outcomes -- 1.2.3 Patient-centered care (the patient will see you now) -- 1.2.4 Personalized medicine -- 1.3 Increasing data volumes in healthcare -- 1.3.1 Big data and data accumulation -- 1.3.2 Data generation sources -- 1.3.3 Big data types -- 1.4 Analytics of healthcare data (machine learning and deep learning) -- 1.4.1 Machine learning -- 1.4.2 Deep learning -- 1.5 Conclusions/summary -- References -- 2 The rise of artificial intelligence in healthcare applications -- 2.1 The new age of healthcare -- 2.1.1 Technological advancements 2.1.2 Artificial intelligence applications in healthcare -- 2.2 Precision medicine -- 2.2.1 Genetics-based solutions -- 2.2.2 Drug discovery and development -- 2.2.2.1 Drug property and activity prediction -- 2.2.2.2 De novo design through deep learning -- 2.2.2.3 Drug-target interactions -- 2.3 Artificial intelligence and medical visualization -- 2.3.1 Machine vision for diagnosis and surgery -- 2.3.1.1 Computer vision for diagnosis and surgery -- 2.3.2 Deep learning and medical image recognition -- 2.3.3 Augmented reality and virtual reality in the healthcare space 2.3.3.1 Education and exploration -- 2.3.3.2 Patient experience -- 2.4 Intelligent personal health records -- 2.4.1 Health monitoring and wearables -- 2.4.2 Natural language processing -- 2.4.3 Integration of personal records -- 2.5 Robotics and artificial intelligence-powered devices -- 2.5.1 Minimally invasive surgery -- 2.5.2 Neuroprosthetics -- 2.6 Ambient assisted living -- 2.6.1 Smart home -- 2.6.2 Assistive robots -- 2.6.3 Cognitive assistants -- 2.6.4 Social and emotional stimulation -- 2.7 The artificial intelligence can see you now 2.7.1 Artificial intelligence in the near and the remote -- 2.7.2 Success factors for artificial intelligence in healthcare -- 2.7.2.1 Assessment of condition -- 2.7.2.2 Managing complications -- 2.7.2.3 Patient-care assistance -- 2.7.2.4 Medical research -- 2.7.3 The digital primary physician -- 2.7.3.1 Artificial intelligence prequalification (triage) -- 2.7.3.2 Remote digital visits -- 2.7.3.3 The future of primary care -- References -- 3 Drug discovery and molecular modeling using artificial intelligence -- 3.1 Introduction. The scope of artificial intelligence in drug discovery |
| Beschreibung: | 1 Online-Ressource (XXVII, 355 Seiten) Illustrationen, Diagramme |
| ISBN: | 9780128184394 |
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| 500 | |a 1.2.2 Increasing health outcomes -- 1.2.3 Patient-centered care (the patient will see you now) -- 1.2.4 Personalized medicine -- 1.3 Increasing data volumes in healthcare -- 1.3.1 Big data and data accumulation -- 1.3.2 Data generation sources -- 1.3.3 Big data types -- 1.4 Analytics of healthcare data (machine learning and deep learning) -- 1.4.1 Machine learning -- 1.4.2 Deep learning -- 1.5 Conclusions/summary -- References -- 2 The rise of artificial intelligence in healthcare applications -- 2.1 The new age of healthcare -- 2.1.1 Technological advancements | ||
| 500 | |a 2.1.2 Artificial intelligence applications in healthcare -- 2.2 Precision medicine -- 2.2.1 Genetics-based solutions -- 2.2.2 Drug discovery and development -- 2.2.2.1 Drug property and activity prediction -- 2.2.2.2 De novo design through deep learning -- 2.2.2.3 Drug-target interactions -- 2.3 Artificial intelligence and medical visualization -- 2.3.1 Machine vision for diagnosis and surgery -- 2.3.1.1 Computer vision for diagnosis and surgery -- 2.3.2 Deep learning and medical image recognition -- 2.3.3 Augmented reality and virtual reality in the healthcare space | ||
