AIMC Topic: Hospitals

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Deep learning model for personalized prediction of positive MRSA culture using time-series electronic health records.

Nature communications Mar 6, 2024
Methicillin-resistant Staphylococcus aureus (MRSA) poses significant morbidity and mortality in hospitals. Rapid, accurate risk stratification of MRSA is crucial for optimizing antibiotic therapy. Our study introduced a deep learning model, PyTorch_E...
Critical Care Deep Learning Methicillin-Resistant Staphylococcus aureus Humans Electronic Health Records Hospitals
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Evaluating Natural Language Processing Packages for Predicting Hospital-Acquired Pressure Injuries From Clinical Notes.

Computers, informatics, nursing : CIN Mar 1, 2024
Incidence of hospital-acquired pressure injury, a key indicator of nursing quality, is directly proportional to adverse outcomes, increased hospital stays, and economic burdens on patients, caregivers, and society. Thus, predicting hospital-acquired ...
Humans Critical Care Pressure Ulcer Hospitals Natural Language Processing
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Exploring the Performance of an Artificial Intelligence-Based Load Sensor for Total Knee Replacements.

Sensors (Basel, Switzerland) Jan 17, 2024
Using tibial sensors in total knee replacements (TKRs) can enhance patient outcomes and reduce early revision surgeries, benefitting hospitals, the National Health Services (NHS), stakeholders, biomedical companies, surgeons, and patients. Having a s...
Humans Arthroplasty, Replacement, Knee Hospitals Knee Joint Artificial Intelligence Software
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Virtual hospital and artificial intelligence: a first step towards the application of an innovative health system for the care of rare cerebrovascular diseases.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology Nov 29, 2023
The development of virtual care options, including virtual hospital platforms, is rapidly changing the healthcare, mostly in the pandemic period, due to difficulties in in-person consultations. For this purpose, in 2020, a neurological Virtual Hospit...
Delivery of Health Care Hospitals Pilot Projects Cerebrovascular Disorders Humans Artificial Intelligence
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Comparative survey among paediatricians, nurses and health information technicians on ethics implementation knowledge of and attitude towards social experiments based on medical artificial intelligence at children's hospitals in Shanghai: a cross-sectional study.

BMJ open Nov 21, 2023
OBJECTIVES: Implementing ethics is crucial to prevent harm and promote widespread benefits in social experiments based on medical artificial intelligence (MAI). However, insufficient information is available concerning this within the paediatric heal...
Health Knowledge, Attitudes, Practice Pediatricians China Attitude of Health Personnel Cross-Sectional Studies Surveys and Questionnaires Child Humans Hospitals Artificial Intelligence
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ChatGPT and Artificial Intelligence in Hospital Level Research: Potential, Precautions, and Prospects.

Methodist DeBakey cardiovascular journal Nov 16, 2023
Rapid advancements in artificial intelligence (AI) have revolutionized numerous sectors, including medical research. Among the various AI tools, OpenAI's ChatGPT, a state-of-the-art language model, has demonstrated immense potential in aiding and enh...
Hospitals Exercise Writing Humans Biomedical Research Artificial Intelligence
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Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data.

Artificial intelligence in medicine Nov 15, 2023
MOTIVATION: Acute ischemic stroke is one of the leading causes of morbidity and disability worldwide, often followed by a long rehabilitation period. To improve and personalize stroke rehabilitation, it is essential to provide a reliable prognosis to...
Ischemic Stroke Humans Stroke Tomography, X-Ray Computed Hospitals Deep Learning
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Improved artificial intelligence discrimination of minor histological populations by supplementing with color-adjusted images.

Scientific reports Nov 4, 2023
Despite the dedicated research of artificial intelligence (AI) for pathological images, the construction of AI applicable to histopathological tissue subtypes, is limited by insufficient dataset collection owing to disease infrequency. Here, we prese...
Caffeine Frozen Sections Histocompatibility Testing Artificial Intelligence Hospitals
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In-hospital fall prediction using machine learning algorithms and the Morse fall scale in patients with acute stroke: a nested case-control study.

BMC medical informatics and decision making Nov 1, 2023
BACKGROUND: Falls are one of the most common accidents in medical institutions, which can threaten the safety of inpatients and negatively affect their prognosis. Herein, we developed a machine learning (ML) model for fall prediction in patients with...
Retrospective Studies Hospitals Machine Learning Algorithms Stroke Case-Control Studies Bayes Theorem Humans
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[The transformative effect of artificial intelligence in hospitals : The focus is on the individual].

Innere Medizin (Heidelberg, Germany) Oct 18, 2023
Rapid advances in digital technology and the promising potential of artificial intelligence (AI) are changing our everyday lives and have already impacted on hospital procedures. The use of AI applications, in particular, enables a wide range of poss...
Radiography Reproducibility of Results Patient Care Hospitals Humans Artificial Intelligence
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