Kapitel
Open Access
4 Biomedical engineering and artificial intelligence – a technical perspective
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Kapitel in diesem Buch
- Frontmatter I
- Foreword from the Federal Ministry of Research, Technology and Space V
- Statement from the German Society for Biomedical Engineering VII
- Contents IX
- List of abbreviations
- 1 Editorial: Why consider artificial intelligence, biomedical engineering and ethics together? 1
- 2 Historical Facets of Artificial Intelligence 11
- 3 Generative artificial intelligence: From scientific foundations to societal applications 25
- 4 Biomedical engineering and artificial intelligence – a technical perspective 41
- 5 Ethical perspectives 55
- 6 Artificial intelligence in healthcare in the light of statements by the German Ethics Council 77
- 7 Legal perspectives on AI and medical technology 83
- 8 AI as a Trap. Navigating intricate totalities between metaphorization and nonconceptuality 91
- 9 AI between tool and super-ego – Role pluralism as a prerequisite for ethical reflections 111
- 10 AI for academic learning and teaching in biomedical engineering 121
- 11 Artificial Intelligence and Education (AI&ED) 145
- 12 Uncertainties, errors, explainability and responsibility for AI in medicine 159
- 13 Explainable Artificial Intelligence in biomedical engineering 169
- 14 Fairness in AI – how to design ‘unbiased’ algorithms? 181
- 15 AI and edge / embedded devices for healthcare 191
- 16 Impact of artificial intelligence on neural implants 207
- 17 AI-supported robots in healthcare 227
- 18 Artificial intelligence and image-guided interventions 251
- 19 Digital twins and AI in health 265
- 20 Socially interactive agents as interface to health technology 283
- 21 Emotion recognition in healthcare 299
- 22 AI and nursing 319
- 23 Acceptance of AI by physicians: The role of AI autonomy and explainability 335
- 24 Artificial intelligence shaping a new era in molecular medicine 351
- 25 Regulation of artificial intelligence in MedTech 365
- 26 From the AI Act to responsible innovation: The potential of legal design research 379
- 27 Business models for artificial intelligence in healthcare 389
- Notes on contributors
- Index 437
- Publications series Health Academy 445
Kapitel in diesem Buch
- Frontmatter I
- Foreword from the Federal Ministry of Research, Technology and Space V
- Statement from the German Society for Biomedical Engineering VII
- Contents IX
- List of abbreviations
- 1 Editorial: Why consider artificial intelligence, biomedical engineering and ethics together? 1
- 2 Historical Facets of Artificial Intelligence 11
- 3 Generative artificial intelligence: From scientific foundations to societal applications 25
- 4 Biomedical engineering and artificial intelligence – a technical perspective 41
- 5 Ethical perspectives 55
- 6 Artificial intelligence in healthcare in the light of statements by the German Ethics Council 77
- 7 Legal perspectives on AI and medical technology 83
- 8 AI as a Trap. Navigating intricate totalities between metaphorization and nonconceptuality 91
- 9 AI between tool and super-ego – Role pluralism as a prerequisite for ethical reflections 111
- 10 AI for academic learning and teaching in biomedical engineering 121
- 11 Artificial Intelligence and Education (AI&ED) 145
- 12 Uncertainties, errors, explainability and responsibility for AI in medicine 159
- 13 Explainable Artificial Intelligence in biomedical engineering 169
- 14 Fairness in AI – how to design ‘unbiased’ algorithms? 181
- 15 AI and edge / embedded devices for healthcare 191
- 16 Impact of artificial intelligence on neural implants 207
- 17 AI-supported robots in healthcare 227
- 18 Artificial intelligence and image-guided interventions 251
- 19 Digital twins and AI in health 265
- 20 Socially interactive agents as interface to health technology 283
- 21 Emotion recognition in healthcare 299
- 22 AI and nursing 319
- 23 Acceptance of AI by physicians: The role of AI autonomy and explainability 335
- 24 Artificial intelligence shaping a new era in molecular medicine 351
- 25 Regulation of artificial intelligence in MedTech 365
- 26 From the AI Act to responsible innovation: The potential of legal design research 379
- 27 Business models for artificial intelligence in healthcare 389
- Notes on contributors
- Index 437
- Publications series Health Academy 445
