AIMC Topic: Artificial Intelligence
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Health Care Professionals' Concerns About Medical AI and Psychological Barriers and Strategies for Successful Implementation: Scoping Review.
Journal of medical Internet research
Apr 23, 2025
BACKGROUND: The rapid progress in the development of artificial intelligence (AI) is having a substantial impact on health care (HC) delivery and the physician-patient interaction.
Expectations of Intensive Care Physicians Regarding an AI-Based Decision Support System for Weaning From Continuous Renal Replacement Therapy: Predevelopment Survey Study.
JMIR medical informatics
Apr 23, 2025
BACKGROUND: Critically ill patients in intensive care units (ICUs) require continuous monitoring, generating vast amounts of data. Clinical decision support systems (CDSS) leveraging artificial intelligence (AI) technologies have shown promise in imp...
Interoperability Framework of the European Health Data Space for the Secondary Use of Data: Interactive European Interoperability Framework-Based Standards Compliance Toolkit for AI-Driven Projects.
Journal of medical Internet research
Apr 23, 2025
The successful implementation of the European Health Data Space (EHDS) for the secondary use of data (known as EHDS2) hinges on overcoming significant challenges, including the proper implementation of interoperability standards, harmonization of div...
Evaluating the ability of artificial intelligence to predict suicide: A systematic review of reviews.
Journal of affective disorders
Apr 22, 2025
INTRODUCTION: Suicide remains a critical global public health issue, with approximately 800,000 deaths annually. Despite various prevention efforts, suicide rates are rising, highlighting the need for more effective strategies. Traditional suicide ri...
Are AI-based surveillance systems for healthcare-associated infections ready for clinical practice? A systematic review and meta-analysis.
Artificial intelligence in medicine
Apr 22, 2025
Healthcare-associated infections (HAIs) are a global public health concern, imposing significant clinical and financial burdens. Despite advancements, surveillance methods remain largely manual and resource-intensive, often leading to underreporting....
Plaque burden improves the detection of ischemic CAD over stenosis from coronary computed tomography angiography.
The international journal of cardiovascular imaging
Apr 22, 2025
In symptomatic patients undergoing coronary CTA for suspected coronary artery disease (CAD), we assessed if quantification of plaque burden, in addition to luminal narrowing and clinical risk factors, offers incremental value for the identification o...
Humans
Plaque, Atherosclerotic
Vascular Calcification
Computed Tomography Angiography
Coronary Artery Disease
Male
Coronary Vessels
Middle Aged
Multidetector Computed Tomography
Myocardial Perfusion Imaging
Severity of Illness Index
Reproducibility of Results
Coronary Stenosis
Artificial Intelligence
Predictive Value of Tests
Risk Factors
Retrospective Studies
Coronary Angiography
Aged
Female
Radiographic Image Interpretation, Computer-Assisted
[Acute respiratory distress syndrome-quo vadis : Innovative and individualized treatment approaches].
Medizinische Klinik, Intensivmedizin und Notfallmedizin
Apr 22, 2025
Acute respiratory distress syndrome (ARDS) is a heterogeneous clinical syndrome characterized by variable pathophysiology and different therapeutic approaches. Recent guidelines emphasize the importance of prone positioning and venovenous extracorpor...
Artificial intelligence based assessment of clinical reasoning documentation: an observational study of the impact of the clinical learning environment on resident documentation quality.
BMC medical education
Apr 22, 2025
BACKGROUND: Objective measures and large datasets are needed to determine aspects of the Clinical Learning Environment (CLE) impacting the essential skill of clinical reasoning documentation. Artificial Intelligence (AI) offers a solution. Here, the ...
Development of explainable artificial intelligence based machine learning model for predicting 30-day hospital readmission after renal transplantation.
BMC nephrology
Apr 22, 2025
BACKGROUND: Hospital readmission following renal transplantation significantly impacts patient outcomes and healthcare resources. While machine learning approaches offer promising solutions for risk prediction, their clinical application often lacks ...
Artificial intelligence real-time automated recognition of the gastric antrum cross-sectional area and motility rhythm via bedside ultrasound: a pilot study.
Scientific reports
Apr 22, 2025
The cross-sectional area (CSA) of the gastric antrum and its motility rhythm reflects the gastrointestinal function of critically ill patients. Monitoring the CSA and motility rhythm is crucial but remains time-consuming and operator dependent. This ...
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