AIMC Topic: Decision Support Systems, Clinical

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Machine Learning Approaches to Identify Factors Associated with Women's Vasomotor Symptoms Using General Hospital Data.

Journal of Korean medical science May 3, 2021
BACKGROUND: To analyze the factors associated with women's vasomotor symptoms (VMS) using machine learning.
Republic of Korea Female Middle Aged Decision Support Systems, Clinical Humans Machine Learning Sweating Women's Health Vasomotor System Hot Flashes Monocytes Thyrotropin Body Weight Menopause
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Three ways of knowing: the integration of clinical expertise, evidence-based medicine, and artificial intelligence in assisted reproductive technologies.

Journal of assisted reproduction and genetics Apr 19, 2021
Decision-making in fertility care is on the cusp of a significant frameshift. Online tools to integrate artificial intelligence into the decision-making process across all aspects of ART are rapidly emerging. These tools have the potential to improve...
Precision Medicine Electronic Health Records Female Decision Support Systems, Clinical Humans Artificial Intelligence Evidence-Based Medicine Reproductive Techniques, Assisted Image Processing, Computer-Assisted Fertilization in Vitro Oocytes
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Triage-driven diagnosis of Barrett's esophagus for early detection of esophageal adenocarcinoma using deep learning.

Nature medicine Apr 15, 2021
Deep learning methods have been shown to achieve excellent performance on diagnostic tasks, but how to optimally combine them with expert knowledge and existing clinical decision pathways is still an open challenge. This question is particularly impo...
Barrett Esophagus Deep Learning Decision Support Systems, Clinical Adenocarcinoma Early Detection of Cancer Triage Humans Esophagus Case-Control Studies Esophageal Neoplasms
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Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT.

Nature communications Mar 25, 2021
Computational decision support systems could provide clinical value in whole-body FDG-PET/CT workflows. However, limited availability of labeled data combined with the large size of PET/CT imaging exams make it challenging to apply existing supervise...
Whole Body Imaging Multitasking Behavior Image Interpretation, Computer-Assisted Datasets as Topic Fluorodeoxyglucose F18 Humans Machine Learning Decision Support Systems, Clinical Natural Language Processing Positron Emission Tomography Computed Tomography
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Adequacy and Effectiveness of Watson For Oncology in the Treatment of Thyroid Carcinoma.

Frontiers in endocrinology Mar 3, 2021
BACKGROUND: IBM's Watson for Oncology (WFO) is an artificial intelligence tool that trains by acquiring data from the Memorial Sloan Kettering Cancer Center and learns from test cases and experts. This study aimed to analyze the adequacy and effectiv...
Medical Oncology Male Republic of Korea Humans Middle Aged Practice Patterns, Physicians' Female Decision Support Systems, Clinical Artificial Intelligence Thyroid Neoplasms Aged Retrospective Studies Guideline Adherence Adult Treatment Outcome Neoplasm Staging
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Use of Machine Learning to Develop and Evaluate Models Using Preoperative and Intraoperative Data to Identify Risks of Postoperative Complications.

JAMA network open Mar 1, 2021
IMPORTANCE: Postoperative complications can significantly impact perioperative care management and planning.
Intraoperative Period Preoperative Period ROC Curve Decision Support Systems, Clinical United States Follow-Up Studies Risk Assessment Postoperative Complications Incidence Humans Machine Learning Retrospective Studies Female Risk Factors Male Middle Aged
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Association of Clinician Diagnostic Performance With Machine Learning-Based Decision Support Systems: A Systematic Review.

JAMA network open Mar 1, 2021
IMPORTANCE: An increasing number of machine learning (ML)-based clinical decision support systems (CDSSs) are described in the medical literature, but this research focuses almost entirely on comparing CDSS directly with clinicians (human vs computer...
Humans Machine Learning Clinical Competence Decision Support Systems, Clinical
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Artificial intelligence supported anemia control system (AISACS) to prevent anemia in maintenance hemodialysis patients.

International journal of medical sciences Feb 22, 2021
Anemia, for which erythropoiesis-stimulating agents (ESAs) and iron supplements (ISs) are used as preventive measures, presents important difficulties for hemodialysis patients. Nevertheless, the number of physicians able to manage such medications a...
Anemia Iron Datasets as Topic Machine Learning Kidney Failure, Chronic Hematinics Retrospective Studies Hemoglobins Aged Male Electronic Health Records Humans Aged, 80 and over Middle Aged Female Adult Renal Dialysis Decision Support Systems, Clinical
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Machine Learning in Arrhythmia and Electrophysiology.

Circulation research Feb 18, 2021
Machine learning (ML), a branch of artificial intelligence, where machines learn from big data, is at the crest of a technological wave of change sweeping society. Cardiovascular medicine is at the forefront of many ML applications, and there is a si...
Electrophysiologic Techniques, Cardiac Animals Decision Support Systems, Clinical Arrhythmias, Cardiac Humans Models, Cardiovascular Machine Learning
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Bridging the artificial intelligence valley of death in surgical decision-making.

Surgery Feb 16, 2021
Artificial Intelligence Decision Support Techniques Clinical Decision-Making Decision Support Systems, Clinical Disease Management Quality Improvement General Surgery Humans Critical Pathways
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