AIMC Topic: Confidentiality

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Methods and Algorithms of Ensuring Data Privacy in AI-Based Healthcare Systems and Technologies.

Studies in health technology and informatics Aug 22, 2024
This project seeks to devise novel algorithms and techniques leveraged in healthcare to guarantee data privacy in AI-powered systems. To bolster its credibility, the study review presents various modern approaches and technologies used to preserve da...
Confidentiality Computer Security Delivery of Health Care Electronic Health Records Artificial Intelligence Digital Health Humans
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[ARTIFICIAL INTELLIGENCE AND MEDICAL ETHICS].

Harefuah Jul 1, 2024
Artificial intelligence has burst into our lives with great vigor in recent years. We encounter it in all areas of life, as well as in the field of medicine. The article refers to medical ethics in two areas: One field is medicine based on Mega Data ...
Humans Personal Autonomy Confidentiality Big Data Ethics, Medical Artificial Intelligence Physicians
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Machine Learning in Health Care: Ethical Considerations Tied to Privacy, Interpretability, and Bias.

North Carolina medical journal Jun 1, 2024
Machine learning models hold great promise with medical applications, but also give rise to a series of ethical challenges. In this survey we focus on training data, model interpretability and bias and the related issues tied to privacy, autonomy, an...
Humans Machine Learning Confidentiality Privacy Delivery of Health Care Bias
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A review on legal issues of medical robots.

Medicine May 24, 2024
This paper examines the legal challenges associated with medical robots, including their legal status, liability in cases of malpractice, and concerns over patient data privacy and security. And this paper scrutinizes China's nuanced response to thes...
China Robotics Malpractice Liability, Legal Confidentiality Humans Computer Security
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Collaborative and privacy-enhancing workflows on a clinical data warehouse: an example developing natural language processing pipelines to detect medical conditions.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVE: To develop and validate a natural language processing (NLP) pipeline that detects 18 conditions in French clinical notes, including 16 comorbidities of the Charlson index, while exploring a collaborative and privacy-enhancing workflow.
Data Warehousing Electronic Health Records Natural Language Processing Confidentiality France Workflow Machine Learning Humans Algorithms
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Ethical considerations for artificial intelligence in dermatology: a scoping review.

The British journal of dermatology May 17, 2024
The field of dermatology is experiencing the rapid deployment of artificial intelligence (AI), from mobile applications (apps) for skin cancer detection to large language models like ChatGPT that can answer generalist or specialist questions about sk...
Dermatology Computer Security Mobile Applications Confidentiality Skin Diseases Telemedicine Informed Consent Artificial Intelligence Diagnostic Errors Humans
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Health Care AI and Patient Privacy-Dinerstein v Google.

JAMA Mar 19, 2024
Search Engine Confidentiality Privacy Artificial Intelligence Humans Delivery of Health Care Electronic Health Records
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Federated Multiple Imputation for Variables that Are Missing Not At Random in Distributed Electronic Health Records.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
Large electronic health records (EHR) have been widely implemented and are available for research activities. The magnitude of such databases often requires storage and computing infrastructure that are distributed at different sites. Restrictions on...
Humans Electronic Health Records Confidentiality Privacy Machine Learning Algorithms
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Ethical considerations in telehealth and artificial intelligence for work related musculoskeletal disorders: A scoping review.

Work (Reading, Mass.) Jan 1, 2024
BACKGROUND: Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to perform tasks that typically require human intelligence. The integration of AI and telehealth applications in healthcare raises...
Telemedicine Confidentiality Musculoskeletal Diseases Informed Consent Occupational Diseases Humans Artificial Intelligence
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Deep-KEDI: Deep learning-based zigzag generative adversarial network for encryption and decryption of medical images.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Medical imaging techniques have improved to the point where security has become a basic requirement for all applications to ensure data security and data transmission over the internet. However, clinical images hold personal and sensitive...
Diagnostic Imaging Confidentiality Humans Deep Learning Image Processing, Computer-Assisted Computer Security Neural Networks, Computer
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