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Establishment of a successful robotic pediatric general surgery practice.

Robotic-assisted surgery (RAS) has a variety of theoretical advantages, including tremor filtration,...

Whole Slide Imaging Technology and Its Applications: Current and Emerging Perspectives.

. Whole slide imaging (WSI) represents a paradigm shift in pathology, serving as a necessary first s...

A deep learning-based drug repurposing screening and validation for anti-SARS-CoV-2 compounds by targeting the cell entry mechanism.

The recent outbreak of Corona Virus Disease 2019 (COVID-19) caused by severe acute respiratory syndr...

Initial Testing of Robotic Exoskeleton Hand Device for Stroke Rehabilitation.

The preliminary test results of a novel robotic hand rehabilitation device aimed at treatment for th...

Artificial intelligence and cheminformatics tools: a contribution to the drug development and chemical science.

In the ever-evolving field of drug discovery, the integration of Artificial Intelligence (AI) and Ma...

Deep learning in neuroimaging of epilepsy.

In recent years, artificial intelligence, particularly deep learning (DL), has demonstrated utility ...

DeepdlncUD: Predicting regulation types of small molecule inhibitors on modulating lncRNA expression by deep learning.

Targeting lncRNAs by small molecules (SM-lncR) to alter their expression levels has emerged as an im...

An FDA Guide on Indications for Use and Device Reporting of Artificial Intelligence-Enabled Devices: Significance for Pediatric Use.

Radiology has been a pioneer in adopting artificial intelligence (AI)-enabled devices into the clini...

Advancements in Drug Repurposing: Examples in Psychiatric Medications.

Because there are a limited number of animal models for psychiatric diseases that can be extrapolate...

Implementing comprehensive machine learning models of multispecies toxicity assessment to improve regulation of organic compounds.

Machine learning has made significant progress in assessing the risk associated with hazardous chemi...

New directions in psychiatric drug development: promising therapeutics in the pipeline.

INTRODUCTION: Psychiatric disorders are a leading cause of disability worldwide, calling for an urge...

Two-Stream Network One-Class Classification Model for Defect Inspections.

Defect inspection is important to ensure consistent quality and efficiency in industrial manufacturi...

Applying Machine Learning to the Visual Inspection of Filled Injectable Drug Products.

With machine learning (ML), we see the potential to better harness the intelligence and decision-mak...

AI/ML in Precision Medicine: A Look Beyond the Hype.

Artificial Intelligence (AI) and Machine Learning (ML) are making headlines in medical research, esp...

FDA-approved machine learning algorithms in neuroradiology: A systematic review of the current evidence for approval.

Over the past decade, machine learning (ML) and artificial intelligence (AI) have become increasingl...

A deep learning predictive model for public health concerns and hesitancy toward the COVID-19 vaccines.

Throughout the pandemic era, COVID-19 was one of the remarkable unexpected situations over the past ...

Patient groups in Rheumatoid arthritis identified by deep learning respond differently to biologic or targeted synthetic DMARDs.

Cycling of biologic or targeted synthetic disease modifying antirheumatic drugs (b/tsDMARDs) in rheu...

Right hemicolectomy for ascending colon cancer using the hinotori surgical robot system: The first ever case report for colon cancer.

The hinotori Surgical Robot System obtained pharmaceutical approval for use in colorectal cancer sur...

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