AIMC Topic: 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...
Privacy Humans Language Data Collection Artificial Intelligence Biomedical Research
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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 Artificial Intelligence Machine Learning Data Collection 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...
Artificial Intelligence Algorithms Humans Data Collection Internet of Things Health Facilities
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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...
Technology Data Collection Recognition, Psychology Machine Learning Research Design Humans
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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...
Female Ovarian Neoplasms Natural Language Processing Data Collection Humans Retrospective Studies United Kingdom Medical Audit
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Ethical Considerations for Artificial Intelligence in Medical Imaging: Data Collection, Development, and Evaluation.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Dec 1, 2023
The development of artificial intelligence (AI) within nuclear imaging involves several ethically fraught components at different stages of the machine learning pipeline, including during data collection, model training and validation, and clinical u...
Machine Learning Data Collection Molecular Imaging Humans Advisory Committees Artificial Intelligence
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A Conference (Missingness in Action) to Address Missingness in Data and AI in Health Care: Qualitative Thematic Analysis.

Journal of medical Internet research Nov 23, 2023
BACKGROUND: Missingness in health care data poses significant challenges in the development and implementation of artificial intelligence (AI) and machine learning solutions. Identifying and addressing these challenges is critical to ensuring the con...
Machine Learning Algorithms Artificial Intelligence Data Collection Data Accuracy Humans
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Ethical Considerations of Using ChatGPT in Health Care.

Journal of medical Internet research Aug 11, 2023
ChatGPT has promising applications in health care, but potential ethical issues need to be addressed proactively to prevent harm. ChatGPT presents potential ethical challenges from legal, humanistic, algorithmic, and informational perspectives. Legal...
Reproducibility of Results Patient Compliance Data Collection Artificial Intelligence Humans Disclosure
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