LEADER 00820nam0-22002651i-450 001 990002044370403321 005 20250319132731.0 035 $a000204437 100 $a20021010d1923----km-y0itay50------ba 101 0 $aeng 102 $aIN 105 $aa m001yy 200 1 $a<>survey of the fauna of Iraq$emammals, birds, reptiles...$fmade by members of the Mesopotamia Expeditionary Force "D", 1915-1919 210 $aBombay$cBombay Natyral History society$d1923 215 $a404 p.$d25 cm 610 0 $aFauna 676 $a590$v23$zita 710 01$aMesopotamia Expeditionary Force$01794496 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990002044370403321 952 $aB ENT 250$b01/0350/25$fFAGBC 959 $aFAGBC 996 $aSurvey of the fauna of Iraq$94335196 997 $aUNINA LEADER 07362nam 22005893 450 001 9910876678303321 005 20241215110030.0 010 $a9781394306411 010 $a1394306415 010 $a9781394306398 010 $a1394306393 035 $a(MiAaPQ)EBC31516500 035 $a(Au-PeEL)EBL31516500 035 $a(CKB)32650232400041 035 $a(CaSebORM)9781786309099 035 $a(Exl-AI)31516500 035 $a(OCoLC)1477821612 035 $a(OCoLC-P)1477821612 035 $a(Perlego)4471996 035 $a(EXLCZ)9932650232400041 100 $a20240707d2024 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAl, Healthcare and Law 205 $a1st ed. 210 1$aNewark :$cJohn Wiley & Sons, Incorporated,$d2024. 210 4$dİ2024. 215 $a1 online resource (224 pages) 225 1 $aISTE Invoiced Series 311 08$a9781786309099 311 08$a1786309092 327 $aCover -- Title Page -- Copyright Page -- Contents -- Preface -- Introduction -- Part 1. Artificial Intelligence to Support Diagnosis -- Chapter 1. Healthcare Applications -- 1.1. The uses of a healthcare application -- 1.2. Applications at the service of hospitals (HR dimension) -- 1.2.1. Internal staff and patient management applications in public and private hospitals -- 1.2.2. Helpful applications to counter isolation and other vulnerabilities -- 1.3. Cybersecurity to reinforce the resilience of applications -- 1.3.1. The obligation to protect the health of minor children against content that may harm their health -- 1.3.2. Assessing health risks through digital services -- 1.4. Conclusion -- 1.5. References -- Chapter 2. Behavioral Insurance: The Latest Trick of Capitalism? -- 2.1. Introduction -- 2.2. A new health insurance market -- 2.2.1. Healthy lifestyle behavior insurance: an overview -- 2.2.2. The importance of the institutional context -- 2.3. Heading towards a great backward leap in health risk socialization? -- 2.3.1. Artificial intelligence at the service of paternalism in insurance policies -- 2.3.2. Building on social inequalities -- 2.4. Conclusion -- 2.5. References -- Chapter 3. Artificial Intelligence and Health: Description of the Ecosystem Required for an Effective Use of AI -- 3.1. General data ecosystem for data mining and algorithm development -- 3.1.1. An ecosystem for a digital "revolution" -- 3.1.2. Some preliminary socio-historical and technical elements -- 3.1.3. A digital approach from the inside of health? -- 3.1.4. ?and an external approach to health -- 3.1.5. The evolution of regulatory aspects -- 3.2. From data to the algorithm at present: the role of research -- 3.2.1. What kind of research is there for health-related AI nowadays?. 327 $a3.2.2. Beyond research, the integration of algorithms in the practitioner's environment -- 3.2.3. An intermediate case for integrating AI into the practitioner's environment: learning systems -- 3.2.4. Articulation between research and practice -- 3.3. Examining the quality of reporting of health-related AI research and the readiness of these AI forms through two medical examples -- 3.3.1. Screening or "predicting" post-traumatic stress disorder with AI -- 3.3.2. AI to assist the medical examiner in investigation -- 3.4. Integration and appropriation of algorithms -- 3.4.1. Technical integration of algorithms, microsocial integration: about appropriation -- 3.4.2. An example of algorithm integration and socio-technical evaluation: the Big Data Drop IT project -- 3.4.3. The contribution of mixed methods and the interdisciplinary approach for the end-to-end development of an algorithm - the I-ADViSe project -- 3.5. The integration of AI in a broader ecosystem than the practitioner's immediate environment: questions and perspectives -- 3.5.1. The illusions of immediacy and the dematerialized -- 3.5.2. An opposite problem: what place for health professionals in an ecosystem conducive to the use of AI? -- 3.5.3. AI as a technical object above all and technology as the common denominator for all our social activities -- 3.6. References -- Part 2. Artificial Intelligence at the Service of Healthcare -- Chapter 4. Legal Liability of Companion Robots -- 4.1. Introduction -- 4.2. Common law liability -- 4.2.1. The result of human activity -- 4.2.2. Caused by the thing -- 4.3. Special liability regimes -- 4.3.1. Caused by road accidents -- 4.3.2. Caused by a defective product -- 4.4. Conclusion -- 4.5. References -- Chapter 5. From Computer-assisted Surgery to AI-guided Surgery -- 5.1. Computer-assisted surgery. 