AIMC Topic: Confidentiality
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Ethical aspects of artificial intelligence: what urologists need to know.
Current opinion in urology
Mar 20, 2025
PURPOSE OF REVIEW: The integration of artificial intelligence in urology presents both transformative opportunities and ethical dilemmas. As artificial intelligence driven tools become more prevalent in diagnostics, robotic-assisted surgeries, and pa...
Retinal imaging in an era of open science and privacy protection.
Experimental eye research
Mar 14, 2025
Artificial intelligence (AI) holds great promise for analyzing complex data to advance patient care and disease research. For example, AI interpretation of retinal imaging may enable the development of noninvasive retinal biomarkers of systemic disea...
Patient consent for the secondary use of health data in artificial intelligence (AI) models: A scoping review.
International journal of medical informatics
Mar 8, 2025
BACKGROUND: The secondary use of health data for training Artificial Intelligence (AI) models holds immense potential for advancing medical research and healthcare delivery. However, ensuring patient consent for such utilization is paramount to uphol...
Opportunistic access control scheme for enhancing IoT-enabled healthcare security using blockchain and machine learning.
Scientific reports
Mar 4, 2025
The healthcare industry, aided by technology, leverages the Internet of Things (IoT) paradigm to offer patient/user-related services that are ubiquitous and personalized. The authorized repository stores ubiquitous data for which access-level securit...
De-identification of clinical notes with pseudo-labeling using regular expression rules and pre-trained BERT.
BMC medical informatics and decision making
Feb 17, 2025
BACKGROUND: De-identification of clinical notes is essential to utilize the rich information in unstructured text data in medical research. However, only limited work has been done in removing personal information from clinical notes in Korea.
Vertical federated learning based on data subset representation for healthcare application.
Computer methods and programs in biomedicine
Feb 12, 2025
BACKGROUND AND OBJECTIVE: Artificial intelligence is increasingly essential for disease classification and clinical diagnosis tasks in healthcare. Given the strict privacy needs of healthcare data, Vertical Federated Learning (VFL) has been introduce...
The good, the bad, and the ugly: Ethical considerations regarding artificial intelligence assistance in administrative physician tasks.
Clinics in dermatology
Feb 11, 2025
Artificial intelligence is a powerful tool that can potentially transform the diagnostic, therapeutic, and administrative practice of dermatology. Physicians are expected to complete electronic health record documentation in a timely fashion, prepare...
Is more data always better? On alternative policies to mitigate bias in Artificial Intelligence health systems.
Bioethics
Feb 9, 2025
The development and implementation of Artificial Intelligence (AI) health systems represent a great power that comes with great responsibility. Their capacity to improve and transform healthcare involves inevitable risks. A major risk in this regard ...
Optimized Adaboost Support Vector Machine-Based Encryption for Securing IoT-Cloud Healthcare Data.
Sensors (Basel, Switzerland)
Jan 25, 2025
The Internet of Things (IoT) connects various medical devices that enable remote monitoring, which can improve patient outcomes and help healthcare providers deliver precise diagnoses and better service to patients. However, IoT-based healthcare mana...
Towards practical and privacy-preserving CNN inference service for cloud-based medical imaging analysis: A homomorphic encryption-based approach.
Computer methods and programs in biomedicine
Jan 21, 2025
BACKGROUND AND OBJECTIVE: Cloud-based Deep Learning as a Service (DLaaS) has transformed biomedicine by enabling healthcare systems to harness the power of deep learning for biomedical data analysis. However, privacy concerns emerge when sensitive us...
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