AI Medical Compendium Journal:
Annals of the New York Academy of Sciences

Showing 21 to 28 of 28 articles

Deep learning differentiates between healthy and diabetic mouse ears from optical coherence tomography angiography images.

Annals of the New York Academy of Sciences Feb 26, 2021
We trained a deep learning algorithm to use skin optical coherence tomography (OCT) angiograms to differentiate between healthy and type 2 diabetic mice. OCT angiograms were acquired with a custom-built OCT system based on an akinetic swept laser at ...
Reproducibility of Results Animals Case-Control Studies Deep Learning Machine Learning Algorithms Female Tomography, Optical Coherence Diabetes Mellitus, Experimental Angiography Ear ROC Curve Image Processing, Computer-Assisted Mice Diagnosis, Differential
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Human cognition and the AI revolution.

Annals of the New York Academy of Sciences Jun 4, 2019
Discovering the true nature of reality may ultimately hinge on grasping the nature and essence of human understanding. What are the fundamental elements or building blocks of human cognition? And how will the rise of superintelligent machines challen...
Brain Cognition Humans Models, Theoretical Neural Networks, Computer Consciousness Logic Artificial Intelligence Comprehension Algorithms Mathematics
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Structured radiology reporting on an institutional level-benefit or new administrative burden?

Annals of the New York Academy of Sciences May 16, 2018
Significant technical advances have been made in radiology since the first discovery of X-rays. Diagnostic techniques have become more and more complex, workflows have been digitized, and data production has increased exponentially. However, the radi...
Humans Machine Learning Image Processing, Computer-Assisted
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Evolvix BEST Names for semantic reproducibility across code2brain interfaces.

Annals of the New York Academy of Sciences Dec 5, 2016
Names in programming are vital for understanding the meaning of code and big data. We define code2brain (C2B) interfaces as maps in compilers and brains between meaning and naming syntax, which help to understand executable code. While working toward...
Humans Software Reproducibility of Results Computational Biology Brain-Computer Interfaces Terminology as Topic Cloud Computing Software Design Internet Data Mining Programming Languages Biological Ontologies
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Advanced literature analysis in a Big Data world.

Annals of the New York Academy of Sciences Nov 10, 2016
Comprehensive data mining of the scientific literature has become an increasing challenge. To address this challenge, Elsevier's Pathway Studio software uses the techniques of natural language processing to systematically extract specific biological ...
National Institute of Mental Health (U.S.) Database Management Systems Databases, Bibliographic Mass Screening Natural Language Processing Periodicals as Topic Translational Research, Biomedical Schizophrenia Data Mining Abstracting and Indexing Anxiety Disorders Bipolar Disorder Computational Biology United States Biomedical Research Animals Depressive Disorder, Major Humans Software Mental Disorders Biomarkers Prognosis
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Introducing the Big Knowledge to Use (BK2U) challenge.

Annals of the New York Academy of Sciences Oct 17, 2016
The purpose of the Big Data to Knowledge initiative is to develop methods for discovering new knowledge from large amounts of data. However, if the resulting knowledge is so large that it resists comprehension, referred to here as Big Knowledge (BK),...
Humans Animals Image Processing, Computer-Assisted Computational Biology Models, Neurological Terminology as Topic Intracranial Hemorrhages Decision Making, Computer-Assisted Knowledge Bases Data Mining Image Interpretation, Computer-Assisted Systematized Nomenclature of Medicine Pharmaceutical Preparations Drug Interactions Translational Research, Biomedical
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Machine learning approaches to personalize early prediction of asthma exacerbations.

Annals of the New York Academy of Sciences Sep 14, 2016
Patient telemonitoring results in an aggregation of significant amounts of information about patient disease trajectory. However, the potential use of this information for early prediction of exacerbations in adult asthma patients has not been system...
Models, Biological Combined Modality Therapy Telemedicine Self Care Monitoring, Physiologic Precision Medicine Severity of Illness Index Asthma Bayes Theorem ROC Curve Disease Progression Prognosis Humans Internet Decision Support Systems, Clinical Electronic Health Records Machine Learning Computational Biology Adult Algorithms
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Predictive time-series modeling using artificial neural networks for Linac beam symmetry: an empirical study.

Annals of the New York Academy of Sciences Sep 14, 2016
Over half of cancer patients receive radiotherapy (RT) as partial or full cancer treatment. Daily quality assurance (QA) of RT in cancer treatment closely monitors the performance of the medical linear accelerator (Linac) and is critical for continuo...
Humans Databases, Factual Neural Networks, Computer Reproducibility of Results Machine Learning Neoplasms Forecasting Computational Biology Kinetics Models, Biological Quality Assurance, Health Care Empirical Research Radiosurgery In Vivo Dosimetry Longitudinal Studies Regression Analysis Bayes Theorem
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