AIMC Topic: Biomedical Technology
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Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015-20): a comparative analysis.
The Lancet. Digital health
Jan 18, 2021
There has been a surge of interest in artificial intelligence and machine learning (AI/ML)-based medical devices. However, it is poorly understood how and which AI/ML-based medical devices have been approved in the USA and Europe. We searched governm...
Application of Artificial Intelligence-Based Technologies in the Healthcare Industry: Opportunities and Challenges.
International journal of environmental research and public health
Jan 1, 2021
This study examines the current state of artificial intelligence (AI)-based technology applications and their impact on the healthcare industry. In addition to a thorough review of the literature, this study analyzed several real-world examples of AI...
Creating a database for health IT events via a hybrid deep learning model.
Journal of biomedical informatics
Sep 9, 2020
OBJECTIVE: The use of poorly designed and improperly implemented health information technology (HIT) may compound risks because it can disrupt established work patterns and encourage workarounds. Analyzing and learning from HIT events could reduce th...
Digital health technologies: opportunities and challenges in rheumatology.
Nature reviews. Rheumatology
Jul 24, 2020
The past decade in rheumatology has seen tremendous innovation in digital health technologies, including the electronic health record, virtual visits, mobile health, wearable technology, digital therapeutics, artificial intelligence and machine learn...
Computational Technology with Artificial Intelligence and Machine Learning: What Should a Cytologist Do with It?
Acta cytologica
Jul 8, 2020
Artificial Intelligence and Health Technology Assessment: Anticipating a New Level of Complexity.
Journal of medical Internet research
Jul 7, 2020
Artificial intelligence (AI) is seen as a strategic lever to improve access, quality, and efficiency of care and services and to build learning and value-based health systems. Many studies have examined the technical performance of AI within an exper...
Technological advances for the detection of melanoma: Advances in diagnostic techniques.
Journal of the American Academy of Dermatology
Apr 26, 2020
Managing the balance between accurately identifying early stage melanomas while avoiding obtaining biopsy specimens of benign lesions (ie, overbiopsy) is the major challenge of melanoma detection. Decision making can be especially difficult in patien...
Innovative Technologies in Healthcare, Beware of the Pitfalls.
European journal of health law
Feb 13, 2020
SemBioNLQA: A semantic biomedical question answering system for retrieving exact and ideal answers to natural language questions.
Artificial intelligence in medicine
Nov 28, 2019
BACKGROUND AND OBJECTIVE: Question answering (QA), the identification of short accurate answers to users questions written in natural language expressions, is a longstanding issue widely studied over the last decades in the open-domain. However, it s...
Recognizing software names in biomedical literature using machine learning.
Health informatics journal
Sep 30, 2019
Software tools now are essential to research and applications in the biomedical domain. However, existing software repositories are mainly built using manual curation, which is time-consuming and unscalable. This study took the initiative to manually...
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