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A Liver Damage Prediction Using Partial Differential Segmentation with Improved Convolutional Neural Network.

BACKGROUND: The liver is one of the most significant and most essential organs in the human body. It...

Feb 2022 35265300
MSSort-DIA: A deep learning classification tool of the peptide precursors quantified by OpenSWATH.

OpenSWATH is an analysis toolkit commonly used for data independent acquisition (DIA). Although the ...

Feb 2022 35231660
Screening of antibacterial compounds with novel structure from the FDA approved drugs using machine learning methods.

Bacterial infection is one of the most important factors affecting the human life span. Elderly peop...

Feb 2022 35150482
Robot-assisted Total Mesorectal Excision and Lateral Pelvic Lymph Node Dissection for Locally Advanced Middle-low Rectal Cancer.

Since their approval for clinical use, da Vinci surgical robots have shown great advantages in gastr...

Feb 2022 35225257
Is Artificial Intelligence (AI) a Pipe Dream? Why Legal Issues Present Significant Hurdles to AI Autonomy.

Proponents of artificial intelligence (AI) technology have suggested that in the near future, AI sof...

Feb 2022 35138133
Polysomal mRNA Association and Gene Expression in .

: The contrasting physiological environments of   procyclic (insect vector) and bloodstream (mammali...

Feb 2022 34250262
DOTA: Deep Learning Optimal Transport Approach to Advance Drug Repositioning for Alzheimer's Disease.

Alzheimer's disease (AD) is the leading cause of age-related dementia, affecting over 5 million peop...

Jan 2022 35204697
Performance change with the number of training data: A case study on the binary classification of COVID-19 chest X-ray by using convolutional neural networks.

One of the features of artificial intelligence/machine learning-based medical devices resides in the...

(1)
Jan 2022 35093727
Artificial Intelligence-Based Assistance System for Visual Inspection of X-ray Scatter Grids.

Convolutional neural network (CNN)-based approaches have recently led to major performance steps in ...

Jan 2022 35161557
Artificial intelligence for dermatopathology: Current trends and the road ahead.

Artificial intelligence (AI), including deep learning methods that leverage neural network-based alg...

Jan 2022 35065872
Deterioration Level Estimation Based on Convolutional Neural Network Using Confidence-Aware Attention Mechanism for Infrastructure Inspection.

This paper presents deterioration level estimation based on convolutional neural networks using a co...

Jan 2022 35009924
Updates in Artificial Intelligence for Breast Imaging.

Artificial intelligence (AI) for breast imaging has rapidly moved from the experimental to implement...

Dec 2021 35523530
False Ceiling Deterioration Detection and Mapping Using a Deep Learning Framework and the Teleoperated Reconfigurable 'Falcon' Robot.

Periodic inspection of false ceilings is mandatory to ensure building and human safety. Generally, f...

(1)
Dec 2021 35009802
FDA-regulated AI Algorithms: Trends, Strengths, and Gaps of Validation Studies.

RATIONALE AND OBJECTIVES: To assess key trends, strengths, and gaps in validation studies of the Foo...

Dec 2021 34969610
Detecting Teeth Defects on Automotive Gears Using Deep Learning.

Gears are a vital component in many complex mechanical systems. In automotive systems, and in partic...

Dec 2021 34960573
Detection of seven toxins in edible and medicinal herbs using ultra-high performance liquid chromatography-tandem mass spectrometry.

mycotoxins are ubiquitous mycotoxins that contaminate food and animal feed. Here, an UPLC-MS/MS was...

(2)
Dec 2021 35499006
Trustworthy AI: Closing the gap between development and integration of AI systems in ophthalmic practice.

An increasing number of artificial intelligence (AI) systems are being proposed in ophthalmology, mo...

(1)
Dec 2021 34902546
Systems biology and machine learning approaches identify drug targets in diabetic nephropathy.

Diabetic nephropathy (DN), the leading cause of end-stage renal disease, has become a massive global...

Dec 2021 34873190
Novel computational models offer alternatives to animal testing for assessing eye irritation and corrosion potential of chemicals.

Eye irritation and corrosion are fundamental considerations in developing chemicals to be used in or...

Dec 2021 35935266
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