327 $a5.2. Mixed reality, a computer-assisted surgery tool and a key element of AI-guided surgery -- 5.3. The concept of AI-guided surgery -- 5.4. Conclusion -- 5.5. References -- Chapter 6. Detection of Anatomical Structures and Lesions in Hand Surgery Through the Use of Artificial Intelligence -- 6.1. Introduction -- 6.2. Context -- 6.2.1. Object detection -- 6.2.2. Contrastive self-supervised learning -- 6.3. Problem 1: anatomical structure and lesion detection -- 6.3.1. Overview of the problem -- 6.3.2. Modular approach -- 6.3.3. Separate approach -- 6.3.4. Evaluation method -- 6.3.5. Results and opening -- 6.4. Problem 2: endoscopic carpal tunnel release -- 6.4.1. Classic approach to object detection -- 6.4.2. Self-supervised learning approach -- 6.4.3. Results -- 6.5. Conclusion -- 6.6. Appendices -- 6.7. References -- Chapter 7. Surgical Diagnosis Augmented by Artificial Intelligence -- 7.1. Introduction -- 7.2. Fundamental framework and state of the art -- 7.3. Modular learning for classification -- 7.3.1. Methodology -- 7.3.2. Results -- 7.4. Self-learning for data labeling and segmentation -- 7.4.1. Methodology -- 7.4.2. Results -- 7.5. Conclusion -- 7.6. References -- Conclusion -- List of Authors -- Index -- Other titles from ISTE in Science, Society and New Technologies -- EULA. 330 $aThis book, edited by Guilhem Julia, Anne Fauchon, and Rushed Kanawati, explores the intersection of artificial intelligence, healthcare, and law. It examines the role of AI in healthcare applications, including diagnosis support and hospital management, and addresses issues such as cybersecurity and health risk assessment. The text also delves into the implications of AI in health insurance, particularly how it impacts social inequalities and the socialization of health risks. The ecosystem required for effective AI use in healthcare is discussed, highlighting the importance of data mining, algorithm development, and research integration. The book provides insights into legal aspects, such as the liability of companion robots, making it relevant for professionals and researchers in AI, healthcare, and legal sectors.$7Generated by AI. 410 0$aISTE Invoiced Series 606 $aArtificial intelligence$xMedical applications 615 0$aArtificial intelligence$xMedical applications. 676 $a610.285 700 $aJulia$b Guilhem$01712130 701 $aFauchon$b Anne$0619609 701 $aKanawati$b Rushed$01763787 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910876678303321 996 $aAl, Healthcare and Law$94204412 997 $aUNINA LEADER 03431nam 22007815 450 001 9910484394303321 005 20251226202202.0 010 $a3-319-49787-1 024 7 $a10.1007/978-3-319-49787-7 035 $a(CKB)3710000000981123 035 $a(DE-He213)978-3-319-49787-7 035 $a(MiAaPQ)EBC6287605 035 $a(MiAaPQ)EBC5610552 035 $a(Au-PeEL)EBL5610552 035 $a(OCoLC)963940689 035 $a(PPN)197137318 035 $a(EXLCZ)993710000000981123 100 $a20161110d2016 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAlgorithms and Models for the Web Graph $e13th International Workshop, WAW 2016, Montreal, QC, Canada, December 14?15, 2016, Proceedings /$fedited by Anthony Bonato, Fan Chung Graham, Pawe? Pra?at 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (X, 165 p. 42 illus.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v10088 300 $aIncludes index. 311 08$a3-319-49786-3 327 $aAlgorithms -- Analysis -- Data Models -- Social Networks -- Blogs -- Webmining -- Social Applications. . 330 $aThis book constitutes the proceedings of the 13th International Workshop on Algorithms and Models for the Web Graph, WAW 2016, held in Montreal, QC, Canada, in December 2016. The 13 full papers presented in this volume were carefully reviewed and selected from 14 submissions. 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