AIMC Topic: Decision Support Systems, Clinical

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Innovative strategies against superbugs: Developing an AI-CDSS for precise Stenotrophomonas maltophilia treatment.

Journal of global antimicrobial resistance Jun 22, 2024
OBJECTIVES: The World Health Organization named Stenotrophomonas maltophilia (SM) a critical multi-drug resistant threat, necessitating rapid diagnostic strategies. Traditional culturing methods require up to 96 h, including 72 h for bacterial growth...
Trimethoprim, Sulfamethoxazole Drug Combination Stenotrophomonas maltophilia Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Gram-Negative Bacterial Infections Levofloxacin Artificial Intelligence Machine Learning Anti-Bacterial Agents Microbial Sensitivity Tests Drug Resistance, Multiple, Bacterial Decision Support Systems, Clinical Humans
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Improving clinical abbreviation sense disambiguation using attention-based Bi-LSTM and hybrid balancing techniques in imbalanced datasets.

Journal of evaluation in clinical practice Jun 21, 2024
RATIONALE: Clinical abbreviations pose a challenge for clinical decision support systems due to their ambiguity. Additionally, clinical datasets often suffer from class imbalance, hindering the classification of such data. This imbalance leads to cla...
Natural Language Processing Abbreviations as Topic Deep Learning Decision Support Systems, Clinical Humans Neural Networks, Computer Electronic Health Records
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Clinicians and AI use: where is the professional guidance?

Journal of medical ethics Jun 21, 2024
With the introduction of artificial intelligence (AI) to healthcare, there is also a need for professional guidance to support its use. New (2022) reports from National Health Service AI Lab & Health Education England focus on healthcare workers' und...
Trust Decision Support Systems, Clinical State Medicine Humans Artificial Intelligence Health Personnel
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Assessing the Utility, Impact, and Adoption Challenges of an Artificial Intelligence-Enabled Prescription Advisory Tool for Type 2 Diabetes Management: Qualitative Study.

JMIR human factors Jun 13, 2024
BACKGROUND: The clinical management of type 2 diabetes mellitus (T2DM) presents a significant challenge due to the constantly evolving clinical practice guidelines and growing array of drug classes available. Evidence suggests that artificial intelli...
Humans Male Middle Aged Qualitative Research Artificial Intelligence Female Adult Focus Groups Decision Support Systems, Clinical Diabetes Mellitus, Type 2 Hypoglycemic Agents
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Enhancing Clinical Decision Support in Nephrology: Addressing Algorithmic Bias Through Artificial Intelligence Governance.

American journal of kidney diseases : the official journal of the National Kidney Foundation Jun 6, 2024
There has been a steady rise in the use of clinical decision support (CDS) tools to guide nephrology as well as general clinical care. Through guidance set by federal agencies and concerns raised by clinical investigators, there has been an equal ris...
Algorithms Electronic Health Records Decision Support Systems, Clinical Bias Nephrology Humans Artificial Intelligence
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Predicting ICU Interventions: A Transparent Decision Support Model Based on Multivariate Time Series Graph Convolutional Neural Network.

IEEE journal of biomedical and health informatics Jun 6, 2024
In this study, we present a novel approach for predicting interventions for patients in the intensive care unit using a multivariate time series graph convolutional neural network. Our method addresses two critical challenges: the need for timely and...
Intensive Care Units Respiration, Artificial Humans Decision Support Systems, Clinical Neural Networks, Computer Machine Learning Decision Support Techniques
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A computational clinical decision-supporting system to suggest effective anti-epileptic drugs for pediatric epilepsy patients based on deep learning models using patient's medical history.

BMC medical informatics and decision making May 31, 2024
BACKGROUND: Epilepsy, a chronic brain disorder characterized by abnormal brain activity that causes seizures and other symptoms, is typically treated using anti-epileptic drugs (AEDs) as the first-line therapy. However, due to the variations in their...
Medical History Taking Adolescent Male Humans Child, Preschool Infant Decision Support Systems, Clinical Female Deep Learning Epilepsy Child Anticonvulsants
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Achieving large-scale clinician adoption of AI-enabled decision support.

BMJ health & care informatics May 30, 2024
Computerised decision support (CDS) tools enabled by artificial intelligence (AI) seek to enhance accuracy and efficiency of clinician decision-making at the point of care. Statistical models developed using machine learning (ML) underpin most curren...
Machine Learning Decision Support Systems, Clinical Australia Humans Artificial Intelligence
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Evaluation of an automated clinical decision system with deep learning dose prediction and NTCP model for prostate cancer proton therapy.

Physics in medicine and biology May 30, 2024
To evaluate the feasibility of using a deep learning dose prediction approach to identify patients who could benefit most from proton therapy based on the normal tissue complication probability (NTCP) model.Two 3D UNets were established to predict ph...
Humans Male Deep Learning Decision Support Systems, Clinical Radiotherapy Dosage Prostatic Neoplasms Probability Proton Therapy Organs at Risk Automation Uncertainty Radiotherapy Planning, Computer-Assisted Radiation Dosage
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The Effect of Artificial Intelligence on Patient-Physician Trust: Cross-Sectional Vignette Study.

Journal of medical Internet research May 28, 2024
BACKGROUND: Clinical decision support systems (CDSSs) based on routine care data, using artificial intelligence (AI), are increasingly being developed. Previous studies focused largely on the technical aspects of using AI, but the acceptability of th...
Physician-Patient Relations Aged Netherlands Adult Cross-Sectional Studies Middle Aged Humans Surveys and Questionnaires Artificial Intelligence Male Decision Support Systems, Clinical Female Trust
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