Angeliki Kerasidou
Biographic Data
| ID | 6698971 |
|---|---|
| NAME | Angeliki Kerasidou |
| GIVEN NAMES | Angeliki |
| FAMILY NAME | Kerasidou |
| SIGNATURE | KERASIDOU A |
| AFFILIATIONS | University of Oxford |
| ORCID | 0000-0001-9344-3297 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 11 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| 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…
Democratising or disrupting diagnosis? Ethical issues raised by the use of AI tools for rare disease diagnosis
Computational phenotyping (CP) technology uses facial recognition algorithms to classify and potentially diagnose rare genetic disorders on the basis of digitised facial images. This AI technology has a number of research as well as clinical applications, such as supporting diagnostic decision-making. Using the example of CP, we examine stakeholders' views of the benefits and costs of using AI as a diagnostic tool within the clinic. Through a ser…
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 …
The need for empathetic healthcare systems
Medicine is not merely a job that requires technical expertise, but a profession concerned with making the best decisions and recommendations with reference to, and in consultation with, the patient. This means that the skill set required for healthcare professionals in order to provide good care is a combination of scientific knowledge, technical aptitude, and affective qualities or virtues such as compassion and empathy
Taking it to the bank
A rapidly growing proportion of health research uses ‘secondary data’: data used for purposes other than those for which it was originally collected. Do researchers using secondary data have an obligation to disclose individual research findings to participants? While the importance of this question has been duly recognised in the context of primary research (ie, where data are collected from participants directly), it remains largely unexamined …
Marketisation, Ethics and Healthcare
Weaving together original contributions from law, ethics, theology and economics, this book provides many fresh insights
You have to keep fighting”
Participants considered it their duty to defend their professional ethos and serve patients without compromising standards, even if this meant liberal interpretation and implementation of regulations. These professionals regarded themselves on the frontline of healthcare provision but also the frontline defence in a war on their professional standards from austerity
Human embryonic stem cell research
A global reference for human genetic variation
The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations. Here we report completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-genome sequencing, deep exome sequencing, and dense microarray genotyping. We characterized…
Sharing the Knowledge
Returning research results to participants is recognised as an obligation that researchers should always try to fulfil. But can we ascribe the same obligation to researchers who conduct genomics research producing only aggregated findings? And what about genomics research conducted in developing countries? This paper considers Beskow's et al. argument that aggregated findings should also be returned to research participants. This recommendation i…
No prominent works on this page.
A global reference for human genetic variation
The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations. Here we report completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-genome sequencing, deep exome sequencing, and dense microarray genotyping. We characterized…
Sharing the Knowledge
Returning research results to participants is recognised as an obligation that researchers should always try to fulfil. But can we ascribe the same obligation to researchers who conduct genomics research producing only aggregated findings? And what about genomics research conducted in developing countries? This paper considers Beskow's et al. argument that aggregated findings should also be returned to research participants. This recommendation i…
You have to keep fighting”
Participants considered it their duty to defend their professional ethos and serve patients without compromising standards, even if this meant liberal interpretation and implementation of regulations. These professionals regarded themselves on the frontline of healthcare provision but also the frontline defence in a war on their professional standards from austerity
Human embryonic stem cell research
Marketisation, Ethics and Healthcare
Weaving together original contributions from law, ethics, theology and economics, this book provides many fresh insights
The need for empathetic healthcare systems
Medicine is not merely a job that requires technical expertise, but a profession concerned with making the best decisions and recommendations with reference to, and in consultation with, the patient. This means that the skill set required for healthcare professionals in order to provide good care is a combination of scientific knowledge, technical aptitude, and affective qualities or virtues such as compassion and empathy
Taking it to the bank
A rapidly growing proportion of health research uses ‘secondary data’: data used for purposes other than those for which it was originally collected. Do researchers using secondary data have an obligation to disclose individual research findings to participants? While the importance of this question has been duly recognised in the context of primary research (ie, where data are collected from participants directly), it remains largely unexamined …
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 …
Democratising or disrupting diagnosis? Ethical issues raised by the use of AI tools for rare disease diagnosis
Computational phenotyping (CP) technology uses facial recognition algorithms to classify and potentially diagnose rare genetic disorders on the basis of digitised facial images. This AI technology has a number of research as well as clinical applications, such as supporting diagnostic decision-making. Using the example of CP, we examine stakeholders' views of the benefits and costs of using AI as a diagnostic tool within the clinic. Through a ser…
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…
Political science (7 works) · Computer Science (5 works) · Law (5 works) · Medicine (5 works) · Public relations (5 works) · Artificial Intelligence in Healthcare and Education (4 works) · Biology (4 works) · Ethics in Clinical Research (4 works) · Psychology (4 works) · Business (3 works)