Latest AI and machine learning research in ethics for healthcare professionals.
Ultrasound is one of the critical methods for diagnosis and treatment in thyroid examination. In clinical application, many reasons, such as large outpatient traffic, time-consuming training of sonographers, and uneven professional level of physicians, often cause irregularities during the ultrasonic examination, leading to misdiagnosis or missed diagnosis. In order to standardize the thyroid ultr...
Dentistry increasingly integrates artificial intelligence (AI) to help improve the current state of clinical dental practice. However, this revolutionary technological field raises various complex ethical challenges. The objective of this systematic scoping review is to document the current uses of AI in dentistry and the ethical concerns or challenges they imply. Three health care databases (MEDL...
Biological pest control (i.e. 'biocontrol') agents can have direct and indirect non-target impacts, and predicting these effects (especially indirect ...
This paper is one of the first to analyse the ethical implications of specific healthcare artificial intelligence (AI) applications, and the first to ...
Fast and reliable detection of patients with severe and heterogeneous illnesses is a major goal of precision medicine. Patients with leukaemia can be ...
In recent years, there has been a surge of high-profile publications on applications of artificial intelligence (AI) systems for medical diagnosis and...
Conjunctival provocation test (CPT) is used to demonstrate clinical relevance to a specific allergen. (Bt) is a prevalent allergen in tropical regio...
In this study, we conducted a citation network analysis of the to elucidate the scope, evolution, and interconnections of publications as reflected ...
The governance of ethically acceptable research in higher education institutions has been under scrutiny over the past half a century. Concomitantly, ...
Health system data incompletely capture the social risk factors for drug overdose. This study aimed to improve the accuracy of a machine-learning algo...
Land-use control is local and highly varied. State agencies struggle to assess plan contents. Similarly, advocacy groups and planning researchers wres...
This study investigates the ethical use of Big Data and Artificial Intelligence (AI) technologies (BD + AI)-using an empirical approach. The paper cat...
This paper explores ethical issues raised by whole slide image-based computational pathology. After briefly giving examples drawn from some recent lit...
The ethical discourse addresses the following aspects: What do we need ethics for? Man's disposition to morality, natural ethics. Morality as a social...
In the development of governmental policy for artificial intelligence (AI) that is informed by ethics, one avenue currently pursued is that of drawing...
Artificial intelligence is poised to revolutionize the field of medicine, however significant questions must be answered prior to its implementation o...
The rapid adoption and implementation of artificial intelligence in medicine creates an ontologically distinct situation from prior care models. There...
Non-rigid motion-corrected reconstruction has been proposed to account for the complex motion of the heart in free-breathing 3D coronary magnetic reso...
Much courtroom evidence relies on assessing witness memory. Recent advances in brain imaging analysis techniques offer new information about the natur...
Within artificial intelligence and machine learning, a generative model is a powerful tool for learning any kind of data distribution. With the advent...