AIMC Topic: Prospective Studies

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Identifying resting-state effective connectivity abnormalities in drug-naïve major depressive disorder diagnosis via graph convolutional networks.

Human brain mapping
Major depressive disorder (MDD) is a leading cause of disability; its symptoms interfere with social, occupational, interpersonal, and academic functioning. However, the diagnosis of MDD is still made by phenomenological approach. The advent of neuro...

Improved Scaffold Hopping in Ligand-Based Virtual Screening Using Neural Representation Learning.

Journal of chemical information and modeling
Deep learning has demonstrated significant potential in advancing state of the art in many problem domains, especially those benefiting from automated feature extraction. Yet, the methodology has seen limited adoption in the field of ligand-based vir...

Clinical trial search: Using biomedical language understanding models for re-ranking.

Journal of biomedical informatics
Bidirectional Encoder Representations from Transformers (BERT) have achieved state-of-the-art effectiveness in some of the biomedical information processing applications. We investigate the effectiveness of these techniques for clinical trial search ...

CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions.

Scientific reports
Cardiac CINE magnetic resonance imaging is the gold-standard for the assessment of cardiac function. Imaging accelerations have shown to enable 3D CINE with left ventricular (LV) coverage in a single breath-hold. However, 3D imaging remains limited t...

Simulated clinical deployment of fully automatic deep learning for clinical prostate MRI assessment.

European radiology
OBJECTIVES: To simulate clinical deployment, evaluate performance, and establish quality assurance of a deep learning algorithm (U-Net) for detection, localization, and segmentation of clinically significant prostate cancer (sPC), ISUP grade group ≥ ...

Digital application developed to evaluate functional results following robot-assisted radical prostatectomy: App for prostate cancer.

Computer methods and programs in biomedicine
INTRODUCTION: Mobile applications ("apps") developed for smartphones and tablets are increasingly used in healthcare, allowing remote patient support or promoting self-health care. Prostate cancer (PC) screening allows for early-stage PC diagnosis, r...

Rapid whole-heart CMR with single volume super-resolution.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
BACKGROUND: Three-dimensional, whole heart, balanced steady state free precession (WH-bSSFP) sequences provide delineation of intra-cardiac and vascular anatomy. However, they have long acquisition times. Here, we propose significant speed-ups using ...