AIMC Topic: Preoperative Period

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Predicting periprosthetic joint infection in primary total knee arthroplasty: a machine learning model integrating preoperative and perioperative risk factors.

BMC musculoskeletal disorders Mar 11, 2025
BACKGROUND: Periprosthetic joint infection leads to significant morbidity and mortality after total knee arthroplasty. Preoperative and perioperative risk prediction and assessment tools are lacking in Asia. This study developed the first machine lea...
Risk Assessment Arthroplasty, Replacement, Knee Preoperative Period Knee Prosthesis Prosthesis-Related Infections Risk Factors Aged Male Middle Aged Humans Machine Learning Retrospective Studies Female
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Automatic Segmentation of Bone Graft in Maxillary Sinus via Distance Constrained Network Guided by Prior Anatomical Knowledge.

IEEE journal of biomedical and health informatics Mar 6, 2025
Maxillary Sinus Lifting is a crucial surgical procedure for addressing insufficient alveolar bone mass andsevere resorption in dental implant therapy. To accurately analyze the geometry changesof the bone graft (BG) in the maxillary sinus (MS), it is...
Humans Deep Learning Image Processing, Computer-Assisted Maxillary Sinus Maxilla Alveolar Ridge Augmentation Artifacts Datasets as Topic Postoperative Period Preoperative Period
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Preoperative Maximum Standardized Uptake Value Emphasized in Explainable Machine Learning Model for Predicting the Risk of Recurrence in Resected Non-Small Cell Lung Cancer.

JCO clinical cancer informatics Mar 5, 2025
PURPOSE: To comprehensively analyze the association between preoperative maximum standardized uptake value (SUV) on 18F-fluorodeoxyglucose positron emission tomography-computed tomography and postoperative recurrence in resected non-small cell lung c...
Fluorodeoxyglucose F18 Preoperative Period Lung Neoplasms Carcinoma, Non-Small-Cell Lung Positron Emission Tomography Computed Tomography Neoplasm Recurrence, Local Humans Machine Learning Prognosis Retrospective Studies Female Aged Male Middle Aged ROC Curve
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Development and evaluation of USCnet: an AI-based model for preoperative prediction of infectious and non-infectious urolithiasis.

World journal of urology Feb 27, 2025
BACKGROUND: Urolithiasis, a prevalent condition characterized by a high rate of incidence and recurrence, necessitates accurate preoperative diagnostic methods to determine stone composition for effective clinical management. Current diagnostic pract...
Female Adult Male Middle Aged Predictive Value of Tests Preoperative Period Preoperative Care Urolithiasis Humans Artificial Intelligence Tomography, X-Ray Computed
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Preoperative clinical radiomics model based on deep learning in prognostic assessment of patients with gallbladder carcinoma.

BMC cancer Feb 25, 2025
OBJECTIVE: We aimed to develop a preoperative clinical radiomics survival prediction model based on the radiomics features via deep learning to provide a reference basis for preoperative assessment and treatment decisions for patients with gallbladde...
Humans Middle Aged Deep Learning Preoperative Period Preoperative Care Gallbladder Neoplasms Prognosis Aged Retrospective Studies Aged, 80 and over Tomography, X-Ray Computed Adult Female Radiomics Male
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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 ...
Retrospective Studies Electronic Health Records Female Aged Adult Humans Machine Learning Spinal Fusion Lumbar Vertebrae Anemia Patient Readmission Preoperative Period Male Middle Aged Risk Assessment Postoperative Complications Length of Stay
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Preoperative blood and CT-image nutritional indicators in short-term outcomes and machine learning survival framework of intrahepatic cholangiocarcinoma.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Jan 30, 2025
BACKGROUND&AIMS: Intrahepatic cholangiocarcinoma (iCCA) is aggressive with limited treatment and poor prognosis. Preoperative nutritional status assessment is crucial for predicting outcomes in patients. This study aimed to compare the predictive cap...
Humans Machine Learning Cholangiocarcinoma Subcutaneous Fat Postoperative Complications Neoplasm Recurrence, Local Bilirubin Hepatectomy Bile Duct Neoplasms Nutritional Status Aged Preoperative Period Prognosis Survival Rate Intra-Abdominal Fat Retrospective Studies Male Serum Albumin Tomography, X-Ray Computed Middle Aged Female Nutrition Assessment
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PSMA PET/CT based multimodal deep learning model for accurate prediction of pelvic lymph-node metastases in prostate cancer patients identified as candidates for extended pelvic lymph node dissection by preoperative nomograms.

European journal of nuclear medicine and molecular imaging Jan 27, 2025
PURPOSE: To develop and validate a prostate-specific membrane antigen (PSMA) PET/CT based multimodal deep learning model for predicting pathological lymph node invasion (LNI) in prostate cancer (PCa) patients identified as candidates for extended pel...
Lymph Node Excision Positron Emission Tomography Computed Tomography Humans Prostatic Neoplasms Antigens, Surface Middle Aged Aged Pelvis Glutamate Carboxypeptidase II Deep Learning Male Preoperative Period Nomograms Lymphatic Metastasis
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Ten Machine Learning Models for Predicting Preoperative and Postoperative Coagulopathy in Patients With Trauma: Multicenter Cohort Study.

Journal of medical Internet research Jan 22, 2025
BACKGROUND: Recent research has revealed the potential value of machine learning (ML) models in improving prognostic prediction for patients with trauma. ML can enhance predictions and identify which factors contribute the most to posttraumatic morta...
Preoperative Period Wounds and Injuries Middle Aged Postoperative Complications Female Cohort Studies Blood Coagulation Disorders Risk Factors Humans Aged Machine Learning Adult Male
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Predicting macular hole surgery outcomes: Integrating preoperative OCT features with supervised machine learning statistical models.

Indian journal of ophthalmology Dec 24, 2024
PURPOSE: To evaluate various supervised machine learning (ML) statistical models to predict anatomical outcomes after macular hole (MH) surgery using preoperative optical coherence tomography (OCT) features.
Visual Acuity Male Humans Vitrectomy Middle Aged Retrospective Studies Tomography, Optical Coherence Retinal Perforations Treatment Outcome Supervised Machine Learning Female Follow-Up Studies Preoperative Period Aged Models, Statistical
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