AIMC Topic: Patient Safety

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Solicitude toward artificial intelligence among health care providers and its relation to their patient's safety culture in Saudi Arabia.

BMC health services research Jul 2, 2025
BACKGROUND: The healthcare sector is undergoing a digital transformation, where the integration of Artificial Intelligence (AI) plays a vital role in reshaping healthcare practices. AI technologies promise to improve work procedures, mitigate future ...
Middle Aged Surveys and Questionnaires Adult Male Health Knowledge, Attitudes, Practice Safety Management Organizational Culture Saudi Arabia Attitude of Health Personnel Artificial Intelligence Health Personnel Patient Safety Female Humans
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SwinCVS: a unified approach to classifying critical view of safety structures in laparoscopic cholecystectomy.

International journal of computer assisted radiology and surgery Apr 11, 2025
PURPOSE: Laparoscopic cholecystectomy is one of the most commonly performed surgeries in the UK. Despite its safety, the volume of operations leads to a notable number of complications, with surgical errors often mitigated by the critical view of saf...
Cholecystectomy, Laparoscopic Humans Patient Safety
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Safety and Precision AI for a Modern Digital Health System.

Yearbook of medical informatics Apr 8, 2025
Artificial intelligence (AI) promises to revolutionize healthcare. Currently there is a proliferation of new AI applications that are being developed and beginning to be deployed across many areas in healthcare to streamline and make healthcare proce...
Delivery of Health Care Patient Safety Artificial Intelligence Digital Health Precision Medicine Humans
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Reinforcement learning for safe autonomous two-device navigation of cerebral vessels in mechanical thrombectomy.

International journal of computer assisted radiology and surgery Apr 3, 2025
PURPOSE: Autonomous systems in mechanical thrombectomy (MT) hold promise for reducing procedure times, minimizing radiation exposure, and enhancing patient safety. However, current reinforcement learning (RL) methods only reach the carotid arteries, ...
Thrombectomy Cerebral Arteries Computer Simulation Surgery, Computer-Assisted Humans Algorithms Patient Safety
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Developing a deep learning model for the automated monitoring of acupuncture needle insertion: enhancing safety in traditional acupuncture practices.

BMC complementary medicine and therapies Mar 18, 2025
BACKGROUND: Acupuncture is a widely practiced traditional therapy, yet safety concerns, particularly needle breakage and retention, remain critical issues that can lead to complications such as infections, organ injury, or chronic pain. This study ai...
Acupuncture Therapy Needles Humans Patient Safety Deep Learning
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Integration of Virtual Technology and Artificial Intelligence Improves Satisfaction, Patient Safety, and Nursing Workforce Efficiency.

Journal of nursing care quality Feb 25, 2025
BACKGROUND: Virtual care technology including artificial intelligence (AI) may augment nursing functions creating flexibility in staffing that reduces workforce shortages and enhances patient safety.
Patient Safety Efficiency, Organizational Humans Artificial Intelligence Nursing Staff, Hospital Quality Improvement Patient Satisfaction
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AI for image quality and patient safety in CT and MRI.

European radiology experimental Feb 23, 2025
Substantial endeavors have been recently dedicated to developing artificial intelligence (AI) solutions, especially deep learning-based, tailored to enhance radiological procedures, in particular algorithms designed to minimize radiation exposure and...
Tomography, X-Ray Computed Artificial Intelligence Magnetic Resonance Imaging Humans Patient Safety
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Radiation oncology at crossroads: Rise of AI and managing the unexpected.

Journal of applied clinical medical physics Feb 17, 2025
Integrating artificial intelligence (AI) into radiation oncology has revolutionized clinical workflows, enhancing efficiency, safety, and quality. However, this transformation comes with a price of increased complexity and the emergence of unpredicta...
Humans Artificial Intelligence Radiation Oncology Patient Safety Neoplasms Risk Assessment Risk Management
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Development of a Preliminary Patient Safety Classification System for Generative AI.

BMJ quality & safety Jan 28, 2025
Generative artificial intelligence (AI) technologies have the potential to revolutionise healthcare delivery but require classification and monitoring of patient safety risks. To address this need, we developed and evaluated a preliminary classificat...
Artificial Intelligence Medical Errors Patient Safety Humans
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Artificial intelligence-powered chatbots in search engines: a cross-sectional study on the quality and risks of drug information for patients.

BMJ quality & safety Jan 28, 2025
BACKGROUND: Search engines often serve as a primary resource for patients to obtain drug information. However, the search engine market is rapidly changing due to the introduction of artificial intelligence (AI)-powered chatbots. The consequences for...
Information Seeking Behavior Surveys and Questionnaires Comprehension Search Engine Humans Patient Safety Generative Artificial Intelligence
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