AIMC Topic: Artificial Intelligence

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Do we really want AI to be human-like?

Science robotics
Behavioral variability can be used to make robots more human-like, but we propose that it may be wiser to make them less so.

Evaluation and comparison of smartphone application tracing, web based artificial intelligence tracing and conventional hand tracing methods.

Journal of stomatology, oral and maxillofacial surgery
AIM: The aim of this study was to compare and evaluate the reliability of three different cephalometric assessment methods: Smartphone Application Tracing Method CephNinja (SATM), Web Based Artificial Intelligence (AI) Driven Tracing Method WebCeph (...

Physics guided neural networks for modelling of non-linear dynamics.

Neural networks : the official journal of the International Neural Network Society
The success of the current wave of artificial intelligence can be partly attributed to deep neural networks, which have proven to be very effective in learning complex patterns from large datasets with minimal human intervention. However, it is diffi...

Multivalued Logic for Optical Computing with Photonically Enabled Chiral Bio-organic Structures.

ACS nano
Photonic bio-organic multiphase structures are suggested here for integrated thin-film electronic nets with multilevel logic elements for multilevel computing via a reconfigurable photonic bandgap of chiral biomaterials. Herein, inspired by an artifi...

Automated Prediction of Kidney Failure in IgA Nephropathy with Deep Learning from Biopsy Images.

Clinical journal of the American Society of Nephrology : CJASN
BACKGROUND AND OBJECTIVES: Digital pathology and artificial intelligence offer new opportunities for automatic histologic scoring. We applied a deep learning approach to IgA nephropathy biopsy images to develop an automatic histologic prognostic scor...

Artificial intelligence in healthcare: a primer for medical education in radiomics.

Personalized medicine
The application of artificial intelligence (AI) to healthcare has garnered significant enthusiasm in recent years. Despite the adoption of new analytic approaches, medical education on AI is lacking. We aim to create a usable AI primer for medical ed...

Optimisation of Deep Learning Small-Object Detectors with Novel Explainable Verification.

Sensors (Basel, Switzerland)
In this paper, we present a novel methodology based on machine learning for identifying the most appropriate from a set of available state-of-the-art object detectors for a given application. Our particular interest is to develop a road map for ident...

Combined Mueller matrix imaging and artificial intelligence classification framework for Hepatitis B detection.

Journal of biomedical optics
SIGNIFICANCE: The combination of polarized imaging with artificial intelligence (AI) technology has provided a powerful tool for performing an objective and precise diagnosis in medicine.

Artificial intelligence for diagnosing gastric lesions under white-light endoscopy.

Surgical endoscopy
BACKGROUND: The ability of endoscopists to identify gastric lesions is uneven. Even experienced endoscopists may miss or misdiagnose lesions due to heavy workload or fatigue or subtle changes in lesions under white-light endoscopy (WLE). This study a...