AIMC Topic: Retrospective Studies

Clear Filters Showing 5351 to 5360 of 9989 articles

Development and validation of multivariable machine learning algorithms to predict risk of cancer in symptomatic patients referred urgently from primary care: a diagnostic accuracy study.

BMJ open Apr 1, 2022
OBJECTIVES: To develop and validate tests to assess the risk of any cancer for patients referred to the NHS Urgent Suspected Cancer (2-week wait, 2WW) clinical pathways.
Humans Machine Learning Algorithms Neoplasms Primary Health Care Referral and Consultation Retrospective Studies Adult Middle Aged
View on PubMed DOI

Factors associated with COVID-19 lethality in a hospital in the Cajamarca region in Peru.

Revista peruana de medicina experimental y salud publica Apr 1, 2022
OBJECTIVE.: To identify the clinical and epidemiological characteristics related to lethality in patients hospitalized for COVID-19 at the Simón Bolívar Hospital in Cajamarca, during June-August 2020.
Retrospective Studies Hospitalization Hospitals Ivermectin Humans SARS-CoV-2 Hospital Mortality Aged Peru COVID-19 Risk Factors COVID-19 Testing Middle Aged
View on PubMed DOI

Artificial intelligence-based detection of atrial fibrillation from chest radiographs.

European radiology Mar 31, 2022
OBJECTIVE: The purpose of this study was to develop an artificial intelligence (AI)-based model to detect features of atrial fibrillation (AF) on chest radiographs.
Deep Learning Humans Radiography Artificial Intelligence Atrial Fibrillation Retrospective Studies Radiography, Thoracic Aged, 80 and over Male Female Middle Aged Aged
View on PubMed DOI

Deep learning derived automated ASPECTS on non-contrast CT scans of acute ischemic stroke patients.

Human brain mapping Mar 31, 2022
Ischemic stroke is the most common type of stroke, ranked as the second leading cause of death worldwide. The Alberta Stroke Program Early CT Score (ASPECTS) is considered as a systematic method of assessing ischemic change on non-contrast CT scans (...
Humans Retrospective Studies Stroke Brain Ischemia Tomography, X-Ray Computed Alberta Deep Learning Ischemic Stroke
View on PubMed DOI

Deep learning for locally advanced nasopharyngeal carcinoma prognostication based on pre- and post-treatment MRI.

Computer methods and programs in biomedicine Mar 31, 2022
PURPOSE: We aimed to predict the prognosis of advanced nasopharyngeal carcinoma (stage Ⅲ-Ⅳa) using Pre- and Post-treatment MR images based on deep learning (DL).
Humans Magnetic Resonance Imaging Retrospective Studies Nasopharyngeal Carcinoma Deep Learning Nasopharyngeal Neoplasms
View on PubMed DOI

Validation of standardized training system for robot-assisted radical prostatectomy: comparison of perioperative and surgical outcomes between experienced surgeons and novice surgeons at a low-volume institute in Japan.

Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy Mar 30, 2022
INTRODUCTION: Although robot-assisted radical prostatectomy (RARP) has become a standard treatment modality in patients with prostate cancer (PCa), RARP is a complicated and difficult surgical procedure due to the risk of serious surgery-related comp...
Robotics Prostatic Neoplasms Robotic Surgical Procedures Japan Prostatectomy Male Surgeons Treatment Outcome Humans Retrospective Studies
View on PubMed DOI

Detecting the presence of supernumerary teeth during the early mixed dentition stage using deep learning algorithms: A pilot study.

International journal of paediatric dentistry Mar 30, 2022
BACKGROUND: Supernumerary teeth are a common anomaly and are frequently observed in paediatric patients. To prevent or minimize complications, early diagnosis and treatment is ideal in children with supernumerary teeth.
Humans Deep Learning Algorithms Pilot Projects ROC Curve Retrospective Studies Child Tooth, Supernumerary Dentition, Mixed
View on PubMed DOI

Heart and bladder detection and segmentation on FDG PET/CT by deep learning.

BMC medical imaging Mar 30, 2022
PURPOSE: Positron emission tomography (PET)/ computed tomography (CT) has been extensively used to quantify metabolically active tumors in various oncology indications. However, FDG-PET/CT often encounters false positives in tumor detection due to fl...
Humans Retrospective Studies Deep Learning Positron Emission Tomography Computed Tomography Fluorodeoxyglucose F18 Urinary Bladder
View on PubMed DOI

Automatic Prediction of Conductive Hearing Loss Using Video Pneumatic Otoscopy and Deep Learning Algorithm.

Ear and hearing Mar 29, 2022
OBJECTIVES: Diseases of the middle ear can interfere with normal sound transmission, which results in conductive hearing loss. Since video pneumatic otoscopy (VPO) findings reveal not only the presence of middle ear effusions but also dynamic movemen...
Adult Deep Learning Otitis Media with Effusion Humans Retrospective Studies Otoscopy Otosclerosis Hearing Loss, Conductive Audiometry, Pure-Tone Otitis Media
View on PubMed DOI

Deep learning for prediction of hepatocellular carcinoma recurrence after resection or liver transplantation: a discovery and validation study.

Hepatology international Mar 29, 2022
BACKGROUND: There is a growing need for new improved classifiers of prognosis in hepatocellular carcinoma (HCC) patients to stratify them effectively.
Liver Neoplasms Carcinoma, Hepatocellular Neoplasm Recurrence, Local Prognosis Retrospective Studies Deep Learning Liver Transplantation Humans
View on PubMed DOI
Popular Topics
Recent Journals