AIMC Topic: Privacy
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Multicenter privacy-preserving model training for deep learning brain metastases autosegmentation.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Jul 3, 2024
OBJECTIVES: This work aims to explore the impact of multicenter data heterogeneity on deep learning brain metastases (BM) autosegmentation performance, and assess the efficacy of an incremental transfer learning technique, namely learning without for...
Privacy-Preserving Cameras for Fall Detection: Data Acquisition for Artificial Intelligence.
Computers, informatics, nursing : CIN
Jul 1, 2024
Artificial intelligence and its implications for data privacy.
Current opinion in psychology
Jun 22, 2024
Contemporary, multidisciplinary research sheds light on data privacy implications of artificial intelligence (AI). This review adopts an AI ecosystem perspective and proposes a process-outcome continuum to classify AI technologies; this perspective h...
Responsible AI for cardiovascular disease detection: Towards a privacy-preserving and interpretable model.
Computer methods and programs in biomedicine
Jun 17, 2024
BACKGROUND AND OBJECTIVE: Cardiovascular disease (CD) is a major global health concern, affecting millions with symptoms like fatigue and chest discomfort. Timely identification is crucial due to its significant contribution to global mortality. In h...
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...
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