AIMC Topic: Preoperative Period

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Preoperative evaluation of visceral pleural invasion in peripheral lung cancer utilizing deep learning technology.

Surgery today May 23, 2024
PURPOSE: This study aimed to assess the efficiency of artificial intelligence (AI) in the detection of visceral pleural invasion (VPI) of lung cancer using high-resolution computed tomography (HRCT) images, which is challenging for experts because of...
Humans Artificial Intelligence Retrospective Studies Adult Sensitivity and Specificity Male Middle Aged Deep Learning Tomography, X-Ray Computed Female Aged Aged, 80 and over Pleural Neoplasms Preoperative Period Pleura Lung Neoplasms Carcinoma, Non-Small-Cell Lung Neoplasm Invasiveness Neoplasm Staging
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Turn Your Vision into Reality-AI-Powered Pre-operative Outcome Simulation in Rhinoplasty Surgery.

Aesthetic plastic surgery May 22, 2024
BACKGROUND: The increasing demand and changing trends in rhinoplasty surgery emphasize the need for effective doctor-patient communication, for which Artificial Intelligence (AI) could be a valuable tool in managing patient expectations during pre-op...
Female Rhinoplasty Young Adult Adult Male Treatment Outcome Physician-Patient Relations Preoperative Period Preoperative Care Humans Photography Artificial Intelligence
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Preoperative prediction model for risk of readmission after total joint replacement surgery: a random forest approach leveraging NLP and unfairness mitigation for improved patient care and cost-effectiveness.

Journal of orthopaedic surgery and research May 10, 2024
BACKGROUND: The Center for Medicare and Medicaid Services (CMS) imposes payment penalties for readmissions following total joint replacement surgeries. This study focuses on total hip, knee, and shoulder arthroplasty procedures as they account for mo...
Aged Aged, 80 and over Male Middle Aged Risk Assessment Humans Machine Learning Female Quality Improvement Arthroplasty, Replacement, Knee Arthroplasty, Replacement, Hip Preoperative Period Arthroplasty, Replacement Natural Language Processing Random Forest Cost-Benefit Analysis Patient Readmission
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Deep Learning for prediction of late recurrence of retinal detachment using preoperative and postoperative ultra-wide field imaging.

Acta ophthalmologica Apr 29, 2024
PURPOSE: To elaborate a deep learning (DL) model for automatic prediction of late recurrence (LR) of rhegmatogenous retinal detachment (RRD) using pseudocolor and fundus autofluorescence (AF) ultra-wide field (UWF) images obtained preoperatively and ...
Retinal Detachment Scleral Buckling Preoperative Period Recurrence Fluorescein Angiography Vitrectomy Aged Adult Male Middle Aged Deep Learning Follow-Up Studies Visual Acuity Predictive Value of Tests Postoperative Period Humans Retrospective Studies Female
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A computed tomography urography-based machine learning model for predicting preoperative pathological grade of upper urinary tract urothelial carcinoma.

Cancer medicine Jan 4, 2024
OBJECTIVES: Development and validation of a computed tomography urography (CTU)-based machine learning (ML) model for prediction of preoperative pathology grade of upper urinary tract urothelial carcinoma (UTUC).
Machine Learning Urography Algorithms Urologic Neoplasms Retrospective Studies Neoplasm Grading Humans Tomography, X-Ray Computed Carcinoma, Transitional Cell Female Preoperative Period Aged Male Middle Aged ROC Curve
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Development of an MRI-Based Comprehensive Model Fusing Clinical, Radiomics and Deep Learning Models for Preoperative Histological Stratification in Intracranial Solitary Fibrous Tumor.

Journal of magnetic resonance imaging : JMRI Oct 28, 2023
BACKGROUND: Accurate preoperative histological stratification (HS) of intracranial solitary fibrous tumors (ISFTs) can help predict patient outcomes and develop personalized treatment plans. However, the role of a comprehensive model based on clinica...
Humans Retrospective Studies Female Aged Young Adult Adult Radiomics Brain Neoplasms Magnetic Resonance Imaging Male Feasibility Studies Middle Aged Preoperative Period Deep Learning Solitary Fibrous Tumors ROC Curve
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Utility of a novel integrated deep convolutional neural network for the segmentation of hip joint from computed tomography images in the preoperative planning of total hip arthroplasty.

Journal of orthopaedic surgery and research Mar 15, 2022
PURPOSE: Preoperative three-dimensional planning is important for total hip arthroplasty. To simulate the placement of joint implants on computed tomography (CT), pelvis and femur must be segmented. Accurate and rapid segmentation of the hip joint is...
Preoperative Period Middle Aged Pelvis Hip Joint Female Arthroplasty, Replacement, Hip Aged Humans Aged, 80 and over Neural Networks, Computer Male Tomography, X-Ray Computed
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Postoperative delirium prediction using machine learning models and preoperative electronic health record data.

BMC anesthesiology Jan 3, 2022
BACKGROUND: Accurate, pragmatic risk stratification for postoperative delirium (POD) is necessary to target preventative resources toward high-risk patients. Machine learning (ML) offers a novel approach to leveraging electronic health record (EHR) d...
Electronic Health Records Female Reproducibility of Results Aged Male Delirium Humans Middle Aged Preoperative Period Machine Learning Postoperative Complications Retrospective Studies Cohort Studies Predictive Value of Tests
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Machine learning-based preoperative datamining can predict the therapeutic outcome of sleep surgery in OSA subjects.

Scientific reports Jul 21, 2021
Increasing recognition of anatomical obstruction has resulted in a large variety of sleep surgeries to improve anatomic collapse of obstructive sleep apnea (OSA) and the prediction of whether sleep surgery will have successful outcome is very importa...
Oropharynx Female Adult Humans Logistic Models Male Machine Learning Treatment Outcome Middle Aged Sleep Apnea, Obstructive Preoperative Period Otorhinolaryngologic Surgical Procedures
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Artificial intelligence-based radiomics models in endometrial cancer: A systematic review.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Jun 24, 2021
BACKGROUND: Radiological preoperative assessment of endometrial cancer (EC) is in some cases not precise enough and its performances improvement could lead to a clinical benefit. Radiomics is a recent field of application of artificial intelligence (...
Endometrial Neoplasms Humans Preoperative Period Artificial Intelligence Female Neoplasm Staging
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