AIMC Topic: Retrospective Studies

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Predicting early recurrence in locally advanced gastric cancer after gastrectomy using CT-based deep learning model: a multicenter study.

International journal of surgery (London, England) Feb 1, 2025
BACKGROUND: Early recurrence in patients with locally advanced gastric cancer (LAGC) portends aggressive biological characteristics and a dismal prognosis. Predicting early recurrence may help determine treatment strategies for LAGC. The goal is to d...
Middle Aged Female Humans Deep Learning Neoplasm Recurrence, Local Gastrectomy Prognosis Retrospective Studies Tomography, X-Ray Computed Aged Stomach Neoplasms Male
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Automated measurement of pelvic parameters using convolutional neural network in complex spinal deformities: overcoming challenges in coronal deformity cases.

The spine journal : official journal of the North American Spine Society Jan 31, 2025
BACKGROUND CONTEXT: Accurate and consistent measurement of sagittal alignment is challenging, particularly in patients with severe coronal deformities, including degenerative lumbar scoliosis (DLS).
Retrospective Studies Female Aged Adult Humans Neural Networks, Computer Radiography Pelvis Lumbar Vertebrae Scoliosis Lordosis Male Middle Aged Convolutional Neural Networks Pelvic Bones Spinal Curvatures
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Development of a machine learning model and a web application for predicting neurological outcome at hospital discharge in spinal cord injury patients.

The spine journal : official journal of the North American Spine Society Jan 31, 2025
BACKGROUND: Spinal cord injury (SCI) is a devastating condition with profound physical, psychological, and socioeconomic consequences. Despite advances in SCI treatment, accurately predicting functional recovery remains a significant challenge. Conve...
Spinal Cord Injuries Middle Aged Recovery of Function Internet Patient Discharge Female Aged Adult Male Machine Learning Prognosis Humans Retrospective Studies
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External validation of 12 existing survival prediction models for patients with spinal metastases.

The spine journal : official journal of the North American Spine Society Jan 31, 2025
BACKGROUND CONTEXT: Survival prediction models for patients with spinal metastases may inform patients and clinicians in shared decision-making.
Middle Aged Spinal Neoplasms Humans Prospective Studies Prognosis Aged Adult Male Retrospective Studies Female
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Integrating machine learning for treatment decisions in anterior open bite orthodontic cases: A retrospective study.

Journal of the World federation of orthodontists Jan 31, 2025
INTRODUCTION: This article explores the integration of machine learning (ML) algorithms to aid in treatment planning and extraction decisions for anterior open bite cases, leveraging demographic, clinical, and radiographic data to predict treatment o...
Machine Learning Algorithms Retrospective Studies Humans Neural Networks, Computer Support Vector Machine Male Cephalometry Clinical Decision-Making Open Bite Adolescent Female Child Young Adult Treatment Outcome Adult Tooth Extraction Patient Care Planning
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A novel artificial intelligence framework to quantify the impact of clinical compared with nonclinical influences on postoperative length of stay.

Surgery Jan 31, 2025
BACKGROUND: The relative proportion of clinical compared with nonclinical influences on length of stay after colectomy has never been measured. We developed a novel machine-learning framework that quantifies the proportion of length of stay after col...
Female Aged Male Middle Aged Humans Neural Networks, Computer Artificial Intelligence Machine Learning Length of Stay Retrospective Studies Linear Models Colectomy
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TransAnaNet: Transformer-based anatomy change prediction network for head and neck cancer radiotherapy.

Medical physics Jan 31, 2025
BACKGROUND: Adaptive radiotherapy (ART) can compensate for the dosimetric impact of anatomic change during radiotherapy of head-neck cancer (HNC) patients. However, implementing ART universally poses challenges in clinical workflow and resource alloc...
Neural Networks, Computer Humans Retrospective Studies Image Processing, Computer-Assisted Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted
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The potential use of deep learning in performing autocorrection of setup errors in patients receiving radiotherapy.

Radiography (London, England : 1995) Jan 31, 2025
INTRODUCTION: Modern radiotherapy practice relies on multiple approaches for verification of patient positioning. All of these techniques require experienced radiotherapists who understand the anatomical landmarks and the limitations of the used veri...
Middle Aged Deep Learning Aged Humans Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted Adult Neural Networks, Computer Feasibility Studies Brain Neoplasms Patient Positioning Retrospective Studies Male Radiotherapy Setup Errors Female
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The Correlation Between Gender, Age, Curvature, and Symptom-related Changes in C6 and C7 Slope in 10,000 Subjects.

Spine Jan 30, 2025
STUDY DESIGN: A cross-sectional analysis of 10,000 cervical spine X-rays.
Female Aged Aged, 80 and over Young Adult Humans Machine Learning Retrospective Studies Adolescent Age Factors Cervical Vertebrae Sex Factors Adult Spinal Curvatures Cross-Sectional Studies Male Middle Aged
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Preoperative anemia is an unsuspecting driver of machine learning prediction of adverse outcomes after lumbar spinal fusion.

The spine journal : official journal of the North American Spine Society Jan 30, 2025
BACKGROUND CONTEXT: Preoperative risk assessment remains a challenge in spinal fusion operations. Predictive modeling provides data-driven estimates of postsurgical outcomes, guiding clinical decisions and improving patient care. Moreover, automated ...
Preoperative Period Male Electronic Health Records Length of Stay Lumbar Vertebrae Humans Middle Aged Female Spinal Fusion Anemia Machine Learning Risk Assessment Aged Patient Readmission Adult Retrospective Studies Postoperative Complications
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