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ChatGPT and Clinical Decision Support: Scope, Application, and Limitations
This study examines ChatGPT’s role in clinical decision support, by analyzing its scope, application, and limitations. By analyzing patient data and...
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Revolutionary Potential of ChatGPT in Constructing Intelligent Clinical Decision Support Systems
Recently, Chatbot Generative Pre-trained Transformer (ChatGPT) is recognized as a promising clinical decision support system (CDSS) in the medical...
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A medical decision support system using an artificial intelligence module for endoscopic examination of the stomach
The use of deep machine learning methods and algorithms to solve the problem of automatic detection and classification of oncological pathologies on...
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The role of rapid syndromic diagnostic testing of gastrointestinal pathogens as a clinical decision support tool in a pediatric emergency department
PurposeThis study aimed to investigate the role of rapid syndromic diagnostic testing of gastrointestinal pathogens as a clinical decision support...
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Deep learning-aided decision support for diagnosis of skin disease across skin tones
Although advances in deep learning systems for image-based medical diagnosis demonstrate their potential to augment clinical decision-making, the...
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Development of a Japanese Scale that Evaluates the Level of Nursing Support Provided to Patients for Decision-Making in Cancer Clinical Trials
Clinical nurses need learning programs that are useful in nursing support for patients’ decision-making (NSPDM) regarding cancer clinical trials...
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Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
A growing number of artificial intelligence (AI)-based clinical decision support systems are showing promising performance in preclinical, in silico...
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A Decision Support System for preclinical assessment of nanomaterials in medical products: the REFINE DSS
The application of nanomaterials in medicine has led to novel pharmaceuticals and medical devices that have demonstrated a strong potential for...
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A reinforcement learning model for AI-based decision support in skin cancer
We investigated whether human preferences hold the potential to improve diagnostic artificial intelligence (AI)-based decision support using skin...
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A clinical available decision support scheme for optimizing prostate biopsy based on mpMRI
BackgroundCombined MRI/Ultrasound fusion targeted biopsy (TBx) and systematic biopsy (SBx) results in better prostate cancer (PCa) detection relative...
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Implementation of pharmacogenomic clinical decision support for health systems: a cost-utility analysis
We constructed a cost-effectiveness model to assess the clinical and economic value of a CDS alert program that provides pharmacogenomic (PGx)...
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Evaluation and mitigation of the limitations of large language models in clinical decision-making
Clinical decision-making is one of the most impactful parts of a physician’s responsibilities and stands to benefit greatly from artificial...
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Gamified antimicrobial decision support app (GADSA) changes antibiotics prescription behaviour in surgeons in Nigeria: a hospital-based pilot study
AimsSurgical Antibiotic Prophylaxis (SAP) in Nigeria is often not evidence based. The aim of this study is to test if the GADSA application can...
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Utility of support vector machine and decision tree to identify the prognosis of metformin poisoning in the United States: analysis of National Poisoning Data System
BackgroundWith diabetes incidence growing globally and metformin still being the first-line for its treatment, metformin’s toxicity and overdose have...
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Appraisal and development of evidence-based clinical decision support to enable perioperative pharmacogenomic application
Variable responses to medications complicates perioperative care. As a potential solution, we evaluated and synthesized pharmacogenomic evidence that...
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Man vs. machine: comparison of pharmacogenetic expert counselling with a clinical medication support system in a study with 200 genotyped patients
BackgroundMedication problems such as strong side effects or inefficacy occur frequently. At our university hospital, a consultation group of...
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Utilization of Drug Decision Support Strategies Including Drug Characteristics to Reduce the Risk of Iatrogenesis in Advanced Age
Purpose of ReviewThe goal of this review is to examine currently available risk drug decision support strategies including medication...
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OncoPDSS: an evidence-based clinical decision support system for oncology pharmacotherapy at the individual level
BackgroundPrecision oncology pharmacotherapy relies on precise patient-specific alterations that impact drug responses. Due to rapid advances in...
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Effect of genetics clinical decision support tools on health-care providers’ decision making: a mixed-methods systematic review
PurposePatient care involving genetics is challenging for nongenetics health-care providers. Clinical decision support (CDS) tools are a potential...
