AIMC Topic: Humans

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Drug-Target Interaction Prediction: End-to-End Deep Learning Approach.

IEEE/ACM transactions on computational biology and bioinformatics
The discovery of potential Drug-Target Interactions (DTIs) is a determining step in the drug discovery and repositioning process, as the effectiveness of the currently available antibiotic treatment is declining. Although putting efforts on the tradi...

A Memristive Circuit Implementation of Eyes State Detection in Fatigue Driving Based on Biological Long Short-Term Memory Rule.

IEEE/ACM transactions on computational biology and bioinformatics
Biological long short-term memory (B-LSTM) can effectively help human process all kinds of received information. In this work, a memristive B-LSTM circuit which mimics a conversion from short-term memory to long-term memory is proposed. That is, the ...

Deep learning nomogram for predicting lymph node metastasis using computed tomography image in cervical cancer.

Acta radiologica (Stockholm, Sweden : 1987)
BACKGROUND: Deep learning (DL) has been used on medical images to grade, differentiate, and predict prognosis in many tumors.

Analysing the effect of robotic gait on lower extremity muscles and classification by using deep learning.

Computer methods in biomechanics and biomedical engineering
Robotic gait training helps the nervous system recover and strengthen weak muscle groups. Many studies in the literature show that applying robotic gait rehabilitation to patients with neurological disorders such as Multiple Sclerosis (MS), Stroke an...

Deep Learning Reconstruction Enables Highly Accelerated Biparametric MR Imaging of the Prostate.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Early diagnosis and treatment of prostate cancer (PCa) can be curative; however, prostate-specific antigen is a suboptimal screening test for clinically significant PCa. While prostate magnetic resonance imaging (MRI) has demonstrated val...

Effects of demolishing abandoned buildings on firearm violence: a moderation analysis using aerial imagery and deep learning.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention
PURPOSE: Demolishing abandoned buildings has been found to reduce nearby firearm violence. However, these effects might vary within cities and across time scales. We aimed to identify potential moderators of the effects of demolitions on firearm viol...

Initial Experience of Robot-Assisted Laparoscopic Nephroureterectomy in Japan: A Useful Technique Using a Vessel Sealing Device for Securing a Good Surgical Field and Efficient Sealing.

Asian journal of endoscopic surgery
INTRODUCTION: Although robot-assisted nephroureterectomy (RANU) has been increasingly used worldwide, the history of RANU remains short, and the optimal surgical method for performing RANU has yet to be established. Here we introduce the ideal approa...

Artificial Intelligence -based technologies in nursing: A scoping literature review of the evidence.

International journal of nursing studies
BACKGROUND: Research on technologies based on artificial intelligence in healthcare has increased during the last decade, with applications showing great potential in assisting and improving care. However, introducing these technologies into nursing ...

Prospective machine learning CT quantitative evaluation of idiopathic pulmonary fibrosis in patients undergoing anti-fibrotic treatment using low- and ultra-low-dose CT.

Clinical radiology
AIM: To compare the machine learning computed tomography (CT) quantification tool, Computer-Aided Lung Informatics for Pathology Evaluation and Ratings (CALIPER) to pulmonary function testing (PFT) in assessing idiopathic pulmonary fibrosis (IPF) for...