AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Health Facilities

Showing 11 to 20 of 190 articles

Clear Filters

Psychotherapy, artificial intelligence and adolescents: ethical aspects.

Journal of preventive medicine and hygiene
Artificial intelligence (AI) has rapidly advanced in various domains, including its application in psychotherapy. AI-powered psychotherapy tools present promising solutions for increasing accessibility to mental health care. However, the integration ...

Multirole of the internet of medical things (IoMT) in biomedical systems for managing smart healthcare systems: An overview of current and future innovative trends.

Journal of infection and public health
Internet of Medical Things (IoMT) is an emerging subset of Internet of Things (IoT), often called as IoT in healthcare, refers to medical devices and applications with internet connectivity, is exponentially gaining researchers' attention due to its ...

DeBERTa-BiLSTM: A multi-label classification model of Arabic medical questions using pre-trained models and deep learning.

Computers in biology and medicine
It is wise to investigate past and present epidemics in the hopes of profiting from them and being better prepared for future ones. COVID-19 is one of the most recent and well-known pandemics; its effects are still felt today. Most or nearly all gove...

Implementation of Artificial Intelligence Applications in Australian Healthcare Organisations: Environmental Scan Findings.

Studies in health technology and informatics
Artificial Intelligence (AI) has great potential to improve healthcare, but implementation into routine practice remains a challenge. This study scoped the extent to which AI and Natural Language Processing (NLP) is being implemented into routine pra...

Hierarchical Label Distribution Learning for Disease Prediction.

Studies in health technology and informatics
The prediction of disease can facilitate early intervention, comprehensive diagnosis and treatment, thereby benefiting healthcare and reducing medical costs. While single class and multi-class learning methods have been applied for disease prediction...

Classification of posttransfusion adverse events using a publicly available artificial intelligence system.

Transfusion
BACKGROUND: Correct classification of transfusion reactions is important not only for effective patient care and donor management but also for accurate tracking of events in hemovigilance systems. We compared the ability of a generative artificial in...

A multinational study on artificial intelligence adoption: Clinical implementers' perspectives.

International journal of medical informatics
BACKGROUND: Despite substantial progress in AI research for healthcare, translating research achievements to AI systems in clinical settings is challenging and, in many cases, unsatisfactory. As a result, many AI investments have stalled at the proto...

Accelerating AI Innovation in Healthcare Through Mentorship.

Studies in health technology and informatics
The adoption of Artificial Intelligence (AI) in the Canadian healthcare system falls behind that of other countries. Socio-technological considerations such as organizational readiness and a limited understanding of the technology are a few barriers ...

Ethics and artificial intelligence.

Revista clinica espanola
The relationship between ethics and artificial intelligence in medicine is a crucial and complex topic that falls within its broader context. Ethics in medical artificial intelligence (AI) involves ensuring that technologies are safe, fair, and respe...