Postoperative Period

VAULT: vault accuracy using deep learning technology: new image-based artificial intelligence model for predicting implantable collamer lens postoperative vault.

Journal of cataract and refractive surgery May 1, 2024

PURPOSE: To develop an accurate deep learning model to predict postoperative vault of phakic implantable collamer lenses (ICLs).

Retrospective Studies Female Young Adult Adult Humans Neural Networks, Computer Artificial Intelligence Visual Acuity Postoperative Period Lens Implantation, Intraocular Phakic Intraocular Lenses Male Middle Aged Myopia Deep Learning

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[Research progress and prospects of artificial intelligence in diagnosis and treatment of colorectal cancer].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery Jan 25, 2024

Colorectal cancer is one of the most common malignant tumors worldwide. Due to the heterogeneity in patient outcomes and treatment responses to standard therapy regimens, personalized diagnostic and therapeutic strategies have remained a focus of sus...

Postoperative Period Humans Artificial Intelligence Prospective Studies Colorectal Neoplasms

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[Deep Learning-Based Identification of Common Complication Features of Surgical Incisions].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition Sep 1, 2023

OBJECTIVE: In recent years, due to the development of accelerated recovery after surgery and day surgery in the field of surgery, the average length-of-stay of patients has been shortened and patients stay at home for post-surgical recovery and heali...

Anxiety Disorders Deep Learning Humans Surgical Wound Anxiety Postoperative Period

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[Deep Learning-based Risk Prediction Model for Postoperative Healthcare-associated Infections].

Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae Feb 1, 2022

Objective To develop a risk prediction model combining pre/intraoperative risk factors and intraoperative vital signs for postoperative healthcare-associated infection(HAI)based on deep learning. Methods We carried out a retrospective study based on ...

Retrospective Studies Deep Learning Cross Infection Postoperative Period Humans Delivery of Health Care

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International Validation of the SORG Machine-learning Algorithm for Predicting the Survival of Patients with Extremity Metastases Undergoing Surgical Treatment.

Clinical orthopaedics and related research Feb 1, 2022

BACKGROUND: The Skeletal Oncology Research Group machine-learning algorithms (SORG-MLAs) estimate 90-day and 1-year survival in patients with long-bone metastases undergoing surgical treatment and have demonstrated good discriminatory ability on inte...

Aged Aged, 80 and over Adult Male Humans Machine Learning Prognosis Female Postoperative Period Extremities Middle Aged Bone Neoplasms Taiwan Predictive Value of Tests

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Predicting the Aortic Aneurysm Postoperative Risks Based on Russian Integrated Data.

Studies in health technology and informatics Oct 27, 2021

This article describes the results of feature extraction from unstructured medical records and prediction of postoperative complications for patients with thoracic aortic aneurysm operations using machine learning algorithms. The datasets from two di...

Aortic Aneurysm, Thoracic Russia Humans Machine Learning Algorithms Risk Factors Postoperative Complications Postoperative Period

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Turning Back the Clock: Artificial Intelligence Recognition of Age Reduction after Face-Lift Surgery Correlates with Patient Satisfaction.

Plastic and reconstructive surgery Jul 1, 2021

BACKGROUND: Patients desire face-lifting procedures primarily to appear younger, more refreshed, and attractive. Because there are few objective studies assessing the success of face-lift surgery, the authors used artificial intelligence, in the form...

Rejuvenation Rhytidoplasty Follow-Up Studies Automated Facial Recognition Feasibility Studies Face Female Patient Reported Outcome Measures Postoperative Period Reproducibility of Results Patient Satisfaction Quality of Life Preoperative Period Humans Aged Deep Learning Middle Aged Image Processing, Computer-Assisted Treatment Outcome

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Development of Machine Learning Models for Predicting Postoperative Delayed Remission in Patients With Cushing's Disease.

The Journal of clinical endocrinology and metabolism Jan 1, 2021

CONTEXT: Postoperative hypercortisolemia mandates further therapy in patients with Cushing's disease (CD). Delayed remission (DR) is defined as not achieving postoperative immediate remission (IR), but having spontaneous remission during long-term fo...

Young Adult Adult Male Middle Aged China Time Factors Treatment Outcome Follow-Up Studies Postoperative Period Prognosis Models, Statistical Humans Pituitary ACTH Hypersecretion Adenoma Machine Learning ACTH-Secreting Pituitary Adenoma Retrospective Studies Neurosurgical Procedures Algorithms Female Remission Induction Computer Simulation Reproducibility of Results

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Feasibility of machine learning based predictive modelling of postoperative hyponatremia after pituitary surgery.

Pituitary Oct 1, 2020

PURPOSE: Hyponatremia after pituitary surgery is a frequent finding with potential severe complications and the most common cause for readmission. Several studies have found parameters associated with postoperative hyponatremia, but no reliable speci...

Humans Machine Learning Retrospective Studies Female Feasibility Studies Postoperative Period Pituitary Gland Pituitary Diseases Aged Adult Male Middle Aged

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Machine Learning for Predictive Modeling of 90-day Readmission, Major Medical Complication, and Discharge to a Facility in Patients Undergoing Long Segment Posterior Lumbar Spine Fusion.

Spine Aug 15, 2020

STUDY DESIGN: Retrospective case control study.

Lumbar Vertebrae Patient Discharge Patient Readmission Postoperative Period Adult Comorbidity Humans Male Retrospective Studies Case-Control Studies Machine Learning Middle Aged Female Inpatients Databases, Factual Postoperative Complications Risk Factors Spinal Fusion Aged

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AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

VAULT: vault accuracy using deep learning technology: new image-based artificial intelligence model for predicting implantable collamer lens postoperative vault.

[Research progress and prospects of artificial intelligence in diagnosis and treatment of colorectal cancer].

[Deep Learning-Based Identification of Common Complication Features of Surgical Incisions].

[Deep Learning-based Risk Prediction Model for Postoperative Healthcare-associated Infections].

International Validation of the SORG Machine-learning Algorithm for Predicting the Survival of Patients with Extremity Metastases Undergoing Surgical Treatment.

Predicting the Aortic Aneurysm Postoperative Risks Based on Russian Integrated Data.

Turning Back the Clock: Artificial Intelligence Recognition of Age Reduction after Face-Lift Surgery Correlates with Patient Satisfaction.

Development of Machine Learning Models for Predicting Postoperative Delayed Remission in Patients With Cushing's Disease.

Feasibility of machine learning based predictive modelling of postoperative hyponatremia after pituitary surgery.

Machine Learning for Predictive Modeling of 90-day Readmission, Major Medical Complication, and Discharge to a Facility in Patients Undergoing Long Segment Posterior Lumbar Spine Fusion.

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