BACKGROUND: Estimating the depth of anaesthesia (DoA) is critical in modern anaesthetic practice. Multiple DoA monitors based on electroencephalograms (EEGs) have been widely used for DoA monitoring; however, these monitors may be inaccurate under ce...
BACKGROUND: Artificial intelligence (AI) methods can potentially be used to relieve the pressure that the COVID-19 pandemic has exerted on public health. In cases of medical resource shortages caused by the pandemic, changes in people's preferences f...
The ethical discourse addresses the following aspects: What do we need ethics for? Man's disposition to morality, natural ethics. Morality as a social norm. Morality to maintain an inhuman, superhuman power structure. Morality as an artifact of the b...
The structure of relationships in the past, the present and the future is shaped by the idea of humanism. Based on this construct, the article illuminates various aspects and configurations of humanism on a timeline from "here and now" to "there and ...
OBJECTIVE: This paper provides an overview of a range of ethical aspects involved in the use of autonomous, virtual or embodied artificial intelligence (AI) in the care of people with mental health issues.
The article summarizes various publications on the application of "learning algorithms" and "artificial neural networks" in psychiatry to describe a dystopian future scenario. The draft of a nosology based on molecular biology is opposed to the ecolo...
OBJECTIVE: The aim of the article is to enable a fundamental understanding of the potentials and requirements of Artificial Intelligence (AI) for psychiatrists in the present and for the development of future working environments. Psychiatrists will ...
Anomaly detection refers to the identification of cases that do not conform to the expected pattern, which takes a key role in diverse research areas and application domains. Most of existing methods can be summarized as anomaly object detection-base...
Forensic odontology is regarded as an important branch of forensics dealing with human identification based on dental identification. This paper proposes a novel method that uses deep convolution neural networks to assist in human identification by a...
Clusters of viral pneumonia occurrences over a short period may be a harbinger of an outbreak or pandemic. Rapid and accurate detection of viral pneumonia using chest X-rays can be of significant value for large-scale screening and epidemic preventio...
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