AIMC Topic: State Medicine

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Implementing an artificial intelligence command centre in the NHS: a mixed-methods study.

Health and social care delivery research Oct 1, 2024
BACKGROUND: Hospital 'command centres' use digital technologies to collect, analyse and present real-time information that may improve patient flow and patient safety. Bradford Royal Infirmary has trialled this approach and presents an opportunity to...
Artificial Intelligence COVID-19 Patient Safety Humans United Kingdom State Medicine Hospitals, Teaching SARS-CoV-2 Qualitative Research Interviews as Topic
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Scaling up a Clinical AI Fellowship.

Studies in health technology and informatics Jul 24, 2024
Insights derived from successfully scaling a Clinical AI NHS Fellowship, addressing the scarcity of professionals proficient in clinical and Artificial Intelligence (AI) domains. Approach focus on operationalising a novel educational route critical f...
State Medicine Fellowships and Scholarships Humans Artificial Intelligence Curriculum United Kingdom
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Classifying real-world macroscopic images in the primary-secondary care interface using transfer learning: implications for development of artificial intelligence solutions using nondermoscopic images.

Clinical and experimental dermatology Jun 25, 2024
BACKGROUND: The application of deep learning (DL) to diagnostic dermatology has been the subject of numerous studies, with some reporting skin lesion classification performance on curated datasets comparable to that of experienced dermatologists. Mos...
Humans Artificial Intelligence Algorithms Primary Health Care State Medicine Skin Diseases Secondary Care Dermatology Dermoscopy Deep Learning
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Deploying artificial intelligence software in an NHS trust: a how-to guide for clinicians.

The British journal of radiology Jan 23, 2024
Over the past 10 years, artificial intelligence (AI) has become one of the fastest-growing sectors in healthcare. There are now numerous new technologies designed to cut costs and improve diagnoses and treatment pathways. However, there is significan...
Humans Artificial Intelligence Software Algorithms Emergency Service, Hospital State Medicine
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The time is now: making the case for a UK registry of deployment of radiology artificial intelligence applications.

Clinical radiology Feb 1, 2023
Artificial intelligence (AI)-based healthcare applications (apps) are rapidly evolving, and radiology is a target specialty for their implementation. In this paper, we put the case for a national deployment registry to track the spread of AI apps int...
United Kingdom State Medicine Humans Artificial Intelligence Radiology Radiologists Registries
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Pressing issues in healthcare digital technologies and AI.

British journal of nursing (Mark Allen Publishing) Jan 26, 2023
Lecturer in Law, Birmingham Law School, University of Birmingham, discusses several reports addressing patient safety, ethical and legal issues in healthcare digital technologies and artificial intelligence.
State Medicine Patient Safety United Kingdom Digital Technology Artificial Intelligence Delivery of Health Care Humans
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Potential for Machine Learning in Burn Care.

Journal of burn care & research : official publication of the American Burn Association May 17, 2022
Burn-related injuries are a leading cause of morbidity across the globe. Accurate assessment and treatment have been demonstrated to reduce the morbidity and mortality. This essay explores the forms of artificial intelligence to be implemented the fi...
Artificial Intelligence Machine Learning Logistic Models Burns State Medicine Humans
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The computer says no: AI, health law, ethics and patient safety.

British journal of nursing (Mark Allen Publishing) Jul 22, 2021
, Lecturer in Law, Birmingham Law School, University of Birmingham, discusses some recent reports on artificial intelligence (AI) and machine learning in the context of law, ethics and patient safety.
Humans United Kingdom Computers Artificial Intelligence State Medicine Patient Safety
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Women's attitudes to the use of AI image readers: a case study from a national breast screening programme.

BMJ health & care informatics Mar 1, 2021
BACKGROUND: Researchers and developers are evaluating the use of mammogram readers that use artificial intelligence (AI) in clinical settings.
Mammography State Medicine Attitude Patient Acceptance of Health Care Cross-Sectional Studies Middle Aged Humans Early Detection of Cancer Artificial Intelligence Female Adult
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Robot-assisted training compared with an enhanced upper limb therapy programme and with usual care for upper limb functional limitation after stroke: the RATULS three-group RCT.

Health technology assessment (Winchester, England) Oct 1, 2020
BACKGROUND: Loss of arm function is common after stroke. Robot-assisted training may improve arm outcomes.
Models, Economic Quality-Adjusted Life Years Technology Assessment, Biomedical Middle Aged Stroke Rehabilitation Activities of Daily Living Aged United Kingdom Quality of Life Cost-Benefit Analysis Humans Recovery of Function Adult State Medicine Severity of Illness Index Robotics Male Female Upper Extremity Single-Blind Method
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