AIMC Topic: Privacy
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End-to-end pseudonymization of fine-tuned clinical BERT models : Privacy preservation with maintained data utility.
BMC medical informatics and decision making
Jun 12, 2024
Many state-of-the-art results in natural language processing (NLP) rely on large pre-trained language models (PLMs). These models consist of large amounts of parameters that are tuned using vast amounts of training data. These factors cause the model...
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery.
IEEE transactions on medical imaging
Jun 3, 2024
Deep Neural Networks (DNNs) based semantic segmentation of the robotic instruments and tissues can enhance the precision of surgical activities in robot-assisted surgery. However, in biological learning, DNNs cannot learn incremental tasks over time ...
Ethical considerations and concerns in the implementation of AI in pharmacy practice: a cross-sectional study.
BMC medical ethics
May 16, 2024
BACKGROUND: Integrating artificial intelligence (AI) into healthcare has raised significant ethical concerns. In pharmacy practice, AI offers promising advances but also poses ethical challenges.
Artificial Intelligence Chatbots in Healthcare: Navigating Accuracy, Privacy, and Global Applicability.
Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association
May 4, 2024
Patient privacy in AI-driven omics methods.
Trends in genetics : TIG
Apr 17, 2024
Artificial intelligence (AI) in omics analysis raises privacy threats to patients. Here, we briefly discuss risk factors to patient privacy in data sharing, model training, and release, as well as methods to safeguard and evaluate patient privacy in ...
A paradigm shift?-On the ethics of medical large language models.
Bioethics
Mar 25, 2024
After a wave of breakthroughs in image-based medical diagnostics and risk prediction models, machine learning (ML) has turned into a normal science. However, prominent researchers are claiming that another paradigm shift in medical ML is imminent-due...
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...
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...
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 ...
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...
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