AIMC Topic: Machine Learning

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Integration of machine learning and pharmacogenomic biomarkers for predicting response to antidepressant treatment: can computational intelligence be used to augment clinical assessments?

Pharmacogenomics Sep 1, 2019
Humans Polymorphism, Single Nucleotide Algorithms Artificial Intelligence Antidepressive Agents Machine Learning Biomarkers Depressive Disorder Pharmacogenetics
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Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes.

JCO clinical cancer informatics Sep 1, 2019
PURPOSE: The medical literature relevant to germline genetics is growing exponentially. Clinicians need tools that help to monitor and prioritize the literature to understand the clinical implications of pathogenic genetic variants. We developed and ...
Support Vector Machine Reproducibility of Results Humans Natural Language Processing Neoplasms Oncogenes Polymorphism, Genetic Machine Learning Prevalence Medicine in Literature Knowledge Discovery ROC Curve Genetic Predisposition to Disease
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[Artificial intelligence in healthcare: major potential for innovations in our health system].

Soins; la revue de reference infirmiere Sep 1, 2019
Artificial intelligence (AI) is rapidly being extended across health systems with multiple cases of its use already reported. The most operational technique is machine learning with image recognition in imaging. Solutions derived from this approach, ...
Artificial Intelligence Delivery of Health Care Humans Machine Learning Diffusion of Innovation
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Machine-Learning and Stochastic Tumor Growth Models for Predicting Outcomes in Patients With Advanced Non-Small-Cell Lung Cancer.

JCO clinical cancer informatics Sep 1, 2019
PURPOSE: The prediction of clinical outcomes for patients with cancer is central to precision medicine and the design of clinical trials. We developed and validated machine-learning models for three important clinical end points in patients with adva...
Carcinoma, Non-Small-Cell Lung Randomized Controlled Trials as Topic Neoplasm Staging Tumor Burden Neoplasm Metastasis Models, Biological Combined Modality Therapy Prognosis Lung Neoplasms Treatment Outcome Humans Machine Learning Algorithms Molecular Targeted Therapy Kaplan-Meier Estimate Stochastic Processes
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Prediction of Drug Approval After Phase I Clinical Trials in Oncology: RESOLVED2.

JCO clinical cancer informatics Sep 1, 2019
PURPOSE: Drug development in oncology currently is facing a conjunction of an increasing number of antineoplastic agents (ANAs) candidate for phase I clinical trials (P1CTs) and an important attrition rate for final approval. We aimed to develop a ma...
Antineoplastic Agents United States United States Food and Drug Administration Drug Approval Clinical Trials, Phase I as Topic Medical Oncology Medical Informatics Humans Machine Learning Algorithms Reproducibility of Results
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Machine-learning techniques for the prediction of protein-protein interactions.

Journal of biosciences Sep 1, 2019
Protein-protein interactions (PPIs) are important for the study of protein functions and pathways involved in different biological processes, as well as for understanding the cause and progression of diseases. Several high-throughput experimental tec...
Proteins Bayes Theorem Protein Interaction Maps Computational Biology Support Vector Machine Humans Machine Learning Algorithms
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Artificial Intelligence and Clinical Decision Support for Radiologists and Referring Providers.

Journal of the American College of Radiology : JACR Sep 1, 2019
Recent advances in artificial intelligence (AI) are providing an opportunity to enhance existing clinical decision support (CDS) tools to improve patient safety and drive value-based imaging. We discuss the advantages and potential applications that ...
Decision Support Systems, Clinical Radiology Radiologists Referral and Consultation Health Personnel Female Male Quality Improvement Humans Algorithms Research Design Artificial Intelligence Machine Learning
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Big Data and Radiology Research.

Journal of the American College of Radiology : JACR Sep 1, 2019
Our understanding of human health may be significantly enhanced in the near future because of the unprecedented volume of digitized health care data and the availability of artificial intelligence to mine these data for correlations that could drive ...
Machine Learning Algorithms Forecasting Female Humans Artificial Intelligence Radiology Quality Improvement National Institutes of Health (U.S.) Male Big Data United States
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Using Artificial Intelligence to Improve the Quality and Safety of Radiation Therapy.

Journal of the American College of Radiology : JACR Sep 1, 2019
Within artificial intelligence, machine learning (ML) efforts in radiation oncology have augmented the transition from generalized to personalized treatment delivery. Although their impact on quality and safety of radiation therapy has been limited, ...
Artificial Intelligence Radiotherapy Machine Learning Algorithms Radiotherapy Planning, Computer-Assisted Safety Management Quality Improvement Quality Control Radiotherapy Dosage Forecasting Radiation Oncology Humans
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The Application of Machine Learning to Quality Improvement Through the Lens of the Radiology Value Network.

Journal of the American College of Radiology : JACR Sep 1, 2019
Recent advances in machine learning and artificial intelligence offer promising applications to radiology quality improvement initiatives as they relate to the radiology value network. Coordination within the interlocking web of systems, events, and ...
Humans Artificial Intelligence Machine Learning Workflow Data Collection Quality Improvement Automation Algorithms Forecasting Radiology
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