AIMC Topic: Disease Progression

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Preoperative endogenous total testosterone predicts prostate cancer progression: results in 580 consecutive patients treated with robot assisted radical prostatectomy for clinically localized disease.

International urology and nephrology Mar 21, 2023
PURPOSE: To test the role of endogenous total testosterone (ETT) as a predictor of prostate cancer (PCa) progression in patients treated with robot assisted radical prostatectomy for clinically localized disease.
Prostatectomy Testosterone Robotics Prostate-Specific Antigen Neoplasm Recurrence, Local Prostatic Neoplasms Prognosis Male Disease Progression Humans
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Deep Learning-Based Computer-Aided Detection System for Preoperative Chest Radiographs to Predict Postoperative Pneumonia.

Academic radiology Mar 16, 2023
RATIONALE AND OBJECTIVES: The role of preoperative chest radiography (CR) for prediction of postoperative pneumonia remains uncertain. We aimed to develop and validate a prediction model for postoperative pneumonia incorporating findings of preoperat...
Retrospective Studies Male Middle Aged Humans Pneumonia Radiography Radiography, Thoracic Disease Progression Deep Learning
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A deep learning model incorporating spatial and temporal information successfully detects visual field worsening using a consensus based approach.

Scientific reports Jan 19, 2023
Glaucoma is a leading cause of irreversible blindness, and its worsening is most often monitored with visual field (VF) testing. Deep learning models (DLM) may help identify VF worsening consistently and reproducibly. In this study, we developed and ...
Female Intraocular Pressure Middle Aged Glaucoma Retrospective Studies Consensus Vision Disorders Visual Fields Disease Progression Deep Learning Humans Visual Field Tests
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Direct Evaluation of Treatment Response in Brain Metastatic Disease with Deep Neuroevolution.

Journal of digital imaging Nov 17, 2022
Cancer centers have an urgent and unmet clinical and research need for AI that can guide patient management. A core component of advancing cancer treatment research is assessing response to therapy. Doing so by hand, for example, as per RECIST or RAN...
Humans Brain Neoplasms Brain Neural Networks, Computer Disease Progression Artificial Intelligence
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Shuffle-ResNet: Deep learning for predicting LGG IDH1 mutation from multicenter anatomical MRI sequences.

Biomedical physics & engineering express Nov 11, 2022
The world health organization recommended to incorporate gene information such as isocitrate dehydrogenase 1 (IDH1) mutation status to improve prognosis, diagnosis, and treatment of the central nervous system tumors. We proposed our Shuffle Residual ...
Glioma Magnetic Resonance Imaging Isocitrate Dehydrogenase Mutation Brain Neoplasms Disease Progression Deep Learning Humans Retrospective Studies
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Virtual disease landscape using mechanics-informed machine learning: Application to esophageal disorders.

Artificial intelligence in medicine Oct 31, 2022
Esophageal disorders are related to the mechanical properties and function of the esophageal wall. Therefore, to understand the underlying fundamental mechanisms behind various esophageal disorders, it is crucial to map mechanical behavior of the eso...
Disease Progression Humans Neural Networks, Computer Machine Learning
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Generalizable deep learning model for early Alzheimer's disease detection from structural MRIs.

Scientific reports Oct 17, 2022
Early diagnosis of Alzheimer's disease plays a pivotal role in patient care and clinical trials. In this study, we have developed a new approach based on 3D deep convolutional neural networks to accurately differentiate mild Alzheimer's disease demen...
Biomarkers Alzheimer Disease Disease Progression Early Diagnosis Cognitive Dysfunction Humans Neuroimaging Deep Learning Magnetic Resonance Imaging
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MLRD-Net: 3D multiscale local cross-channel residual denoising network for MRI-based brain tumor segmentation.

Medical & biological engineering & computing Oct 3, 2022
The precise segmentation of multimodal MRI images is the primary stage of tumor diagnosis and treatment. Current segmentation strategies often underutilize multiscale features, which can easily lead to loss of contextual information, reduction of low...
Algorithms Brain Neoplasms Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Disease Progression Deep Learning
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Deep learning-based automatic-bone-destruction-evaluation system using contextual information from other joints.

Arthritis research & therapy Oct 3, 2022
BACKGROUND: X-ray images are commonly used to assess the bone destruction of rheumatoid arthritis. The purpose of this study is to propose an automatic-bone-destruction-evaluation system fully utilizing deep neural networks (DNN). This system detects...
Radiography Severity of Illness Index Humans Deep Learning Joints Disease Progression Arthritis, Rheumatoid
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Estimating individual treatment effect on disability progression in multiple sclerosis using deep learning.

Nature communications Sep 26, 2022
Disability progression in multiple sclerosis remains resistant to treatment. The absence of a suitable biomarker to allow for phase 2 clinical trials presents a high barrier for drug development. We propose to enable short proof-of-concept trials by ...
Multiple Sclerosis, Relapsing-Remitting Deep Learning Multiple Sclerosis Humans Multiple Sclerosis, Chronic Progressive Recurrence Disease Progression
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