AIMC Topic: Research

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Artificial intelligence in histopathology: enhancing cancer research and clinical oncology.

Nature cancer
Artificial intelligence (AI) methods have multiplied our capabilities to extract quantitative information from digital histopathology images. AI is expected to reduce workload for human experts, improve the objectivity and consistency of pathology re...

CNN-based two-branch multi-scale feature extraction network for retrosynthesis prediction.

BMC bioinformatics
BACKGROUND: Retrosynthesis prediction is the task of deducing reactants from reaction products, which is of great importance for designing the synthesis routes of the target products. The product molecules are generally represented with some descript...

Scene Text Detection Based on Two-Branch Feature Extraction.

Sensors (Basel, Switzerland)
Scene text detection refers to locating text regions in a scene image and marking them out with text boxes. With the rapid development of the mobile Internet and the increasing popularity of mobile terminal devices such as smartphones, the research o...

Proceedings from the Society of Interventional Radiology Foundation Research Consensus Panel on Artificial Intelligence in Interventional Radiology: From Code to Bedside.

Journal of vascular and interventional radiology : JVIR
Artificial intelligence (AI)-based technologies are the most rapidly growing field of innovation in healthcare with the promise to achieve substantial improvements in delivery of patient care across all disciplines of medicine. Recent advances in ima...

Argument mining as rapid screening tool of COVID-19 literature quality: Preliminary evidence.

Frontiers in public health
BACKGROUND: The COVID-19 pandemic prompted the scientific community to share timely evidence, also in the form of pre-printed papers, not peer reviewed yet.

Exponential growth of systematic reviews assessing artificial intelligence studies in medicine: challenges and opportunities.

Systematic reviews
The evidence-based medicine (EBM) movementĀ is stepping up its efforts to assess medical artificial intelligence (AI) and data science studies. Since 2017, there has been a marked increase in the number of published systematic reviews that assess medi...

Cash stock strategies during regular and COVID-19 periods for bank branches by deep learning.

PloS one
Determining the optimal amount of cash stock reserved in each bank branch is a strategic decision. A certain level of cash stock must be kept and ready for cash withdrawal needs at a branch. However, holding too much cash not only forfeits opportunit...

Sensor Screening Methodology for Virtually Sensing Transmission Input Loads of a Wind Turbine Using Machine Learning Techniques and Drivetrain Simulations.

Sensors (Basel, Switzerland)
The ongoing trend of building larger wind turbines (WT) to reach greater economies of scale is contributing to the reduction in cost of wind energy, as well as the increase in WT drivetrain input loads into uncharted territories. The resulting intens...

Fast Kinematic Re-Calibration for Industrial Robot Arms.

Sensors (Basel, Switzerland)
Accurate kinematic modelling is pivotal in the safe and reliable execution of both contact and non-contact robotic applications. The kinematic models provided by robot manufacturers are valid only under ideal conditions and it is necessary to account...

Dual-Use and Trustworthy? A Mixed Methods Analysis of AI Diffusion Between Civilian and Defense R&D.

Science and engineering ethics
Artificial Intelligence (AI) seems to be impacting all industry sectors, while becoming a motor for innovation. The diffusion of AI from the civilian sector to the defense sector, and AI's dual-use potential has drawn attention from security and ethi...