AIMC Topic: Retrospective Studies

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Development of clinical decision support for patients older than 65 years with fall-related TBI using artificial intelligence modeling.

PloS one Feb 3, 2025
BACKGROUND: Older persons comprise most traumatic brain injury (TBI)-related hospitalizations and deaths and are particularly susceptible to fall-induced TBIs. The combination of increased frailty and susceptibility to clinical decline creates a sign...
Decision Support Systems, Clinical Aged Glasgow Coma Scale Aged, 80 and over Brain Injuries, Traumatic Humans Male Decision Trees Artificial Intelligence Accidental Falls Patient Discharge Retrospective Studies Female
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Conventional and machine learning-based analysis of age, body weight and body height significance in knot position-related thyrohyoid and cervical spine fractures in suicidal hangings.

International journal of legal medicine Feb 1, 2025
The thyrohyoid complex and cervical spine fracture distribution patterns may reflect the knot position as the force distribution by the noose to different neck regions may vary depending on it. Recently, machine learning models (MLm) were used to cla...
Humans Machine Learning Retrospective Studies Body Weight Female Body Height Aged Spinal Fractures Asphyxia Neck Injuries Hyoid Bone Middle Aged Thyroid Cartilage Aged, 80 and over Adolescent Suicide, Completed Young Adult Age Factors Adult Cervical Vertebrae Male
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A comparative analysis of trauma-related mortality in South Korea using classification models.

International journal of medical informatics Feb 1, 2025
BACKGROUND: Reducing mortality among severe trauma patients requires the establishment of an effective emergency transportation system and the rapid transfer of patients to appropriate medical facilities. Machine learning offers significant potential...
Emergency Medical Services Injury Severity Score Wounds and Injuries Aged Adult Male Middle Aged Machine Learning Retrospective Studies Republic of Korea Female Humans
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Deep learning for automated hip fracture detection and classification : achieving superior accuracy.

The bone & joint journal Feb 1, 2025
AIMS: The aim of this study was to develop and evaluate a deep learning-based model for classification of hip fractures to enhance diagnostic accuracy.
Deep Learning Radiography Hip Fractures Aged Aged, 80 and over Sensitivity and Specificity Male Humans Neural Networks, Computer Retrospective Studies Female
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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...
Deep Learning Neoplasm Recurrence, Local Gastrectomy Aged Stomach Neoplasms Male Middle Aged Humans Prognosis Retrospective Studies Tomography, X-Ray Computed Female
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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...
Patient Discharge Spinal Cord Injuries Male Middle Aged Recovery of Function Internet Humans Machine Learning Prognosis Retrospective Studies Female Aged Adult
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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.
Humans Prospective Studies Adult Male Middle Aged Prognosis Spinal Neoplasms Retrospective Studies Female Aged
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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...
Humans Clinical Decision-Making Female Young Adult Adult Neural Networks, Computer Machine Learning Algorithms Retrospective Studies Open Bite Male Support Vector Machine Adolescent Cephalometry Child Tooth Extraction Treatment Outcome 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...
Male Middle Aged Length of Stay Linear Models Machine Learning Retrospective Studies Female Aged Humans Neural Networks, Computer Colectomy Artificial Intelligence
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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...
Humans Image Processing, Computer-Assisted Neural Networks, Computer Head and Neck Neoplasms Retrospective Studies Radiotherapy Planning, Computer-Assisted
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