AIMC Topic: Data Collection

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Evaluation of data collection and annotation approaches of driver gaze dataset.

Behavior research methods May 14, 2025
Driver gaze estimation is important for various driver gaze applications such as building advanced driving assistance systems and understanding driver gaze behavior. Gaze estimation in terms of gaze zone classification requires large-scale labeled da...
Male Eye-Tracking Technology Humans Automobile Driving Fixation, Ocular Deep Learning Data Collection
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Weighing the benefits and risks of collecting race and ethnicity data in clinical settings for medical artificial intelligence.

The Lancet. Digital health Apr 1, 2025
Many countries around the world do not collect race and ethnicity data in clinical settings. Without such identified data, it is difficult to identify biases in the training data or output of a given artificial intelligence (AI) algorithm, and to wor...
Artificial Intelligence Risk Assessment Ethnicity Data Collection Racial Groups Humans
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Invited commentary: deep learning-methods to amplify epidemiologic data collection and analyses.

American journal of epidemiology Feb 5, 2025
Deep learning is a subfield of artificial intelligence and machine learning, based mostly on neural networks and often combined with attention algorithms, that has been used to detect and identify objects in text, audio, images, and video. Serghiou a...
Humans Epidemiologic Methods Deep Learning Data Collection
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Artificial Intelligence for Climate Change Biology: From Data Collection to Predictions.

Integrative and comparative biology Sep 27, 2024
In the era of big data, ecological research is experiencing a transformative shift, yet big-data advancements in thermal ecology and the study of animal responses to climate conditions remain limited. This review discusses how big data analytics and ...
Animals Big Data Artificial Intelligence Microclimate Data Collection Climate Change
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Navigating the Complexities of Artificial Intelligence-Enabled Real-World Data Collection for Oncology Pharmacovigilance.

JCO clinical cancer informatics May 1, 2024
This new editorial discusses the promise and challenges of successful integration of natural language processing methods into electronic health records for timely, robust, and fair oncology pharmacovigilance.
Adverse Drug Reaction Reporting Systems Natural Language Processing Data Collection Pharmacovigilance Medical Oncology Electronic Health Records Neoplasms Artificial Intelligence Humans
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Implementation of a Clinical, Patient-Level Dashboard at a Mental Health Hospital: Lessons Learned from Two Pilot Clinics.

Studies in health technology and informatics Feb 19, 2024
The Centre for Addiction and Mental Health has implemented mechanisms to standardize routine data collection with the vision of a Learning Health System. To improve clinical decision-making and patient outcomes, a clinical dashboard was implemented t...
Mental Health Data Collection Hospitals, Psychiatric Artificial Intelligence Humans Clinical Decision-Making
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Maturity degree assessment of hospital ward system using integrated fuzzy AHP-TOPSIS model.

Medicine Nov 3, 2023
BACKGROUND: The hospital ward system is the core service unit of a hospital and an important aspect of hospital management. The maturity of the hospital ward system represents the level of development and improvement in ward management and services. ...
Hospitals Fuzzy Logic Data Collection Humans Analytic Hierarchy Process Hospital Administration
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Evaluating the Effects of Misinformation on Public Sentiments Surrounding Access to Abortion Through Social Media Sentiment Analytics.

Studies in health technology and informatics Oct 20, 2023
As social media use has grown in recent years, ease of access and rapid data collection through online social media has permitted researchers to measure and track sentiments related to emerging public health threats. Herein, we explore the possibilit...
Sentiment Analysis Humans Attitude Social Media Social Networking Data Collection Pregnancy Female
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Prescriptive Method for Optimizing Cost of Data Collection and Annotation in Machine Learning of Clinical Ultrasound.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
UNLABELLED: Machine learning in medical ultrasound faces a major challenge: the prohibitive costs of producing and annotating clinical data. Optimizing the data collection and annotation will improve model training efficiency, reducing project cost a...
Problem-Based Learning Ultrasonography Data Collection Machine Learning
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The Inverse Data Law: Market Imperatives, Data, and Quality in AI Supported Care.

Studies in health technology and informatics May 18, 2023
Over the last decade, the explosion of "Big Data" and its fusion with AI has led many to believe that the development and integration of AI systems in healthcare will usher in a transformative revolution that democratises access to high quality healt...
Big Data Artificial Intelligence Data Collection Quality of Health Care Humans Delivery of Health Care
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