AIMC Topic: Population Surveillance

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AI Surveillance during Pandemics: Ethical Implementation Imperatives.

The Hastings Center report May 1, 2020
Artificial intelligence surveillance can be used to diagnose individual cases, track the spread of Covid-19, and help provide care. The use of AI for surveillance purposes (such as detecting new Covid-19 cases and gathering data from healthy and ill ...
Humans Artificial Intelligence Pandemics Privacy Coronavirus Infections Racism Betacoronavirus Pneumonia, Viral COVID-19 Human Rights SARS-CoV-2 Population Surveillance
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Prediction of Polyp Pathology Using Convolutional Neural Networks Achieves "Resect and Discard" Thresholds.

The American journal of gastroenterology Jan 1, 2020
OBJECTIVES: Reliable in situ diagnosis of diminutive (≤5 mm) colorectal polyps could allow for "resect and discard" and "diagnose and leave" strategies, resulting in $1 billion cost savings per year in the United States alone. Current methodologies h...
Narrow Band Imaging Population Surveillance Adenoma Predictive Value of Tests Colonic Polyps Humans Algorithms Forecasting Colorectal Neoplasms Point-of-Care Systems Colonoscopy Deep Learning Time Factors
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Development of a global infectious disease activity database using natural language processing, machine learning, and human expertise.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: We assessed whether machine learning can be utilized to allow efficient extraction of infectious disease activity information from online media reports.
Humans Machine Learning User-Computer Interface Communicable Diseases Databases, Factual Population Surveillance Global Health Natural Language Processing Disease Outbreaks Information Storage and Retrieval
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Assessing Mosquito Breeding Sites and Abundance Using An Unmanned Aircraft.

Journal of the American Mosquito Control Association Sep 1, 2019
An unmanned aircraft system (UAS; i.e., drone) with an attached multispectral camera was used to quantify accumulated surface water on a 0.54-km tidal marsh that abuts San Francisco Bay, CA, USA. The results of the survey showed unequal accumulation ...
Pupa Culicidae Animals Aircraft Ecosystem Wetlands Larva Artificial Intelligence Animal Distribution Population Surveillance
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An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening.

Journal of the National Cancer Institute Sep 1, 2019
BACKGROUND: Human papillomavirus vaccination and cervical screening are lacking in most lower resource settings, where approximately 80% of more than 500 000 cancer cases occur annually. Visual inspection of the cervix following acetic acid applicati...
Case-Control Studies Deep Learning Image Processing, Computer-Assisted Mass Screening Sensitivity and Specificity Uterine Cervical Neoplasms Middle Aged Severity of Illness Index Uterine Cervical Dysplasia Colposcopy Cervix Uteri Early Detection of Cancer Population Surveillance Area Under Curve Humans Algorithms Female Aged Aged, 80 and over Young Adult Adult
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Validity of Natural Language Processing for Ascertainment of and Test Results in SEER Cases of Stage IV Non-Small-Cell Lung Cancer.

JCO clinical cancer informatics May 1, 2019
PURPOSE: SEER registries do not report results of epidermal growth factor receptor () and anaplastic lymphoma kinase () mutation tests. To facilitate population-based research in molecularly defined subgroups of non-small-cell lung cancer (NSCLC), we...
Male Middle Aged Lung Neoplasms Carcinoma, Non-Small-Cell Lung Population Surveillance Natural Language Processing Mutation Registries Female Reproducibility of Results Aged Adult Humans Machine Learning Algorithms ErbB Receptors Genetic Testing Anaplastic Lymphoma Kinase SEER Program DNA Mutational Analysis Kentucky
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Real-time Epidemic Forecasting: Challenges and Opportunities.

Health security Jan 1, 2019
Infectious disease outbreaks play an important role in global morbidity and mortality. Real-time epidemic forecasting provides an opportunity to predict geographic disease spread as well as case counts to better inform public health interventions whe...
Forecasting Public Health Disease Outbreaks Models, Statistical Population Surveillance Humans Data Collection Machine Learning Epidemics
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Unhealthy Behaviors, Prevention Measures, and Neighborhood Cardiovascular Health: A Machine Learning Approach.

Journal of public health management and practice : JPHMP Jan 1, 2019
This study identifies and ranks predictors of cardiovascular health at the neighborhood level in the United States. We merged the 500 Cities Data and the 2011-2015 American Community Survey to create a new data set that includes sociodemographic char...
Humans Machine Learning Female Aged Residence Characteristics Preventive Medicine Population Surveillance Adult Health Behavior Male Behavioral Risk Factor Surveillance System Cardiovascular Diseases United States
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AI surveillance studies need ethics review.

Nature May 1, 2018
Artificial Intelligence Time Factors Population Surveillance Ethics
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Visualization of Cancer and Cardiovascular Disease Co-Occurrence With Network Methods.

JCO clinical cancer informatics Nov 1, 2017
PURPOSE: Cancer and cardiovascular disease (CVD) are common causes of morbidity and mortality, and measurement and interpretation of their co-occurrence rate have important implications for public health and patient care. Here, we present the raw and...
Middle Aged Risk Assessment Neoplasms Aged Population Surveillance Comorbidity Humans Adult United Kingdom Neural Networks, Computer Male Odds Ratio Female Cardiovascular Diseases Life Style Risk Factors
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