AIMC Topic: Practice Patterns, Physicians'
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Implementing Machine Learning in Radiology Practice and Research.
AJR. American journal of roentgenology
Jan 26, 2017
OBJECTIVE: The purposes of this article are to describe concepts that radiologists should understand to evaluate machine learning projects, including common algorithms, supervised as opposed to unsupervised techniques, statistical pitfalls, and data ...
Duration of Androgen Deprivation Therapy for High-Risk Prostate Cancer: Application of Randomized Trial Data in a Tertiary Referral Cancer Center.
Clinical genitourinary cancer
Dec 17, 2015
INTRODUCTION: We evaluated the incidence and predictors of the use of long-term (2-3 years) versus shorter term androgen deprivation therapy (ADT) in radiation-managed men with high-risk prostate cancer.
Chronic Pain Prevalence, Opioid Use, and Primary Care Provider Opioid Prescription Patterns in the U.S. from 2017 to 2019 Derived from Medicaid Claims Data.
Studies in health technology and informatics
Aug 7, 2025
Chronic non-cancer pain (CNCP) is a major health concern in the United States, incurring substantial healthcare costs and frequently requiring opioid therapy in primary care. This retrospective cross-sectional study used Medicaid claims data from six...
Data-Driven Analysis of Short- and Long-Term Outcomes of Simulation, Nasal Hump Reduction, and Rasping in Open Rhinoplasty for Nasal Dorsum Correction.
Ear, nose, & throat journal
Aug 1, 2025
PURPOSE: This study aims to highlight the significance of performing simulations, nasal hump reduction, and rasping in open-technique rhinoplasty for the nasal dorsum. The research utilizes data science methodologies for a thorough examination of the...
Patterns in GP appointment systems: a cluster analysis of 3480 English practices.
The British journal of general practice : the journal of the Royal College of General Practitioners
Aug 1, 2025
BACKGROUND: In response to increasing demand for appointments, UK general practices have adopted a range of appointment systems. These systems vary widely in implementation. These changes have not yet been clearly described.
Head-down tilt lithotomy position and well-leg compartment syndrome: An international survey of current practice.
Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland
Jun 1, 2025
AIM: Well-leg compartment syndrome (WLCS) is a serious complication of prolonged surgery in the head-down tilt lithotomy (HDTL) position associated with increased postoperative morbidity and mortality. However, there is a lack of awareness and clinic...
Combining Machine Learning and Comparative Effectiveness Methodology to Study Primary Care Pharmacotherapy Pathways for Veterans With Depression.
Medical care
Jun 1, 2025
OBJECTIVES: To demonstrate an innovative method combining machine learning with comparative effectiveness research techniques and to investigate a hitherto unstudied question about the effectiveness of common prescribing patterns.
GP or ChatGPT? Ability of large language models (LLMs) to support general practitioners when prescribing antibiotics.
The Journal of antimicrobial chemotherapy
May 2, 2025
INTRODUCTION: Large language models (LLMs) are becoming ubiquitous and widely implemented. LLMs could also be used for diagnosis and treatment. National antibiotic prescribing guidelines are customized and informed by local laboratory data on antimic...
The Evolving Landscape of Primary Healthcare: Exploring AI Readiness of the Dutch General Practitioners.
Studies in health technology and informatics
Apr 8, 2025
This study explores the readiness of Dutch general practitioners (GPs) to adopt artificial intelligence (AI) technologies in primary healthcare (PHC) using an expanded Technology Acceptance Model (TAM). The model assesses perceived usefulness (PU), p...
Identifying high-dose opioid prescription risks using machine learning: A focus on sociodemographic characteristics.
Journal of opioid management
Jan 1, 2025
OBJECTIVE: The objective of this study was to leverage machine learning techniques to analyze administrative claims and socioeconomic data, with the aim of identifying and interpreting the risk factors associated with high-dose opioid prescribing.
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