AI Medical Compendium Topic

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Equipment Safety

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Robots in healthcare security and safety: the future is now.

Journal of healthcare protection management : publication of the International Association for Hospital Security
Robot security officers cur- rently are now available to perform functions which are not cost-effective for humans, according to the author who heads a company which manu- factures them. In this article he describes the capabilities of robot officers...

Newborn self-inflating manual resuscitators: precision robotic testing of safety and reliability.

Archives of disease in childhood. Fetal and neonatal edition
AIM: A controlled bench test was undertaken to determine the performance variability among a range of neonatal self-inflating bags (SIB) compliant with current International Standards Organisation (ISO).

Identification of a closed cutaneous injury after mechanical trauma caused by collision.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
PURPOSE: Robotics has evolved rapidly in terms of mechanical design and control in the past few years. Collaborative robots that have direct contact with humans are being introduced in various fields, including industrial and medical services. Becaus...

Design and control of a MRI-compatible pneumatic needle puncture robot.

Computer assisted surgery (Abingdon, England)
Percutaneous needle puncture operation is widely used in the image-guided interventions, including biopsy and ablation. MRI guidance has the advantages of high-resolution soft tissue imaging and thermal monitoring during energy-based ablation. This p...

Multi-Level-Phase Deep Learning Using Divide-and-Conquer for Scaffolding Safety.

International journal of environmental research and public health
A traditional structural analysis of scaffolding structures requires loading conditions that are only possible during design, but not in operation. Thus, this study proposes a method that can be used during operation to make an automated safety predi...

Machine learning for improved medical device management: A focus on defibrillator performance.

Technology and health care : official journal of the European Society for Engineering and Medicine
BackgroundPoorly regulated and insufficiently maintained medical devices (MDs) carry high risk on safety and performance parameters impacting the clinical effectiveness and efficiency of patient diagnosis and treatment. After the MD directive (MDD) h...

A machine learning framework to adjust for learning effects in medical device safety evaluation.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Traditional methods for medical device post-market surveillance often fail to accurately account for operator learning effects, leading to biased assessments of device safety. These methods struggle with non-linearity, complex learning cu...

Evaluating the Impact of the EU AI Act on Medical Device Regulation.

Studies in health technology and informatics
Artificial Intelligence (AI) is increasingly incorporated into medical devices, revolutionizing diagnostics, treatment planning, and patient monitoring. To ensure AI's safe and ethical use, the European Commission published the AI Act in 2024, which ...