Bioethics and Legal Aspects of AI in Healthcare and Life Sciences. Este artículo no está disponible.Bioethics and Legal Aspects of AI in Healthcare and Life Sciences

The integration of AI into healthcare and life sciences is transforming into how diseases are diagnosed, and patient care is delivered. While these advancements hold immense promises for improving health outcomes and operational efficiency, they also raise profound ethical and legal questions. Issues such as patient privacy, algorithmic bias, and the accountability of AI-driven decisions. This intersection of technology, medicine, and law demands scrutiny to ensure that innovation does not outpace the protection of human rights and ethical standards. Bioethical considerations and legal implications of AI in healthcare and the life sciences, are needed to guide responsible development and deployment. Bioethics and Legal Aspects of AI in Healthcare and Life Sciences explore how AI systems influence decision-making, autonomy, privacy, fairness, transparency, patient rights, and the broader societal impact. This book addresses the ethical, social, and moral implications of integrating artificial intelligence technologies into biology, medicine, healthcare, and life sciences. Covering topics such as AI, law, and ethics, this book is an excellent resource for healthcare professionals, administrators, law professionals, researchers, academicians, and more.

Prof. Sofia Anastasiadou is a Professor of Statistics and Research Methodology, Biostatistics and Biomedical Research at the School of Health of the University of Western Macedonia (UOWM), Department of Midwifery. She is the Deam of School of Health of UOWM, and a Member of the Dean of the School of Economics of the University of Western Macedonia. She is also a Member of the Senate and a MODIP Member of the same University. Since 2020 she is the President of Greek Society of Data Analysis (GSDA). She has been a founding Member since 2001. She has been Secretary General since 2016. Sofia Anastasiadou makes a constant effort for the development and dissemination of Data Analysis and Multidimensional Statistical Analysis methods, such as Principal Component Analysis, Factor Analysis, Factor Analysis of Correspondences, Symbolic Analysis, Inductive Statistics, Discriminant Analysis, Cluster Analysis, Implicative Statistical Analysis and new fields that can be developed based on relevant international developments in statistical science. She can be contacted at email: sanastasiadou@uowm.gr

Dr. Lambrini Seremeti is an Assistant Professor in the Department of Agricultural Economics & Rural Development at the School of Applied Economics and Social Science of the Agricultural University of Athens. She holds a PhD in Computer Science with a focus on propagating knowledge in networks of aligned ontologies from Hellenic Open University; a Master in Special Education from University of Rome; a Master in Pure Mathematics from University of Patras; a Bachelor in Mathematics from University of Patras; a Bachelor in Informatics from University of Western Greece; and a Bachelor in Law from University of Nicosia. She has also participated as a researcher in EU-funded projects, in which, her tasks involved mathematical modeling, data processing, knowledge representation and management, and conceptualization of heterogeneous environments (socio-economic, educational, biomedical, ambient intelligent). Her research interests focus on theories applied in interpretation of Law in ambient intelligent environments, knowledge representation and management through ontologies, and mathematical modeling of co-evolving systems. She can be contacted at email: lambrini.seremeti@gmail.com