AIMC Topic: Middle Aged

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A multi-label transformer-based deep learning approach to predict focal visual field progression.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Feb 9, 2024
PURPOSE: Tracking functional changes in visual fields (VFs) through standard automated perimetry remains a clinical standard for glaucoma diagnosis. This study aims to develop and evaluate a deep learning (DL) model to predict regional VF progression...
Optic Disk Visual Fields Visual Field Tests Disease Progression Deep Learning ROC Curve Humans Follow-Up Studies Female Aged Male Middle Aged Glaucoma Retrospective Studies
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Inconsistency between Human Observation and Deep Learning Models: Assessing Validity of Postmortem Computed Tomography Diagnosis of Drowning.

Journal of imaging informatics in medicine Feb 9, 2024
Drowning diagnosis is a complicated process in the autopsy, even with the assistance of autopsy imaging and the on-site information from where the body was found. Previous studies have developed well-performed deep learning (DL) models for drowning d...
Adult Postmortem Imaging Reproducibility of Results Humans Male Adolescent ROC Curve Aged Retrospective Studies Middle Aged Child Aged, 80 and over Autopsy Tomography, X-Ray Computed Deep Learning Young Adult Female Drowning
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Spine surgeon versus AI algorithm full-length radiographic measurements: a validation study of complex adult spinal deformity patients.

Spine deformity Feb 9, 2024
INTRODUCTION: Spinal measurements play an integral role in surgical planning for a variety of spine procedures. Full-length imaging eliminates distortions that can occur with stitched images. However, these images take radiologists significantly long...
Female Reproducibility of Results Adult Male Humans Lordosis Middle Aged Artificial Intelligence Spinal Curvatures Radiography Algorithms Spine Observer Variation
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Machine learning-based prediction of hip joint moment in healthy subjects, patients and post-operative subjects.

Computer methods in biomechanics and biomedical engineering Feb 8, 2024
The application of machine learning in the field of motion capture research is growing rapidly. The purpose of the study is to implement a long-short term memory (LSTM) model able to predict sagittal plane hip joint moment (HJM) across three distinct...
Biomechanical Phenomena Male Middle Aged Postoperative Period Hip Joint Humans Machine Learning Female Adult
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Anti-HER2 therapy response assessment for guiding treatment (de-)escalation in early HER2-positive breast cancer using a novel deep learning radiomics model.

European radiology Feb 8, 2024
OBJECTIVES: Anti-HER2 targeted therapy significantly reduces risk of relapse in HER2 + breast cancer. New measures are needed for a precise risk stratification to guide (de-)escalation of anti-HER2 strategy.
Humans Retrospective Studies Female Aged Adult Deep Learning Antineoplastic Agents, Immunological Treatment Outcome Receptor, ErbB-2 Antibodies, Monoclonal, Humanized Trastuzumab Magnetic Resonance Imaging Breast Neoplasms Radiomics Middle Aged Risk Assessment
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Automated detection of fatal cerebral haemorrhage in postmortem CT data.

International journal of legal medicine Feb 8, 2024
During the last years, the detection of different causes of death based on postmortem imaging findings became more and more relevant. Especially postmortem computed tomography (PMCT) as a non-invasive, relatively cheap, and fast technique is progress...
Aged Adult Male Middle Aged Imaging, Three-Dimensional Algorithms Retrospective Studies Tomography, X-Ray Computed Female Support Vector Machine Cerebral Hemorrhage Autopsy Postmortem Imaging Humans Neural Networks, Computer Machine Learning
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Deep Learning for Chest X-ray Diagnosis: Competition Between Radiologists with or Without Artificial Intelligence Assistance.

Journal of imaging informatics in medicine Feb 8, 2024
This study aimed to assess the performance of a deep learning algorithm in helping radiologist achieve improved efficiency and accuracy in chest radiograph diagnosis. We adopted a deep learning algorithm to concurrently detect the presence of normal ...
Humans Female Adult Male Artificial Intelligence Algorithms Radiography, Thoracic Middle Aged Deep Learning Radiologists Radiographic Image Interpretation, Computer-Assisted
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Deep learning model to differentiate Crohn's disease from intestinal tuberculosis using histopathological whole slide images from intestinal specimens.

Virchows Archiv : an international journal of pathology Feb 8, 2024
Crohn's disease (CD) and intestinal tuberculosis (ITB) share similar histopathological characteristics, and differential diagnosis can be a dilemma for pathologists. This study aimed to apply deep learning (DL) to analyze whole slide images (WSI) of ...
Tuberculosis, Gastrointestinal Adult Male Middle Aged Deep Learning Predictive Value of Tests Crohn Disease Image Interpretation, Computer-Assisted Intestines Diagnosis, Differential Humans Female Reproducibility of Results Young Adult
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The Intersections of COVID-19, HIV, and Race/Ethnicity: Machine Learning Methods to Identify and Model Risk Factors for Severe COVID-19 in a Large U.S. National Dataset.

AIDS and behavior Feb 7, 2024
We investigate risk factors for severe COVID-19 in persons living with HIV (PWH), including among racialized PWH, using the U.S. population-sampled National COVID Cohort Collaborative (N3C) data released from January 1, 2020 to October 10, 2022. We d...
Severity of Illness Index HIV Infections United States Humans Ethnicity Female Racial Groups Risk Factors Adult Aged Male Machine Learning Middle Aged COVID-19 Comorbidity
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Autonomous Artificial Intelligence vs Artificial Intelligence-Assisted Human Optical Diagnosis of Colorectal Polyps: A Randomized Controlled Trial.

Gastroenterology Feb 7, 2024
BACKGROUND & AIMS: Artificial intelligence (AI)-based optical diagnosis systems (CADx) have been developed to allow pathology prediction of colorectal polyps during colonoscopies. However, CADx systems have not yet been validated for autonomous perfo...
Male Middle Aged Colonoscopy Diagnosis, Computer-Assisted Predictive Value of Tests Colonic Polyps Reproducibility of Results Aged Adult Colorectal Neoplasms Humans Artificial Intelligence Female
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