AIMC Topic: Humans

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Variations in predictors for urinary continence recovery at different time periods following robot-assisted radical prostatectomy.

Asian journal of endoscopic surgery
INTRODUCTION: Urinary dysfunctions are common sequelae following prostatectomy. This study aimed to discover factors that can predict urinary continence recovery at various time periods after robot-assisted laparoscopic radical prostatectomy (RARP).

Distinct subtypes of spatial brain metabolism patterns in Alzheimer's disease identified by deep learning-based FDG PET clusters.

European journal of nuclear medicine and molecular imaging
PURPOSE: Alzheimer's disease (AD) is a heterogeneous disease that presents a broad spectrum of clinicopathologic profiles. To date, objective subtyping of AD independent of disease progression using brain imaging has been required. Our study aimed to...

Backdoor attack and defense in federated generative adversarial network-based medical image synthesis.

Medical image analysis
Deep Learning-based image synthesis techniques have been applied in healthcare research for generating medical images to support open research and augment medical datasets. Training generative adversarial neural networks (GANs) usually require large ...

Is Urethral Catheterization Necessary in Retzius-sparing Robot-assisted Radical Prostatectomy?

Urology
OBJECTIVE: To analyze whether urethral catheter (UC)-free anastomosis during Retzius-sparing radical prostatectomy (RP) results in worsening immediate perioperative and postoperative complications.

A new method based on deep learning and image processing for detection of strabismus with the Hirschberg test.

Photodiagnosis and photodynamic therapy
Strabismus is a condition in which one or both eyes do not work in parallel or in harmony. People with strabismus have one eye looking straight ahead while the other eye looks inwards, outwards, upwards or downwards. This condition can affect both ey...

Understanding neural network through neuron level visualization.

Neural networks : the official journal of the International Neural Network Society
Neurons are the fundamental units of neural networks. In this paper, we propose a method for explaining neural networks by visualizing the learning process of neurons. For a trained neural network, the proposed method obtains the features learned by ...

Boosted Additive Angular Margin Loss for breast cancer diagnosis from histopathological images.

Computers in biology and medicine
Pathologists use biopsies and microscopic examination to accurately diagnose breast cancer. This process is time-consuming, labor-intensive, and costly. Convolutional neural networks (CNNs) offer an efficient and highly accurate approach to reduce an...

Greater agreement is required to harness the potential of health intelligence: a critical interpretive synthesis.

Journal of clinical epidemiology
OBJECTIVES: To synthesize existing knowledge on the features of, and approaches to, health intelligence, including definitions, key concepts, frameworks, methods and tools, types of evidence used, and research gaps.

Deep Learning Can Predict Bevacizumab Therapeutic Effect and Microsatellite Instability Directly from Histology in Epithelial Ovarian Cancer.

Laboratory investigation; a journal of technical methods and pathology
Epithelial ovarian cancer (EOC) remains a significant cause of mortality among gynecologic cancers, with the majority of cases being diagnosed at an advanced stage. Before targeted therapies were available, EOC treatment relied largely on debulking s...