AIMC Topic: Information Dissemination
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Editor's view: Value of information in the 21st century - examples from science, medicine, policy, media, and markets.
Journal of global health
Jun 20, 2025
This editorial explores the concept of the 'value of information' in the 21st century through five distinct domains: science, medicine, policy, media, and markets. It uses examples to show that not all information is of equal value. Valuable informat...
Infodemic Versus Viral Information Spread: Key Differences and Open Challenges.
JMIR infodemiology
May 7, 2025
As we move beyond the COVID-19 pandemic, the risk of future infodemics remains significant, driven by emerging health crises and the increasing influence of artificial intelligence in the information ecosystem. During periods of apparent stability, p...
Secure healthcare data sharing and attack detection framework using radial basis neural network.
Scientific reports
May 2, 2025
Secure medical data sharing and access control play a prominent role. However, it is still unclear how to provide a security architecture that can guarantee the privacy and safety of sensitive medical data. Existing methods are application-specific a...
Empowering Data Sharing in Neuroscience: A Deep Learning Deidentification Method for Pediatric Brain MRIs.
AJNR. American journal of neuroradiology
May 2, 2025
BACKGROUND AND PURPOSE: Privacy concerns, such as identifiable facial features within brain scans, have hindered the availability of pediatric neuroimaging data sets for research. Consequently, pediatric neuroscience research lags adult counterparts,...
Federated learning with differential privacy for breast cancer diagnosis enabling secure data sharing and model integrity.
Scientific reports
Apr 16, 2025
In the digital age, privacy preservation is of paramount importance while processing health-related sensitive information. This paper explores the integration of Federated Learning (FL) and Differential Privacy (DP) for breast cancer detection, lever...
[Making prostate cancer research accessible: chatGPT-4 as a tool to enhance lay communication].
Urologie (Heidelberg, Germany)
Apr 7, 2025
BACKGROUND AND OBJECTIVE: The abundant potential arising from various applications of artificial intelligence is gradually influencing academic and scientific communication. This study examines the suitability of ChatGPT‑4 for generating layperson's ...
Classifying and fact-checking health-related information about COVID-19 on Twitter/X using machine learning and deep learning models.
BMC medical informatics and decision making
Feb 11, 2025
BACKGROUND: Despite recent progress in misinformation detection methods, further investigation is required to develop more robust fact-checking models with particular consideration for the unique challenges of health information sharing. This study a...
Sharing reliable information worldwide: healthcare strategies based on artificial intelligence need external validation. Position paper.
BMC medical informatics and decision making
Feb 4, 2025
Training machine learning models using data from severe COVID-19 patients admitted to a central hospital, where entire wards are specifically dedicated to COVID-19, may yield predictions that differ significantly from those generated using data colle...
Challenges and Opportunities for Data Sharing Related to Artificial Intelligence Tools in Health Care in Low- and Middle-Income Countries: Systematic Review and Case Study From Thailand.
Journal of medical Internet research
Feb 4, 2025
BACKGROUND: Health care systems in low- and middle-income countries (LMICs) can greatly benefit from artificial intelligence (AI) interventions in various use cases such as diagnostics, treatment, and public health monitoring but face significant cha...
Preserving privacy in healthcare: A systematic review of deep learning approaches for synthetic data generation.
Computer methods and programs in biomedicine
Dec 28, 2024
BACKGROUND: Data sharing in healthcare is vital for advancing research and personalized medicine. However, the process is hindered by privacy, ethical, and legal challenges associated with patient data. Synthetic data generation emerges as a promisin...
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