Charalampia Kerasidou
Biographic Data
| ID | 9596354 |
|---|---|
| NAME | Charalampia Kerasidou |
| GIVEN NAMES | Charalampia |
| FAMILY NAME | Kerasidou |
| SIGNATURE | KERASIDOU C |
| AFFILIATIONS | Lancaster University |
| ORCID | 0000-0002-9794-8492 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Ethics Review of AI research
The recent advancements in artificial intelligence (AI), and data science more broadly, have led to a proliferation of new methods and tools, such as machine learning (ML), that are used in all kinds of scientific research, from biomedical research through to environmental and education research. Research ethics review bodies are increasingly required to review AI research protocols that cover these different fields of enquiry. Questions have bee…
Epistemic authority and medical AI
Recent and ongoing advances in medical AI promise to revolutionise medicine by improving the accuracy, speed, and efficiency of clinical care. These promises are responses to the continuous quest of modern medicine to eliminate uncertainty and find answers to crucial questions of diagnosis, prognosis and treatment, while the impressive reported results of medical AI have raised the question of whether medical AI can be perceived as an epistemic a…
Machine learning models, trusted research environments and UK health data
Digitalisation of health and the use of health data in artificial intelligence, and machine learning (ML), including for applications that will then in turn be used in healthcare are major themes permeating current UK and other countries’ healthcare systems and policies. Obtaining rich and representative data is key for robust ML development, and UK health data sets are particularly attractive sources for this. However, ensuring that such researc…
Before and beyond trust
Artificial intelligence (AI) is changing healthcare and the practice of medicine as data-driven science and machine-learning technologies, in particular, are contributing to a variety of medical and clinical tasks. Such advancements have also raised many questions, especially about public trust. As a response to these concerns there has been a concentrated effort from public bodies, policy-makers and technology companies leading the way in AI to …
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Before and beyond trust
Artificial intelligence (AI) is changing healthcare and the practice of medicine as data-driven science and machine-learning technologies, in particular, are contributing to a variety of medical and clinical tasks. Such advancements have also raised many questions, especially about public trust. As a response to these concerns there has been a concentrated effort from public bodies, policy-makers and technology companies leading the way in AI to …
Machine learning models, trusted research environments and UK health data
Digitalisation of health and the use of health data in artificial intelligence, and machine learning (ML), including for applications that will then in turn be used in healthcare are major themes permeating current UK and other countries’ healthcare systems and policies. Obtaining rich and representative data is key for robust ML development, and UK health data sets are particularly attractive sources for this. However, ensuring that such researc…
Ethics Review of AI research
The recent advancements in artificial intelligence (AI), and data science more broadly, have led to a proliferation of new methods and tools, such as machine learning (ML), that are used in all kinds of scientific research, from biomedical research through to environmental and education research. Research ethics review bodies are increasingly required to review AI research protocols that cover these different fields of enquiry. Questions have bee…
Epistemic authority and medical AI
Recent and ongoing advances in medical AI promise to revolutionise medicine by improving the accuracy, speed, and efficiency of clinical care. These promises are responses to the continuous quest of modern medicine to eliminate uncertainty and find answers to crucial questions of diagnosis, prognosis and treatment, while the impressive reported results of medical AI have raised the question of whether medical AI can be perceived as an epistemic a…
Artificial Intelligence in Healthcare and Education (4 works) · Ethics and Social Impacts of AI (3 works) · Ethics in Clinical Research (3 works) · Computer Science (2 works) · Engineering (2 works) · Internet privacy (2 works) · Political science (2 works) · Public relations (2 works) · Artificial Intelligence (1 work) · Autopsy Techniques and Outcomes (1 work)