AIMC Topic: Privacy

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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 Data Collection Humans Artificial Intelligence Language Biomedical Research
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A practical guide to the development and deployment of deep learning models for the orthopaedic surgeon: Part III, focus on registry creation, diagnosis, and data privacy.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Mar 1, 2024
Deep learning is a subset of artificial intelligence (AI) with enormous potential to transform orthopaedic surgery. As has already become evident with the deployment of Large Language Models (LLMs) like ChatGPT (OpenAI Inc.), deep learning can rapidl...
Humans Artificial Intelligence Privacy Orthopedic Surgeons Deep Learning Registries
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Preserving privacy in big data research: the role of federated learning in spine surgery.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Feb 25, 2024
PURPOSE: Integrating machine learning models into electronic medical record systems can greatly enhance decision-making, patient outcomes, and value-based care in healthcare systems. Challenges related to data accessibility, privacy, and sharing can ...
Privacy Orthopedic Procedures Machine Learning Electronic Health Records Humans Big Data Spine
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Ethics of artificial intelligence in dermatology.

Clinics in dermatology Feb 23, 2024
The integration of artificial intelligence (AI) in dermatology holds promise for enhancing clinical accuracy, enabling earlier detection of skin malignancies, suggesting potential management of skin lesions and eruptions, and promoting improved conti...
Personal Autonomy Informed Consent Privacy Dermatology Humans Artificial Intelligence
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Differential privacy preserved federated learning for prognostic modeling in COVID-19 patients using large multi-institutional chest CT dataset.

Medical physics Feb 9, 2024
BACKGROUND: Notwithstanding the encouraging results of previous studies reporting on the efficiency of deep learning (DL) in COVID-19 prognostication, clinical adoption of the developed methodology still needs to be improved. To overcome this limitat...
Prognosis Tomography, X-Ray Computed Humans COVID-19 Male Middle Aged Female Aged Datasets as Topic Radiography, Thoracic Deep Learning Privacy
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Secure and privacy improved cloud user authentication in biometric multimodal multi fusion using blockchain-based lightweight deep instance-based DetectNet.

Network (Bristol, England) Jan 31, 2024
This research introduces an innovative solution addressing the challenge of user authentication in cloud-based systems, emphasizing heightened security and privacy. The proposed system integrates multimodal biometrics, deep learning (Instance-based l...
Blockchain Humans Computer Security Privacy Deep Learning Cloud Computing Biometric Identification
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Unlocking the Secrets Behind Advanced Artificial Intelligence Language Models in Deidentifying Chinese-English Mixed Clinical Text: Development and Validation Study.

Journal of medical Internet research Jan 25, 2024
BACKGROUND: The widespread use of electronic health records in the clinical and biomedical fields makes the removal of protected health information (PHI) essential to maintain privacy. However, a significant portion of information is recorded in unst...
Humans Artificial Intelligence Electronic Health Records China Privacy Natural Language Processing
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Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 11, 2024
Deep learning continues to rapidly evolve and is now demonstrating remarkable potential for numerous medical prediction tasks. However, realizing deep learning models that generalize across healthcare organizations is challenging. This is due, in par...
Medical Informatics Deep Learning Humans Privacy Electronic Health Records
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Secret learning for lung cancer diagnosis-a study with homomorphic encryption, texture analysis and deep learning.

Biomedical physics & engineering express Dec 8, 2023
Advanced lung cancer diagnoses from radiographic images include automated detection of lung cancer from CT-Scan images of the lungs. Deep learning is a popular method for decision making which can be used to classify cancerous and non-cancerous lungs...
Computer Security Humans Lung Lung Neoplasms Deep Learning Privacy
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Dynamic Corrected Split Federated Learning With Homomorphic Encryption for U-Shaped Medical Image Networks.

IEEE journal of biomedical and health informatics Dec 5, 2023
U-shaped networks have become prevalent in various medical image tasks such as segmentation, and restoration. However, most existing U-shaped networks rely on centralized learning which raises privacy concerns. To address these issues, federated lear...
Machine Learning Diagnostic Imaging Privacy
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