| 500 | |a 2.3.3.1 Education and exploration -- 2.3.3.2 Patient experience -- 2.4 Intelligent personal health records -- 2.4.1 Health monitoring and wearables -- 2.4.2 Natural language processing -- 2.4.3 Integration of personal records -- 2.5 Robotics and artificial intelligence-powered devices -- 2.5.1 Minimally invasive surgery -- 2.5.2 Neuroprosthetics -- 2.6 Ambient assisted living -- 2.6.1 Smart home -- 2.6.2 Assistive robots -- 2.6.3 Cognitive assistants -- 2.6.4 Social and emotional stimulation -- 2.7 The artificial intelligence can see you now | ||
| 500 | |a 2.7.1 Artificial intelligence in the near and the remote -- 2.7.2 Success factors for artificial intelligence in healthcare -- 2.7.2.1 Assessment of condition -- 2.7.2.2 Managing complications -- 2.7.2.3 Patient-care assistance -- 2.7.2.4 Medical research -- 2.7.3 The digital primary physician -- 2.7.3.1 Artificial intelligence prequalification (triage) -- 2.7.3.2 Remote digital visits -- 2.7.3.3 The future of primary care -- References -- 3 Drug discovery and molecular modeling using artificial intelligence -- 3.1 Introduction. The scope of artificial intelligence in drug discovery | ||
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Datensatz im Suchindex
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| discipline | Informatik |
| discipline_str_mv | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV047049736 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:07:33Z |
| indexdate | 2024-07-10T09:01:10Z |
| institution | BVB |
| isbn | 9780128184394 |
| language | English |
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| physical | 1 Online-Ressource (XXVII, 355 Seiten) Illustrationen, Diagramme |
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| publishDate | 2020 |
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| spelling | Artificial intelligence in healthcare edited by Adam Bohr (CEO and Co-Founder of Sonohaler, Copenhagen, Denmark), Kaveh Memarzadeh (Commercial Field Application Scientist at ChemoMetec, Lillerød, Denmark) London, United Kingdom ; San Diego, CA, United States ; Cambridge, MA, United States ; Kidlington, Oxford, United Kingdom Academic Press, an imprint of Elsevier [2020] © 2020 1 Online-Ressource (XXVII, 355 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Front Cover -- Artificial Intelligence in Healthcare -- Copyright Page -- Endorsement -- Contents -- List of contributors -- About the editors -- Biographies -- Preface -- About this book -- Intended audience -- How is this book organized -- Introduction -- The promise of an intelligent machine -- Current applications and challenges in healthcare -- 1 Current healthcare, big data, and machine learning -- 1.1 Current healthcare practice -- 1.1.1 The rising need for technology -- 1.1.2 New models in healthcare -- 1.2 Value-based treatments and healthcare services -- 1.2.1 Value-based healthcare 1.2.2 Increasing health outcomes -- 1.2.3 Patient-centered care (the patient will see you now) -- 1.2.4 Personalized medicine -- 1.3 Increasing data volumes in healthcare -- 1.3.1 Big data and data accumulation -- 1.3.2 Data generation sources -- 1.3.3 Big data types -- 1.4 Analytics of healthcare data (machine learning and deep learning) -- 1.4.1 Machine learning -- 1.4.2 Deep learning -- 1.5 Conclusions/summary -- References -- 2 The rise of artificial intelligence in healthcare applications -- 2.1 The new age of healthcare -- 2.1.1 Technological advancements 2.1.2 Artificial intelligence applications in healthcare -- 2.2 Precision medicine -- 2.2.1 Genetics-based solutions -- 2.2.2 Drug discovery and development -- 2.2.2.1 Drug property and activity prediction -- 2.2.2.2 De novo design through deep learning -- 2.2.2.3 Drug-target interactions -- 2.3 Artificial intelligence and medical