AIMC Topic: Data Collection

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Increasing Rigor in Online Health Surveys Through the Reduction of Fraudulent Data.

Journal of medical Internet research Aug 21, 2025
Online surveys have become a key tool of modern health research, offering a fast, cost-effective, and convenient means of data collection. It enables researchers to access diverse populations, such as those underrepresented in traditional studies, an...
Internet Data Collection Fraud Humans Health Surveys
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Developing an AI-powered wound assessment tool: a methodological approach to data collection and model optimization.

BMC medical informatics and decision making Aug 9, 2025
BACKGROUND: Chronic wounds (CWs) represent a significant and growing challenge in healthcare due to their prolonged healing times, complex management, and associated costs. Inadequate wound assessment by healthcare professionals (HCPs), often due to ...
Humans Data Collection Artificial Intelligence Wounds and Injuries Retrospective Studies Mobile Applications Deep Learning Chronic Disease
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Data Collection for Automatic Depression Identification in Spanish Speakers Using Deep Learning Algorithms: Protocol for a Case-Control Study.

JMIR research protocols Jul 31, 2025
BACKGROUND: Depression is a mental health condition that affects millions of people worldwide. Although common, it remains difficult to diagnose due to its heterogeneous symptomatology. Mental health questionnaires are currently the most used assessm...
Algorithms Female Humans Neural Networks, Computer Case-Control Studies Deep Learning Depression Adult Male Spain Voice Smartphone Data Collection
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Generative AI in Medical Practice: In-Depth Exploration of Privacy and Security Challenges.

Journal of medical Internet research Mar 8, 2024
As advances in artificial intelligence (AI) continue to transform and revolutionize the field of medicine, understanding the potential uses of generative AI in health care becomes increasingly important. Generative AI, including models such as genera...
Language Biomedical Research Privacy Data Collection Humans Artificial Intelligence
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Addressing bias in artificial intelligence for public health surveillance.

Journal of medical ethics Feb 20, 2024
Components of artificial intelligence (AI) for analysing social big data, such as natural language processing (NLP) algorithms, have improved the timeliness and robustness of health data. NLP techniques have been implemented to analyse large volumes ...
Bias Data Collection Humans Disease Outbreaks Artificial Intelligence Public Health Surveillance
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Proceedings from the inaugural Artificial Intelligence in Primary Immune Deficiencies (AIPID) conference.

The Journal of allergy and clinical immunology Jan 13, 2024
Here, we summarize the proceedings of the inaugural Artificial Intelligence in Primary Immune Deficiencies conference, during which experts and advocates gathered to advance research into the applications of artificial intelligence (AI), machine lear...
Primary Immunodeficiency Diseases Natural Language Processing Data Collection Artificial Intelligence Machine Learning Humans
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Federated clustered multi-domain learning for health monitoring.

Scientific reports Jan 9, 2024
Wearable Internet of Things (WIoT) and Artificial Intelligence (AI) are rapidly emerging technologies for healthcare. These technologies enable seamless data collection and precise analysis toward fast, resource-abundant, and personalized patient car...
Internet of Things Humans Health Facilities Artificial Intelligence Data Collection Algorithms
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Relabeling for Indoor Localization Using Stationary Beacons in Nursing Care Facilities.

Sensors (Basel, Switzerland) Jan 5, 2024
In this study, we propose an augmentation method for machine learning based on relabeling data in caregiving and nursing staff indoor localization with Bluetooth Low Energy (BLE) technology. Indoor localization is used to monitor staff-to-patient ass...
Humans Technology Data Collection Machine Learning Research Design Recognition, Psychology
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Improved bioimpedance spectroscopy tissue classification through data augmentation from generative adversarial networks.

Medical & biological engineering & computing Dec 29, 2023
Bioimpedance spectroscopy is a tissue classification technique with many clinical applications. Similarly to other data-driven methods, it requires large amounts of data to accurately distinguish similar classes of tissue. Classifiers trained on smal...
Data Collection Neural Networks, Computer Databases, Factual
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Can natural language processing be effectively applied for audit data analysis in gynaecological oncology at a UK cancer centre?

International journal of medical informatics Dec 2, 2023
BACKGROUND: The British Gynaecological Cancer Society (BGCS) has highlighted the disparity of ovarian cancer outcomes in the UK compared to other European countries. Therefore, cancer quality assurance audits and subspecialty training are important i...
Medical Audit Data Collection United Kingdom Retrospective Studies Humans Female Ovarian Neoplasms Natural Language Processing
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