AI Medical Compendium Topic

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Equipment and Supplies

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Advancement of post-market surveillance of medical devices leveraging artificial intelligence: Patient monitors case study.

Technology and health care : official journal of the European Society for Engineering and Medicine
BackgroundHealthcare institutions throughout the world rely on medical devices to provide their services reliably and effectively. However, medical devices can, and do sometimes fail. These failures pose significant risk to patients.ObjectiveOne way ...

[Discussion about Testing Scheme of Intelligent Medical Devices].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Intelligent medical devices are flourishing with the deep integration of modern information and artificial intelligence technologies into healthcare. Testing is an important means of performance evaluation and quality control for intelligent medical ...

The translation of in-house imaging AI research into a medical device ensuring ethical and regulatory integrity.

European journal of radiology
This manuscript delineates the pathway from in-house research on Artificial Intelligence (AI) to the development of a medical device, addressing critical phases including conceptualization, development, validation, and regulatory compliance. Key stag...

Regulatory approaches towards AI Medical Devices: A comparative study of the United States, the European Union and China.

Health policy (Amsterdam, Netherlands)
The swift progression of AI within the realm of medical devices has precipitated an imperative for stringent regulatory oversight. The United States, the European Union, and China stand as vanguard entities in the regulatory landscape for AI-enhanced...

Exploration of the optimal deep learning model for english-Japanese machine translation of medical device adverse event terminology.

BMC medical informatics and decision making
BACKGROUND: In Japan, reporting of medical device malfunctions and related health problems is mandatory, and efforts are being made to standardize terminology through the Adverse Event Terminology Collection of the Japan Federation of Medical Device ...

A decision-making framework for evaluating medical equipment suppliers under uncertainty.

Scientific reports
The procurement of medical equipment is a critical concern for healthcare organizations striving to deliver comprehensive patient care. Thus, the procurement process, including performance evaluation and selection of medical equipment suppliers, pose...

Embracing a Penta helix hub framework for co-creating sustaining and potentially disruptive sterilization innovation that enables artificial intelligence and sustainability: A scoping review.

The Science of the total environment
The supply of safe pipeline medical devices is of paramount importance. Opportunities exist to transform reusable medical devices for improved processing that meets diverse patient needs. There is increased interest in multi-actor hub frameworks to m...

Risk-based evaluation of machine learning-based classification methods used for medical devices.

BMC medical informatics and decision making
BACKGROUND: In the future, more medical devices will be based on machine learning (ML) methods. In general, the consideration of risks is a crucial aspect for evaluating medical devices. Accordingly, risks and their associated costs should be taken i...

Generalizability of FDA-Approved AI-Enabled Medical Devices for Clinical Use.

JAMA network open
IMPORTANCE: The primary objective of any newly developed medical device using artificial intelligence (AI) is to ensure its safe and effective use in broader clinical practice.

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 ...