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 ...
Machine Learning Algorithms Reproducibility of Results Humans Image Interpretation, Computer-Assisted Sensitivity and Specificity Pattern Recognition, Automated Biomedical Research United States Radiology Practice Patterns, Physicians' Image Enhancement
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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.
Humans Male Treatment Outcome Tertiary Care Centers Androgen Antagonists Practice Patterns, Physicians' Drug Administration Schedule Regression Analysis Prostatic Neoplasms Prostate-Specific Antigen Neoplasm Grading
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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...
Humans Female Practice Patterns, Physicians' Head-Down Tilt Patient Positioning Adult Leg Male Compartment Syndromes Postoperative Complications Surveys and Questionnaires
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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.
Humans Machine Learning Female Adult Antidepressive Agents Comparative Effectiveness Research Selective Serotonin Reuptake Inhibitors United States Practice Patterns, Physicians' United States Department of Veterans Affairs Veterans Male Middle Aged Depressive Disorder, Major Primary Health Care
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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...
Practice Patterns, Physicians' Drug Prescriptions Norway General Practitioners Humans Large Language Models Male Middle Aged Generative Artificial Intelligence United Kingdom Anti-Bacterial Agents Language Female Adult
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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...
Practice Patterns, Physicians' General Practitioners Attitude to Computers Surveys and Questionnaires Attitude of Health Personnel Primary Health Care Netherlands Humans Adult Male Middle Aged Artificial Intelligence Female
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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.
United States Socioeconomic Factors Age Factors Analgesics, Opioid Adult Male Middle Aged Risk Assessment Medicaid Sex Factors Sociodemographic Factors Practice Patterns, Physicians' Drug Prescriptions Humans Risk Factors Aged Young Adult Machine Learning Female
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Automated Evaluation of Antibiotic Prescribing Guideline Concordance in Pediatric Sinusitis Clinical Notes.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2025
BACKGROUND: Ensuring antibiotics are prescribed only when necessary is crucial for maintaining their effectiveness and is a key focus of public health initiatives worldwide. In cases of sinusitis, among the most common reasons for antibiotic prescrip...
Natural Language Processing Practice Guidelines as Topic Practice Patterns, Physicians' Child Guideline Adherence Computational Biology Sinusitis Humans Anti-Bacterial Agents Electronic Health Records Child, Preschool
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Using Supervised Learning Methods to Develop a List of Prescription Medications of Greatest Concern during Pregnancy.

Maternal and child health journal Jul 1, 2020
INTRODUCTION: Women and healthcare providers lack adequate information on medication safety during pregnancy. While resources describing fetal risk are available, information is provided in multiple locations, often with subjective assessments of ava...
Pregnancy Female Adult Supervised Machine Learning Humans Practice Patterns, Physicians' Pregnancy Complications Databases, Pharmaceutical Drug Labeling Prescription Drugs
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Sodium glucose co-transporter 2 inhibitors and cardiovascular event protections: how applicable are clinical trials and observational studies to real-world patients?

BMJ open diabetes research & care Dec 1, 2019
OBJECTIVE: This study evaluated the characteristics of new users of sodium glucose co-transporter 2 inhibitors (SGLT2i) in clinical practice to assess the applicability of the findings from clinical trials (Empagliflozin, Cardiovascular Outcomes and ...
Sodium-Glucose Transporter 2 Inhibitors Bridged Bicyclo Compounds, Heterocyclic Canagliflozin Clinical Trials as Topic Diabetic Angiopathies Middle Aged Blood Glucose Cohort Studies Aged, 80 and over Diabetes Mellitus, Type 2 Humans Adult Glucosides Observational Studies as Topic Retrospective Studies Male Benzhydryl Compounds Glycated Hemoglobin Female Practice Patterns, Physicians' Aged Cardiovascular Diseases
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