AIMC Topic: Delivery of Health Care

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On the cusp: Considering the impact of artificial intelligence language models in healthcare.

Med (New York, N.Y.)
Goodman et al. discuss how AI technologies like the natural language processing model Chat-GPT could potentially transform healthcare through knowledge dissemination and personalized patient education. Before these tools can be safely integrated into...

Embedding patient-reported outcomes at the heart of artificial intelligence health-care technologies.

The Lancet. Digital health
Integration of patient-reported outcome measures (PROMs) in artificial intelligence (AI) studies is a critical part of the humanisation of AI for health. It allows AI technologies to incorporate patients' own views of their symptoms and predict outco...

Artificial intelligence to enhance clinical value across the spectrum of cardiovascular healthcare.

European heart journal
Artificial intelligence (AI) is increasingly being utilized in healthcare. This article provides clinicians and researchers with a step-wise foundation for high-value AI that can be applied to a variety of different data modalities. The aim is to imp...

Using Natural Language Processing to Improve Discrete Data Capture From Interpretive Cervical Biopsy Diagnoses at a Large Health Care Organization.

Archives of pathology & laboratory medicine
CONTEXT.—: The terminology used by pathologists to describe and grade dysplasia and premalignant changes of the cervical epithelium has evolved over time. Unfortunately, coexistence of different classification systems combined with nonstandardized in...

Pressing issues in healthcare digital technologies and AI.

British journal of nursing (Mark Allen Publishing)
Lecturer in Law, Birmingham Law School, University of Birmingham, discusses several reports addressing patient safety, ethical and legal issues in healthcare digital technologies and artificial intelligence.

Diachronic and synchronic variation in the performance of adaptive machine learning systems: the ethical challenges.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Machine learning (ML) has the potential to facilitate "continual learning" in medicine, in which an ML system continues to evolve in response to exposure to new data over time, even after being deployed in a clinical setting. In this arti...

Technology Platforms and Approaches for Building and Evaluating Machine Learning Methods in Healthcare.

The journal of applied laboratory medicine
BACKGROUND: Artificial intelligence (AI) methods are becoming increasingly commonly implemented in healthcare as decision support, business intelligence tools, or, in some cases, Food and Drug Administration-approved clinical decision-makers. Advance...

Optimizing Equity: Working towards Fair Machine Learning Algorithms in Laboratory Medicine.

The journal of applied laboratory medicine
BACKGROUND: Methods of machine learning provide opportunities to use real-world data to solve complex problems. Applications of these methods in laboratory medicine promise to increase diagnostic accuracy and streamline laboratory operations leading ...

THE IMPACT OF THE INTRODUCTION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES ON THE CURRENT HUMAN RIGHTS AND FREEDOMS CONCEPT.

Polski merkuriusz lekarski : organ Polskiego Towarzystwa Lekarskiego
Artificial Intelligence (AI) has undeniably transformed the landscape of healthcare, offering unparalleled potential to enhance patient care, streamline diagnostics, and improve overall healthcare outcomes. As AI continues to make its way into the me...