AIMC Topic: Decision Support Systems, Clinical

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Predicting Malignancy in Pediatric Thyroid Nodules: Early Experience With Machine Learning for Clinical Decision Support.

The Journal of clinical endocrinology and metabolism Nov 19, 2021
OBJECTIVE: To develop a machine learning tool to integrate clinical data for the prediction of non-benign thyroid cytology and histology.
Thyroid Gland Child Thyroid Neoplasms Machine Learning Prognosis Retrospective Studies Follow-Up Studies Area Under Curve Biopsy, Fine-Needle Ultrasonography Thyroid Nodule Decision Support Systems, Clinical Humans
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Deep Learning, a Not so Magical Problem Solver: A Case Study with Predicting the Complexity of Breast Cancer Cases.

Studies in health technology and informatics Nov 18, 2021
Using guideline-based clinical decision support systems (CDSSs) has improved clinical practice, especially during multidisciplinary tumour boards (MTBs) in cancer patient management. However, MTBs have been reported to be overcrowded, with limited ti...
Humans Neural Networks, Computer Machine Learning Decision Support Systems, Clinical Female Breast Neoplasms Deep Learning
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[Not Available].

CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne Nov 8, 2021
Humans Machine Learning Quality Improvement Program Development Program Evaluation Algorithms Workflow Stakeholder Participation Implementation Science Clinical Decision-Making Outcome Assessment, Health Care Decision Support Systems, Clinical Data Accuracy
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A survey of extant organizational and computational setups for deploying predictive models in health systems.

Journal of the American Medical Informatics Association : JAMIA Oct 12, 2021
OBJECTIVE: Artificial intelligence (AI) and machine learning (ML) enabled healthcare is now feasible for many health systems, yet little is known about effective strategies of system architecture and governance mechanisms for implementation. Our obje...
Delivery of Health Care Decision Support Systems, Clinical Health Facilities Artificial Intelligence Machine Learning
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Surgical data science and artificial intelligence for surgical education.

Journal of surgical oncology Aug 1, 2021
Surgical data science (SDS) aims to improve the quality of interventional healthcare and its value through the capture, organization, analysis, and modeling of procedural data. As data capture has increased and artificial intelligence (AI) has advanc...
Surgical Procedures, Operative Education, Medical, Graduate North America Surgical Oncology Data Science Decision Support Systems, Clinical Europe Artificial Intelligence Clinical Competence Humans
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Improving the delivery of palliative care through predictive modeling and healthcare informatics.

Journal of the American Medical Informatics Association : JAMIA Jun 12, 2021
OBJECTIVE: Access to palliative care (PC) is important for many patients with uncontrolled symptom burden from serious or complex illness. However, many patients who could benefit from PC do not receive it early enough or at all. We sought to address...
Area Under Curve Middle Aged Quality Improvement Machine Learning ROC Curve Medical Informatics Palliative Care Delivery of Health Care Decision Support Systems, Clinical Electronic Health Records Female Humans Aged Male
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Machine-learning model to predict the cause of death using a stacking ensemble method for observational data.

Journal of the American Medical Informatics Association : JAMIA Jun 12, 2021
OBJECTIVE: Cause of death is used as an important outcome of clinical research; however, access to cause-of-death data is limited. This study aimed to develop and validate a machine-learning model that predicts the cause of death from the patient's l...
Humans Machine Learning Models, Statistical Area Under Curve Cause of Death Medical Records Systems, Computerized Observation ROC Curve Decision Support Systems, Clinical United States Databases, Factual Prognosis Republic of Korea
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Towards a Knowledge Graph-Based Explainable Decision Support System in Healthcare.

Studies in health technology and informatics May 27, 2021
The decisions derived from AI-based clinical decision support systems should be explainable and transparent so that the healthcare professionals can understand the rationale behind the predictions. To improve the explanations, knowledge graphs are a ...
Artificial Intelligence Delivery of Health Care Decision Support Systems, Clinical Health Facilities Pattern Recognition, Automated
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Recommendations for the safe, effective use of adaptive CDS in the US healthcare system: an AMIA position paper.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
The development and implementation of clinical decision support (CDS) that trains itself and adapts its algorithms based on new data-here referred to as Adaptive CDS-present unique challenges and considerations. Although Adaptive CDS represents an ex...
Decision Support Systems, Clinical Machine Learning Humans Medical Informatics Algorithms United States Artificial Intelligence Organizational Policy Delivery of Health Care Societies, Medical Health Policy
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Reappraising Medical Syntax-Does Race Belong in the First Line of the Patient History?

JAMA internal medicine Mar 1, 2021
Humans Artificial Intelligence Decision Support Systems, Clinical
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