AIMC Topic: Informed Consent
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ECG AI-Guided Screening for Low Ejection Fraction (EAGLE): Rationale and design of a pragmatic cluster randomized trial.
American heart journal
Oct 25, 2019
BACKGROUND: A deep learning algorithm to detect low ejection fraction (EF) using routine 12-lead electrocardiogram (ECG) has recently been developed and validated. The algorithm was incorporated into the electronic health record (EHR) to automaticall...
A two-site survey of medical center personnel's willingness to share clinical data for research: implications for reproducible health NLP research.
BMC medical informatics and decision making
Apr 4, 2019
BACKGROUND: A shareable repository of clinical notes is critical for advancing natural language processing (NLP) research, and therefore a goal of many NLP researchers is to create a shareable repository of clinical notes, that has breadth (from mult...
Should Artificial Intelligence Augment Medical Decision Making? The Case for an Autonomy Algorithm.
AMA journal of ethics
Sep 1, 2018
A significant proportion of elderly and psychiatric patients do not have the capacity to make health care decisions. We suggest that machine learning technologies could be harnessed to integrate data mined from electronic health records (EHRs) and so...
Protecting Your Patients' Interests in the Era of Big Data, Artificial Intelligence, and Predictive Analytics.
Journal of the American College of Radiology : JACR
Feb 6, 2018
The Hippocratic oath and the Belmont report articulate foundational principles for how physicians interact with patients and research subjects. The increasing use of big data and artificial intelligence techniques demands a re-examination of these pr...
Ethical challenges in the use of social service robots for elderly people.
Zeitschrift fur Gerontologie und Geriatrie
May 25, 2016
Socially assistive robots are increasingly discussed as solutions in care and domestic use for the support of senior adults; however, this raises ethical questions which hitherto have not been considered or were not predictable. The most important qu...
Relational Ethics in the Administration of Healthcare Technology: AI, Automation and Proper Distance.
Sociology of health & illness
Jun 1, 2025
Automation and AI-driven decision support systems are increasingly reshaping healthcare, particularly in diagnostic and clinical management contexts. Although their potential to enhance access, efficiency and personalisation is widely recognised, the...
The Silent Partner: A Narrative Review of AI's Impact on Informed Consent.
Journal of law and medicine
Jun 1, 2025
The integration of artificial intelligence (AI) into health care presents significant challenges for traditional informed consent practices. This review examines the legal and ethical implications of using AI in clinical decision-making, with a focus...
Participatory Co-Creation of an AI-Supported Patient Information System: A Multi-Method Qualitative Study.
Studies in health technology and informatics
May 15, 2025
In radiology and other medical fields, informed consent often rely on paper-based forms, which can overwhelm patients with complex terminology. These forms are also resource-intensive. The KIPA project addresses these challenges by developing an AI-a...
Legal Implication in Utilizing Automated Robots: A Written Informed Consent Form Proposal.
The international journal of medical robotics + computer assisted surgery : MRCAS
Apr 1, 2025
BACKGROUND: Robotic systems enhance physicians' capabilities by replicating hand movements in real-time, ensuring precise control and a quick return to conventional procedures if patient safety is compromised. Physicians performing robot-assisted pro...
The ethical considerations of integrating artificial intelligence into surgery: a review.
Interdisciplinary cardiovascular and thoracic surgery
Mar 5, 2025
The integration of artificial intelligence (AI) into surgery raises significant ethical concerns, including the impact on autonomy, human authority and the patient-doctor relationship. This study underscores the need for a multidisciplinary approach ...
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