AIMC Topic: Nurse Practitioners
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Artificial intelligence knows the value of nurse practitioners-Why can't other humans?
Journal of the American Association of Nurse Practitioners
Oct 1, 2023
Development and Assessment of an Artificial Intelligence-Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices.
JAMA network open
Apr 1, 2021
IMPORTANCE: Most dermatologic cases are initially evaluated by nondermatologists such as primary care physicians (PCPs) or nurse practitioners (NPs).
A deep learning system for differential diagnosis of skin diseases.
Nature medicine
May 18, 2020
Skin conditions affect 1.9 billion people. Because of a shortage of dermatologists, most cases are seen instead by general practitioners with lower diagnostic accuracy. We present a deep learning system (DLS) to provide a differential diagnosis of sk...
Dermatitis, Seborrheic
Folliculitis
Nurse Practitioners
Keratosis, Seborrheic
Warts
Carcinoma, Squamous Cell
Adult
Alaska Natives
Male
Native Hawaiian or Pacific Islander
Middle Aged
Black or African American
Deep Learning
Female
Indians, North American
Diagnosis, Differential
Humans
Eczema
Hispanic or Latino
Melanoma
Psoriasis
Dermatologists
Telemedicine
Acne Vulgaris
Skin Neoplasms
Skin Diseases
White People
Asian
Carcinoma, Basal Cell
Physicians, Primary Care
Photography
Facilitating accurate health provider directories using natural language processing.
BMC medical informatics and decision making
Apr 4, 2019
BACKGROUND: Accurate information in provider directories are vital in health care including health information exchange, health benefits exchange, quality reporting, and in the reimbursement and delivery of care. Maintaining provider directory data a...
Primary Care Provider Perceptions and Practices Regarding Dosing Units for Oral Liquid Medications.
Academic pediatrics
Dec 18, 2017
INTRODUCTION: To prevent errors, health care professional and safety organizations recommend using milliliters (mL) alone for oral liquid medication dosing instructions and devices. In 2018, for federal incentives under the Quality Payment Program, o...
Physicians, Family
Attitude of Health Personnel
Pharmaceutical Preparations
Medication Errors
Administration, Oral
Nurse Practitioners
Physicians, Primary Care
Adult
Humans
Pediatricians
Drug Prescriptions
Male
Electronic Health Records
Electronic Prescribing
Middle Aged
Female
Internal Medicine
Surveys and Questionnaires
Artificial intelligence and advanced practice nursing.
The Nurse practitioner
Jul 1, 2025
This article explores the integration of artificial intelligence (AI) in advanced practice nursing, highlighting its potential to enhance clinical decision-making, diagnostic accuracy, and workflow efficiency. AI offers substantial benefits for NPs, ...
AI in practice: Opportunities, obstacles, and outlook.
The Nurse practitioner
Jun 1, 2025
The integration of artificial intelligence (AI) into clinical practice represents a paradigm shift in healthcare delivery, with significant implications for NPs. This emerging technology offers a myriad of benefits, including enhanced practice effici...
Artificial intelligence in cardiovascular practice.
The Nurse practitioner
May 1, 2025
Artificial intelligence (AI) is everywhere, but how is this expansive technology being used in cardiovascular care? This article explores common AI models, how they are transforming healthcare delivery, and important roles for clinicians, including a...
AI and Big Data: Current and Future Nursing Practitioners' Views on Future of Healthcare Education Provision.
Studies in health technology and informatics
Jul 24, 2024
Artificial Intelligence (AI) is defined as "the capacity of a computer, robot, programmed device, or software application to perform operations and tasks analogous to learning and decision making in humans, such as speech recognition or question answ...
Measuring the Impact of AI in the Diagnosis of Hospitalized Patients: A Randomized Clinical Vignette Survey Study.
JAMA
Dec 19, 2023
IMPORTANCE: Artificial intelligence (AI) could support clinicians when diagnosing hospitalized patients; however, systematic bias in AI models could worsen clinician diagnostic accuracy. Recent regulatory guidance has called for AI models to include ...
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