Boundaries between research ethics and ethical research use in artificial intelligence health research

G Samuel, J Chubb, G Derrick - Journal of Empirical …, 2021 - journals.sagepub.com
The governance of ethically acceptable research in higher education institutions has been
under scrutiny over the past half a century. Concomitantly, recently, decision makers have …

Deep learning neural network (DLNN)-based classification and optimization algorithm for organ inflammation disease diagnosis

AA Basha, AM Ali, P Parthasarathy, OE Tayfour… - Soft Computing, 2023 - Springer
Diagnostic image volume and complexity in healthcare system increases in rapid pace
where available human proficiency may not sufficient for interpreting this much capacity of …

A process for evaluating Machine Learning models for Healthcare Applications

CMP de Souza, CA da Silveira Barreto… - Seven …, 2024 - sevenpublicacoes.com.br
Abstract Machine Learning (ML) has been advancing in the most diverse areas of
knowledge. Among those, ML for Healthcare and Decision Support of Medical applications …

PSYCHOLOGICAL IMPACT OF ARTIFICIAL INTELLIGENCE ON THE SCIENCE

K Lewita, A Krzemińska, P Kozlovska… - Матеріали …, 2023 - archive.mcnd.org.ua
The rapid advancement of Artificial Intelligence (AI) technologies has permeated numerous
facets of contemporary science, fundamentally transforming research methodologies, data …

Rule out Screening for Undiagnosed Dementia and Alzheimer's Disease Using an EHR Based Machine Learning Solution

B Stephan, DA Julovich, D Bracy… - SMU Data Science …, 2021 - scholar.smu.edu
Current detection methods for Dementia and Alzheimer's disease include cerebral spinal
fluid (CSF) markers and/or the use of positron emission tomography (PET) imaging, both …