visualization -- 2.3.1 Machine vision for diagnosis and surgery -- 2.3.1.1 Computer vision for diagnosis and surgery -- 2.3.2 Deep learning and medical image recognition -- 2.3.3 Augmented reality and virtual reality in the healthcare space 2.3.3.1 Education and exploration -- 2.3.3.2 Patient experience -- 2.4 Intelligent personal health records -- 2.4.1 Health monitoring and wearables -- 2.4.2 Natural language processing -- 2.4.3 Integration of personal records -- 2.5 Robotics and artificial intelligence-powered devices -- 2.5.1 Minimally invasive surgery -- 2.5.2 Neuroprosthetics -- 2.6 Ambient assisted living -- 2.6.1 Smart home -- 2.6.2 Assistive robots -- 2.6.3 Cognitive assistants -- 2.6.4 Social and emotional stimulation -- 2.7 The artificial intelligence can see you now 2.7.1 Artificial intelligence in the near and the remote -- 2.7.2 Success factors for artificial intelligence in healthcare -- 2.7.2.1 Assessment of condition -- 2.7.2.2 Managing complications -- 2.7.2.3 Patient-care assistance -- 2.7.2.4 Medical research -- 2.7.3 The digital primary physician -- 2.7.3.1 Artificial intelligence prequalification (triage) -- 2.7.3.2 Remote digital visits -- 2.7.3.3 The future of primary care -- References -- 3 Drug discovery and molecular modeling using artificial intelligence -- 3.1 Introduction. The scope of artificial intelligence in drug discovery Artificial Intelligence Delivery of Health Care Equipment and Supplies Artificial intelligence Medical applications Medical informatics Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Gesundheitswesen (DE-588)4020775-4 gnd rswk-swf Gesundheitswesen (DE-588)4020775-4 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Bohr, Adam edt Memarzadeh, Kaveh edt Erscheint auch als Druck-Ausgabe 978-0-12-818438-7 |
| spellingShingle | Artificial intelligence in healthcare Artificial Intelligence Delivery of Health Care Equipment and Supplies Artificial intelligence Medical applications Medical informatics Künstliche Intelligenz (DE-588)4033447-8 gnd Gesundheitswesen (DE-588)4020775-4 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4020775-4 |
| title | Artificial intelligence in healthcare |
| title_auth | Artificial intelligence in healthcare |
| title_exact_search | Artificial intelligence in healthcare |
| title_exact_search_txtP | Artificial intelligence in healthcare |
| title_full | Artificial intelligence in healthcare edited by Adam Bohr (CEO and Co-Founder of Sonohaler, Copenhagen, Denmark), Kaveh Memarzadeh (Commercial Field Application Scientist at ChemoMetec, Lillerød, Denmark) |
| title_fullStr | Artificial intelligence in healthcare edited by Adam Bohr (CEO and Co-Founder of Sonohaler, Copenhagen, Denmark), Kaveh Memarzadeh (Commercial Field Application Scientist at ChemoMetec, Lillerød, Denmark) |
| title_full_unstemmed | Artificial intelligence in healthcare edited by Adam Bohr (CEO and Co-Founder of Sonohaler, Copenhagen, Denmark), Kaveh Memarzadeh (Commercial Field Application Scientist at ChemoMetec, Lillerød, Denmark) |
| title_short | Artificial intelligence in healthcare |
| title_sort | artificial intelligence in healthcare |
| topic | Artificial Intelligence Delivery of Health Care Equipment and Supplies Artificial intelligence Medical applications Medical informatics Künstliche Intelligenz (DE-588)4033447-8 gnd Gesundheitswesen (DE-588)4020775-4 gnd |
| topic_facet | Artificial Intelligence Delivery of Health Care Equipment and Supplies Artificial intelligence Medical applications Medical informatics Künstliche Intelligenz Gesundheitswesen |
| work_keys_str_mv | AT bohradam artificialintelligenceinhealthcare AT memarzadehkaveh artificialintelligenceinhealthcare |