AIMC Topic: Decision Making, Computer-Assisted

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Embryo selection with artificial intelligence: how to evaluate and compare methods?

Journal of assisted reproduction and genetics Jun 26, 2021
Embryo selection within in vitro fertilization (IVF) is the process of evaluating qualities of fertilized oocytes (embryos) and selecting the best embryo(s) available within a patient cohort for subsequent transfer or cryopreservation. In recent year...
Pregnancy Female Sensitivity and Specificity Image Processing, Computer-Assisted Humans Artificial Intelligence Databases, Factual Sample Size Blastocyst Calibration Decision Making, Computer-Assisted Embryo Transfer Cryopreservation Fertilization in Vitro Area Under Curve
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Can methods of artificial intelligence aid in optimizing patient selection in patients undergoing intrauterine inseminations?

Journal of assisted reproduction and genetics May 24, 2021
PURPOSE: AI and its machine learning algorithms have proven useful in several fields of medicine, including medically assisted reproduction. The purpose of the study was to construct several predictive models based on clinical data and select the bes...
Gonadotropins Support Vector Machine Spermatozoa Patient Selection Insemination, Artificial Letrozole Decision Making, Computer-Assisted Clomiphene Fertility Agents, Female Pregnancy Female Adult Male Humans Neural Networks, Computer Artificial Intelligence
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Development and Validation of a Machine Learning Model Using Administrative Health Data to Predict Onset of Type 2 Diabetes.

JAMA network open May 3, 2021
IMPORTANCE: Systems-level barriers to diabetes care could be improved with population health planning tools that accurately discriminate between high- and low-risk groups to guide investments and targeted interventions.
Young Adult Adult Male Middle Aged Electronic Health Records Female Aged Aged, 80 and over Child Ontario Diabetes Mellitus, Type 2 Age of Onset Risk Assessment Adolescent Incidence Cohort Studies Humans Machine Learning Algorithms Forecasting Retrospective Studies Decision Making, Computer-Assisted
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Machine learning for the prediction of bone metastasis in patients with newly diagnosed thyroid cancer.

Cancer medicine Mar 12, 2021
OBJECTIVES: This study aimed to establish a machine learning prediction model that can be used to predict bone metastasis (BM) in patients with newly diagnosed thyroid cancer (TC).
Humans Bone Neoplasms Area Under Curve SEER Program Decision Making, Computer-Assisted Middle Aged Thyroid Neoplasms Logistic Models Models, Theoretical Machine Learning Female Risk Factors Male
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Machine learning-based prediction model using clinico-pathologic factors for papillary thyroid carcinoma recurrence.

Scientific reports Mar 2, 2021
This study analyzed the prognostic significance of clinico-pathologic factors, including the number of metastatic lymph nodes (LNs) and lymph node ratio (LNR), in patients with papillary thyroid carcinoma (PTC), and attempted to construct a disease r...
Neoplasm Recurrence, Local Thyroid Cancer, Papillary Adolescent Decision Making, Computer-Assisted Thyroid Neoplasms Lymphatic Metastasis Models, Biological Aged Adult Male Middle Aged Humans Machine Learning Retrospective Studies Female
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Machine learning, artificial intelligence and mechanical circulatory support: A primer for clinicians.

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation Feb 27, 2021
Artificial intelligence (AI) refers to the ability of machines to perform intelligent tasks, and machine learning (ML) is a subset of AI describing the ability of machines to learn independently and make accurate predictions. The application of AI co...
Heart Failure Disease Management Heart-Assist Devices Decision Making, Computer-Assisted Humans Artificial Intelligence Machine Learning Algorithms
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Deep Learning Approach for Automated Detection of Myopic Maculopathy and Pathologic Myopia in Fundus Images.

Ophthalmology. Retina Feb 18, 2021
PURPOSE: To determine whether eyes with pathologic myopia can be identified and whether each type of myopic maculopathy lesion on fundus photographs can be diagnosed by deep learning (DL) algorithms.
Middle Aged Deep Learning Visual Acuity Macular Degeneration Macula Lutea Decision Making, Computer-Assisted Myopia, Degenerative Humans Female Aged Male
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A Staging Auxiliary Diagnosis Model for Nonsmall Cell Lung Cancer Based on the Intelligent Medical System.

Computational and mathematical methods in medicine Feb 8, 2021
At present, human health is threatened by many diseases, and lung cancer is one of the most dangerous tumors that threaten human life. In most developing countries, due to the large population and lack of medical resources, it is difficult for doctor...
China Lung Neoplasms Computational Biology Carcinoma, Non-Small-Cell Lung Neoplasm Staging Decision Making, Computer-Assisted Electronic Health Records Biomarkers, Tumor Diagnosis, Computer-Assisted Humans Deep Learning Neural Networks, Computer Algorithms
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Machine Learning for Clinical Outcome Prediction.

IEEE reviews in biomedical engineering Jan 22, 2021
Clinical decision-making in healthcare is already being influenced by predictions or recommendations made by data-driven machines. Numerous machine learning applications have appeared in the latest clinical literature, especially for outcome predicti...
Humans Machine Learning Decision Support Techniques Electronic Health Records Big Data Treatment Outcome Decision Making, Computer-Assisted
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Application of Artificial Intelligence to Address Issues Related to the COVID-19 Virus.

SLAS technology Jan 4, 2021
Artificial intelligence (AI) plays a major role in addressing novel coronavirus 2019 (COVID-19)-related issues and is also used in computer-aided synthesis planning (CASP). AI, including machine learning, is used by artificial neural networks such as...
Decision Making, Computer-Assisted Artificial Intelligence COVID-19 Algorithms SARS-CoV-2 Humans Neural Networks, Computer
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