AIMC Topic: Privacy

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Privacy-Preserving Federated Model Predicting Bipolar Transition in Patients With Depression: Prediction Model Development Study.

Journal of medical Internet research Jul 20, 2023
BACKGROUND: Mood disorder has emerged as a serious concern for public health; in particular, bipolar disorder has a less favorable prognosis than depression. Although prompt recognition of depression conversion to bipolar disorder is needed, early pr...
Humans Depression Bipolar Disorder Machine Learning Retrospective Studies Mood Disorders Privacy
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Patient Perspectives on Artificial Intelligence in Radiology.

Journal of the American College of Radiology : JACR Jul 14, 2023
There are two major areas for patient engagement in radiology artificial intelligence (AI). One is in the sharing of data for AI development; the second is the use of AI in patient care. In general, individuals support sharing deidentified data if us...
Artificial Intelligence Privacy Algorithms Humans Radiology Radiologists
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The FeatureCloud Platform for Federated Learning in Biomedicine: Unified Approach.

Journal of medical Internet research Jul 12, 2023
BACKGROUND: Machine learning and artificial intelligence have shown promising results in many areas and are driven by the increasing amount of available data. However, these data are often distributed across different institutions and cannot be easil...
Artificial Intelligence Software Humans Privacy Computer Communication Networks Algorithms Health Occupations
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Do Gradient Inversion Attacks Make Federated Learning Unsafe?

IEEE transactions on medical imaging Jun 30, 2023
Federated learning (FL) allows the collaborative training of AI models without needing to share raw data. This capability makes it especially interesting for healthcare applications where patient and data privacy is of utmost concern. However, recent...
Supervised Machine Learning Privacy Medical Informatics Humans Neural Networks, Computer
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Federated Learning With Privacy-Preserving Ensemble Attention Distillation.

IEEE transactions on medical imaging Jun 30, 2023
Federated Learning (FL) is a machine learning paradigm where many local nodes collaboratively train a central model while keeping the training data decentralized. This is particularly relevant for clinical applications since patient data are usually ...
Privacy Machine Learning Humans
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Differentially private knowledge transfer for federated learning.

Nature communications Jun 24, 2023
Extracting useful knowledge from big data is important for machine learning. When data is privacy-sensitive and cannot be directly collected, federated learning is a promising option that extracts knowledge from decentralized data by learning and exc...
Artificial Intelligence Knowledge Machine Learning Big Data Privacy
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Ethical considerations on artificial intelligence in dentistry: A framework and checklist.

Journal of dentistry Jun 22, 2023
OBJECTIVE: Artificial Intelligence (AI) refers to the ability of machines to perform cognitive and intellectual human tasks. In dentistry, AI offers the potential to enhance diagnostic accuracy, improve patient outcomes and streamline workflows. The ...
Focus Groups Dentistry Privacy Checklist Artificial Intelligence Humans
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Preserving privacy in surgical video analysis using a deep learning classifier to identify out-of-body scenes in endoscopic videos.

Scientific reports Jun 7, 2023
Surgical video analysis facilitates education and research. However, video recordings of endoscopic surgeries can contain privacy-sensitive information, especially if the endoscopic camera is moved out of the body of patients and out-of-body scenes a...
Humans Deep Learning Cholecystectomy Privacy Video Recording Laparoscopy
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Generating synthetic personal health data using conditional generative adversarial networks combining with differential privacy.

Journal of biomedical informatics Jun 1, 2023
A large amount of personal health data that is highly valuable to the scientific community is still not accessible or requires a lengthy request process due to privacy concerns and legal restrictions. As a solution, synthetic data has been studied an...
Minority Groups Humans Machine Learning Privacy
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ChatGPT in Colorectal Surgery: A Promising Tool or a Passing Fad?

Annals of biomedical engineering May 10, 2023
Colorectal surgery is a specialized branch of surgery that involves the diagnosis and treatment of conditions affecting the colon, rectum, and anus. In the recent years, the use of artificial intelligence (AI) has gained considerable interest in vari...
Colorectal Surgery Clinical Decision-Making Physician-Patient Relations Artificial Intelligence Postoperative Care Privacy Humans Software
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