AIMC Topic: Data Collection

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Deep Learning with Skip Connection Attention for Choroid Layer Segmentation in OCT Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Since the thickness and shape of the choroid layer are indicators for the diagnosis of several ophthalmic diseases, the choroid layer segmentation is an important task. There exist many challenges in segmentation of the choroid layer. In this paper, ...
Choroid Deep Learning Tomography, Optical Coherence Attention Data Collection
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Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
As many algorithms depend on a suitable representation of data, learning unique features is considered a crucial task. Although supervised techniques using deep neural networks have boosted the performance of representation learning, the need for a l...
Dietary Supplements Data Collection Lymphatic System Neural Networks, Computer Algorithms
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Artificial Intelligence: Promise, Pitfalls, and Perspective.

JAMA Jun 23, 2020
Pneumonia, Viral Coronavirus Infections Data Collection Automobile Driving Image Interpretation, Computer-Assisted Comprehension Betacoronavirus Randomized Controlled Trials as Topic Natural Language Processing Radiology Deep Learning Automobiles Pandemics COVID-19 Forecasting Delivery of Health Care Electronic Health Records SARS-CoV-2 Artificial Intelligence
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Clinical History Segment Extraction from Chronic Fatigue Syndrome Assessments to Model Disease Trajectories.

Studies in health technology and informatics Jun 16, 2020
Chronic fatigue syndrome (CFS) is a long-term illness with a wide range of symptoms and condition trajectories. To improve the understanding of these, automated analysis of large amounts of patient data holds promise. Routinely documented assessments...
Natural Language Processing Data Collection Humans Fatigue Syndrome, Chronic Electronic Health Records
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Machine-Learning Implementation in Clinical Anesthesia: Opportunities and Challenges.

Anesthesia and analgesia Jun 1, 2020
Electronic Health Records Point-of-Care Systems Clinical Competence Humans Machine Learning Europe Workflow Confidentiality Decision Support Systems, Clinical United States Decision Making Medical Informatics Anesthesia Data Collection United States Food and Drug Administration
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Systematic Review of Digital Phenotyping and Machine Learning in Psychosis Spectrum Illnesses.

Harvard review of psychiatry Jan 1, 2020
BACKGROUND: Digital phenotyping is the use of data from smartphones and wearables collected in situ for capturing a digital expression of human behaviors. Digital phenotyping techniques can be used to analyze both passively (e.g., sensor) and activel...
Humans Machine Learning Phenotype Schizophrenia Psychotic Disorders Data Collection Wearable Electronic Devices Bipolar Disorder Smartphone
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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 ...
Machine Learning Algorithms Forecasting Quality Improvement Radiology Humans Automation Workflow Artificial Intelligence Data Collection
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Strengths, Weaknesses, Opportunities, and Threats Analysis of Artificial Intelligence and Machine Learning Applications in Radiology.

Journal of the American College of Radiology : JACR Sep 1, 2019
Currently, the use of artificial intelligence (AI) in radiology, particularly machine learning (ML), has become a reality in clinical practice. Since the end of the last century, several ML algorithms have been introduced for a wide range of common i...
Male Printing, Three-Dimensional Radiology Workflow Humans Data Collection Health Care Sector Artificial Intelligence Algorithms Machine Learning Forecasting Female
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Number and Angle Analysis in UWB Radar Deployment for Vital Sign Monitoring.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
In recent years, more studies focus on the UltraWide Band (UWB) radar to provide a noncontact vital sign monitoring service. To further improve the accuracy of vital sign monitoring, the UWB radar network composed by multiple radars is considered for...
Thorax Neural Networks, Computer Radar Data Collection
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Prediction of patient evolution in terms of Clinical Risk Groups form routinely collected data using machine learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Chronicity is a problem that is affecting quality of life and increasing healthcare costs worldwide. Predictive tools can help mitigate these effects by encouraging the patients' and healthcare system's proactivity. This research work uses supervised...
Machine Learning Forecasting Prognosis Humans Risk Assessment Quality of Life Data Collection
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