AIMC Topic: Professional Role
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Impact of a clinical pharmacist-led, artificial intelligence-supported medication adherence program on medication adherence performance, chronic disease control measures, and cost savings.
Journal of the American Pharmacists Association : JAPhA
Oct 18, 2024
BACKGROUND: Chronic diseases are the leading cause of disability and death in the United States. Clinical pharmacists have been shown to optimize health outcomes and reduce health care expenditures in patients with chronic diseases through improving ...
Enhancing pharmacist intervention targeting based on patient clustering with unsupervised machine learning.
Expert review of pharmacoeconomics & outcomes research
Sep 23, 2024
OBJECTIVES: Adherence to the American Diabetes Association (ADA) Standards of Medical Care is low. This study aimed to assist pharmacists in identifying patients for diabetes control interventions using unsupervised machine learning.
Adult
Male
Middle Aged
Machine Learning
Female
Aged
Diabetes Mellitus
Age Factors
Cluster Analysis
Surveys and Questionnaires
United States
Hypoglycemic Agents
Humans
Professional Role
Pharmaceutical Services
Sex Factors
Diabetes Complications
Pharmacists
Unsupervised Machine Learning
Insurance, Health
Self Report
Development and evaluation of a model to identify publications on the clinical impact of pharmacist interventions.
Research in social & administrative pharmacy : RSAP
Sep 19, 2024
BACKGROUND: Pharmacists are increasingly involved in patient care. Pharmacy practice research helps them identify the most clinically meaningful interventions. However, the lack of a widely accepted controlled vocabulary in this field hinders the dis...
Advocating for population health: The role of public health practitioners in the age of artificial intelligence.
Canadian journal of public health = Revue canadienne de sante publique
Apr 16, 2024
Over the past decade, artificial intelligence (AI) has begun to transform Canadian organizations, driven by the promise of improved efficiency, better decision-making, and enhanced client experience. While AI holds great opportunities, there are also...
Evaluation of the Performance of Generative AI Large Language Models ChatGPT, Google Bard, and Microsoft Bing Chat in Supporting Evidence-Based Dentistry: Comparative Mixed Methods Study.
Journal of medical Internet research
Dec 28, 2023
BACKGROUND: The increasing application of generative artificial intelligence large language models (LLMs) in various fields, including dentistry, raises questions about their accuracy.
Dental Caries Detection and Classification in CBCT Images Using Deep Learning.
International dental journal
Nov 7, 2023
OBJECTIVES: This study aimed to investigate the accuracy of deep learning algorithms to diagnose tooth caries and classify the extension and location of dental caries in cone beam computed tomography (CBCT) images. To the best of our knowledge, this ...
Deep learning for the early identification of periodontitis: a retrospective, multicentre study.
Clinical radiology
Sep 5, 2023
AIM: To develop a deep-learning model to help general dental practitioners diagnose periodontitis accurately and at an early stage.
Implications of large language models such as ChatGPT for dental medicine.
Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.]
Apr 5, 2023
OBJECTIVE: This article provides an overview of the implications of ChatGPT and other large language models (LLMs) for dental medicine.
A two-stage deep learning architecture for radiographic staging of periodontal bone loss.
BMC oral health
Apr 1, 2022
BACKGROUND: Radiographic periodontal bone loss is one of the most important basis for periodontitis staging, with problems such as limited accuracy, inconsistency, and low efficiency in imaging diagnosis. Deep learning network may be a solution to im...
Needs for re-intervention on restored teeth in adults: a practice-based study.
Clinical oral investigations
Jul 24, 2021
OBJECTIVES: Evaluate the need for re-intervention on dental coronal restorations in adults seen in a network of general dental practitioners (ReCOL). MATERIALS AND METHODS: This observational, cross-sectional, multicenter study involved 40 practitio...
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