Artificial Intelligence in order to facilitate Diagnoses and Treatment. The Opportunity Smart Cities give Subjects

Bachelor Thesis , 2020 , 110 Pages , Grade: 1,3

Computer Sciences - Artificial Intelligence

This bachelor thesis is based on the approach of providing nowadays society with solutions through the advancement of Artificial Intelligence in order to improve their quality of life. For the reason that the obstacles within the health sector are evolving in a negative sense a special focus within this concept is laid on Artificial Intelligence systems impact within the health sector of mental illnesses. Thus being said the structure of the thesis focuses on four key theories in the beginning which arise over and over within the thesis. These four key theories included: The Wave Approach by Toeffler, the definition of three identities, Neuroscience and Mental Illnesses (burn-out, depression and anxiety). Nevertheless, the thesis was examined in several other parts such as Artificial Intelligence and the technology behind it, the implementation of AI in smart cities, pattern recognition and monitoring in the health sector.

By focusing on such areas, analysing and connecting them with past approaches the impact of the data was described and analysed. Thus being said the thesis approach was coming to the conclusion that through the implementation of Artificial Intelligence systems such as voice recognition systems and facial recognition systems the area of diagnosing mental illnesses and improving treatment as well as reaching for quicker response rate — in regards to emergencies — can be reached.

Table of Contents

List of Abbreviation

1.0 Introduction
1.1 Background Information
1.2 Thesis Topic
1.3 Thesis & Hypotheses

2.0 Methodology
2.1 Literature Review
2.2 Case study
2.3 Expert Interviews

3.0 Key Theory Definitions & Explanations
3.1 The Wave Approach
3.2 Identities of the Society
3.3 Neuroscience
3.4 The Correlation between Depression, Anxiety and Burn-out

4.0 The Technology behind Artificial Intelligence
4.1 The Internet of Things
4.2 The Rise of Smart Cities and its Impact on Human Life
4.3 Smart Devices as AI & Data Collection
4.4 Challenges of AI in its implementation in Smart Cities

5.0 AI in Smart Cities with the Focus on Health
5.1 The Role of AI in Mental Health

6.0 Societal & Cultural Transformation

7.0 Expert Interview Analysis

8.0 Futuristic Outlook

9.0 Discussion and Conclusion

10.0 References

11.0 Appendix
11.1 Appendix A: Interview questions in German
11.2 Appendix B: Interview Questions in English
11.3 Appendix C: Interview 1 with Michael Dehm
11.4 Appendix D: Interview 2 with Nicoletta Blaschke
11.5 Appendix D: Interview 3 with Lothar Hotz

• College: University of Applied Sciences Hamburg
• Grade: 1,3
• Author: Sina Kiene (Author)
• Publication Year: 2020
• Pages: 110
• Catalog Number: V994741
• ISBN (eBook): 9783346397652
• ISBN (Book): 9783346397669
• Language: English
• Tags: AI, depression, Emotion AI, Emotion, Internet of Things, Machine Learning, Neuro Learning, Deep Learning, Smart Cities, Medicine