AIMC Topic: Patients
Clear Filters Showing 31 to 40 of 47 articles
How Should Clinicians Communicate With Patients About the Roles of Artificially Intelligent Team Members?
AMA journal of ethics
Feb 1, 2019
This commentary responds to a hypothetical case involving an assistive artificial intelligence (AI) surgical device and focuses on potential harms emerging from interactions between humans and AI systems. Informed consent and responsibility-specifica...
An intelligent algorithm for identification of optimum mix of demographic features for trust in medical centers in Iran.
Artificial intelligence in medicine
Apr 26, 2018
Healthcare quality is affected by various factors including trust. Patients' trust to healthcare providers is one of the most important factors for treatment outcomes. The presented study identifies optimum mixture of patient demographic features wit...
Patient Acceptance of Health Care
Young Adult
Models, Statistical
Adult
Female
Humans
Physician-Patient Relations
Trust
Male
Reproducibility of Results
Iran
Socioeconomic Factors
Delivery of Health Care
Educational Status
Severity of Illness Index
Middle Aged
Income
Age Factors
Surveys and Questionnaires
Patients
Hospitals
Fuzzy Logic
Adolescent
Uncertainty
Approximate dynamic programming approaches for appointment scheduling with patient preferences.
Artificial intelligence in medicine
Feb 23, 2018
During the appointment booking process in out-patient departments, the level of patient satisfaction can be affected by whether or not their preferences can be met, including the choice of physicians and preferred time slot. In addition, because the ...
Adaptive semi-supervised recursive tree partitioning: The ART towards large scale patient indexing in personalized healthcare.
Journal of biomedical informatics
Feb 3, 2015
With the rapid development of information technologies, tremendous amount of data became readily available in various application domains. This big data era presents challenges to many conventional data analytics research directions including data ca...
Using Artificial Intelligence to Improve Primary Care for Patients and Clinicians.
JAMA internal medicine
Apr 1, 2024
Clinical AI tools must convey predictive uncertainty for each individual patient.
Nature medicine
Dec 1, 2023
Heart-to-heart with ChatGPT: the impact of patients consulting AI for cardiovascular health advice.
Open heart
Nov 1, 2023
OBJECTIVES: The advent of conversational artificial intelligence (AI) systems employing large language models such as ChatGPT has sparked public, professional and academic debates on the capabilities of such technologies. This mixed-methods study set...
A Conceptual Framework to Predict Disease Progressions in Patients with Chronic Kidney Disease, Using Machine Learning and Process Mining.
Studies in health technology and informatics
Jun 29, 2023
Process Mining is a technique looking into the analysis and mining of existing process flow. On the other hand, Machine Learning is a data science field and a sub-branch of Artificial Intelligence with the main purpose of replicating human behavior t...
Artificial intelligence publications: synthetic data, patients, and papers.
International orthopaedics
Jun 1, 2023
Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review.
The Lancet. Digital health
Sep 1, 2021
Artificial intelligence (AI) promises to change health care, with some studies showing proof of concept of a provider-level performance in various medical specialties. However, there are many barriers to implementing AI, including patient acceptance ...
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