AIMC Topic: Biomedical Research

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Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort study.

The Lancet. Digital health May 1, 2021
BACKGROUND: By 2050, almost 5 billion people globally are projected to have myopia, of whom 20% are likely to have high myopia with clinically significant risk of sight-threatening complications such as myopic macular degeneration. These are diagnose...
Deep Learning Humans Artificial Intelligence Cohort Studies ROC Curve Retrospective Studies Biomedical Research Datasets as Topic Algorithms Proof of Concept Study Retina Blockchain Area Under Curve Macular Degeneration Myopia Reproducibility of Results
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Artificial Intelligence-related Literature in Transplantation: A Practical Guide.

Transplantation Apr 1, 2021
Biomedical Research Big Data Data Mining Transplantation Models, Theoretical Humans Artificial Intelligence Databases, Factual
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A Primer on Machine Learning.

Transplantation Apr 1, 2021
Databases, Factual Biomedical Research Big Data Humans Machine Learning Data Mining Transplantation
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The Future Role of Machine Learning in Clinical Transplantation.

Transplantation Apr 1, 2021
The use of artificial intelligence and machine learning (ML) has revolutionized our daily lives and will soon be instrumental in healthcare delivery. The rise of ML is due to multiple factors: increasing access to massive datasets, exponential increa...
Humans Machine Learning Databases, Factual Big Data Biomedical Research Data Mining Deep Learning Transplantation
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UMLS-based data augmentation for natural language processing of clinical research literature.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: The study sought to develop and evaluate a knowledge-based data augmentation method to improve the performance of deep learning models for biomedical natural language processing by overcoming training data scarcity.
Data Management Information Storage and Retrieval Natural Language Processing Unified Medical Language System Biomedical Research
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In Vivo Assay of Cortical Microcircuitry in Frontotemporal Dementia: A Platform for Experimental Medicine Studies.

Cerebral cortex (New York, N.Y. : 1991) Feb 5, 2021
The analysis of neural circuits can provide crucial insights into the mechanisms of neurodegeneration and dementias, and offer potential quantitative biological tools to assess novel therapeutics. Here we use behavioral variant frontotemporal dementi...
Machine Learning Neural Pathways Brain Models, Neurological Magnetoencephalography Cerebral Cortex Aged Signal Processing, Computer-Assisted Biomedical Research Male Humans Frontotemporal Dementia Middle Aged Female
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Artificial Intelligence on High Throughput Data for Biomedical Research.

Combinatorial chemistry & high throughput screening Jan 1, 2021
Biomedical Research High-Throughput Screening Assays Humans Artificial Intelligence
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Using Neural Networks for Relation Extraction from Biomedical Literature.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
Using different sources of information to support automated extracting of relations between biomedical concepts contributes to the development of our understanding of biological systems. The primary comprehensive source of these relations is biomedic...
Neural Networks, Computer Algorithms Databases, Factual Data Mining Biological Ontologies Biomedical Research Publications
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Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
With the biomedical field generating large quantities of time series data, there has been a growing interest in developing and refining machine learning methods that allow its mining and exploitation. Classification is one of the most important and c...
Deep Learning Data Mining Machine Learning Biomedical Research Humans
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Predictive modeling in reproductive medicine: Where will the future of artificial intelligence research take us?

Fertility and sterility Nov 1, 2020
Artificial intelligence (AI) systems have been proposed for reproductive medicine since 1997. Although AI is the main driver of emergent technologies in reproduction, such as robotics, Big Data, and internet of things, it will continue to be the engi...
Animals Machine Learning Fertilization in Vitro Humans Forecasting Reproductive Medicine Artificial Intelligence Biomedical Research
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