AIMC Topic: Confidentiality
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Exploring the landscape of AI adoption in cosmetic medicine and surgery: Insights from the 25th IMCAS Congress (International Master Course in Aging Science).
Journal of cosmetic dermatology
May 7, 2024
INTRODUCTION: The integration of artificial intelligence (AI) into cosmetic medicine promises to revolutionize the field by enhancing diagnosis, treatment planning, and patient care.
[Data-driven intensive care: a lack of comprehensive datasets].
Medizinische Klinik, Intensivmedizin und Notfallmedizin
Apr 26, 2024
Intensive care units provide a data-rich environment with the potential to generate datasets in the realm of big data, which could be utilized to train powerful machine learning (ML) models. However, the currently available datasets are too small and...
Ethical Dilemmas of Using Artificial Intelligence in Medicine.
American journal of therapeutics
Apr 25, 2024
BACKGROUND: Artificial intelligence (AI) is considered the fourth industrial revolution that will change the evolution of humanity technically and relationally. Although the term has been around since 1956, it has only recently become apparent that A...
Ethical and legal issues regarding artificial intelligence (AI) and management of surgical data.
European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Mar 27, 2024
The advent of AI in surgical practice is representing a major innovation. As its role expands and due to its several implications, strict compliance with ethical, legal and regulatory good practices is mandatory. Observance of ethical principles and ...
[Analysis of the challenges and dilemmas that bioethics of the 21st century will face in the digital health era].
Atencion primaria
Mar 6, 2024
The medical history underscores the significance of ethics in each advancement, with bioethics playing a pivotal role in addressing emerging ethical challenges in digital health (DH). This article examines the ethical dilemmas of innovations in DH, f...
Automatic de-identification of French electronic health records: a cost-effective approach exploiting distant supervision and deep learning models.
BMC medical informatics and decision making
Feb 16, 2024
BACKGROUND: Electronic health records (EHRs) contain valuable information for clinical research; however, the sensitive nature of healthcare data presents security and confidentiality challenges. De-identification is therefore essential to protect pe...
Challenges of artificial intelligence in medicine and dermatology.
Clinics in dermatology
Jan 4, 2024
Artificial intelligence (AI) in medicine and dermatology brings additional challenges related to bias, transparency, ethics, security, and inequality. Bias in AI algorithms can arise from biased training data or decision-making processes, leading to ...
De-identification of free text data containing personal health information: a scoping review of reviews.
International journal of population data science
Dec 12, 2023
INTRODUCTION: Using data in research often requires that the data first be de-identified, particularly in the case of health data, which often include Personal Identifiable Information (PII) and/or Personal Health Identifying Information (PHII). Ther...
Lightweight Multi-Class Support Vector Machine-Based Medical Diagnosis System with Privacy Preservation.
Sensors (Basel, Switzerland)
Nov 8, 2023
Machine learning, powered by cloud servers, has found application in medical diagnosis, enhancing the capabilities of smart healthcare services. Research literature demonstrates that the support vector machine (SVM) consistently demonstrates remarkab...
Multi-Level Ethical Considerations of Artificial Intelligence Health Monitoring for People Living with Parkinson's Disease.
AJOB empirical bioethics
Oct 27, 2023
Artificial intelligence (AI) has garnered tremendous attention in health care, and many hope that AI can enhance our health system's ability to care for people with chronic and degenerative conditions, including Parkinson's Disease (PD). This paper r...
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