AIMC Topic: Retrospective Studies

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Factors Influencing Hearing Preservation in Cochlear Implant Patients: A Predictive Modelling Approach.

Studies in health technology and informatics
INTRODUCTION: Hearing loss, affecting over 19% of the global population, is a major disability worldwide, with its prevalence expected to increase due to demographic changes. Cochlear implants (CIs) provide a crucial treatment for severe to profound ...

Machine Learning for Detecting Iron Deficiency through Comprehensive Blood Analysis.

Clinical chemistry
BACKGROUND: Iron deficiency (ID) is a prevalent global health issue with a major impact on well-being. Early detection of ID is crucial but challenging due to its nonspecific symptoms and the limitations of traditional diagnostic tests, which are imp...

Investigating heterogeneous effects of an expanded methadone access policy with opioid treatment program retention: a Rhode Island population-based retrospective cohort study.

American journal of epidemiology
Following federal regulatory changes during the COVID-19 pandemic, Rhode Island expanded methadone access for opioid treatment programs (OTPs) in March 2020. The policy, which permitted take-home dosing for patients, contrasted with longstanding rest...

CervicalMethDx: A Precision DNA Methylation Test to Identify Risk of High-Grade Intraepithelial Lesions in Cervical Cancer Screening Algorithms.

Cancer prevention research (Philadelphia, Pa.)
UNLABELLED: Cervical cancer is one of the most common cancers in women. Despite progress in prevention and success in early detection through cytologic screening and human papillomavirus (HPV) detection, there remains a challenge in triaging women ap...

Development of a Machine Learning Model Integrating Pathomics and Clinical Data to Predict Axillary Lymph Node Metastasis in Breast Cancer: A Two-Center Study.

Cancer reports (Hoboken, N.J.)
BACKGROUND: Accurately assessing the status of axillary lymph nodes (ALNs) is essential for devising optimal surgical plans and making informed treatment decisions in breast cancer (BC) patients.

Longitudinal evaluation of workflow optimization in radiotherapy: A 4-year retrospective study.

Journal of applied clinical medical physics
BACKGROUND: Efficient workflows are essential for timely, high-quality radiotherapy. In 2020, an internal audit identified key workflow bottlenecks, including long patient wait times, suboptimal treatment planning, and inadequate quality control. Acc...

Artificial Intelligence Analysis of Chest Radiographs for Predicting Major Adverse Events in Patients Visiting the Emergency Department With Acute Cardiopulmonary Symptoms.

Korean journal of radiology
OBJECTIVE: In this study, we investigated whether artificial intelligence (AI) analysis of chest radiographs (CXRs) can predict major adverse clinical events in patients visiting the emergency department (ED) with acute cardiopulmonary symptoms.

Development of a Deep-Learning Model for Estimating Newborn Gestational Age via Lumbar Vertebral Segmentation on Plain Radiography.

Korean journal of radiology
OBJECTIVE: To develop a deep learning model for estimating newborn gestational age (GA) based on the shape of the lumbar vertebral bodies on cross-table lateral radiographs obtained on the first day after birth.

Improving Clinically Significant Prostate Cancer Detection with a Multimodal Machine Learning Approach: A Large-Scale Multicenter Study.

Radiology. Imaging cancer
Purpose To develop and prospectively validate a clinical and radiologic model to predict clinically significant prostate cancer (csPCa) using biparametric MRI (bpMRI). Materials and Methods Retrospective data (acquired before March 31, 2022) from 12 ...