AIMC Topic: Artificial Intelligence

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Temporal case-based reasoning for type 1 diabetes mellitus bolus insulin decision support.

Artificial intelligence in medicine
Individuals with type 1 diabetes have to monitor their blood glucose levels, determine the quantity of insulin required to achieve optimal glycaemic control and administer it themselves subcutaneously, multiple times per day. To help with this proces...

Demystifying Multitask Deep Neural Networks for Quantitative Structure-Activity Relationships.

Journal of chemical information and modeling
Deep neural networks (DNNs) are complex computational models that have found great success in many artificial intelligence applications, such as computer vision1,2 and natural language processing.3,4 In the past four years, DNNs have also generated p...

Evolutionary and Neural Computing Based Decision Support System for Disease Diagnosis from Clinical Data Sets in Medical Practice.

Journal of medical systems
As a recent trend, various computational intelligence and machine learning approaches have been used for mining inferences hidden in the large clinical databases to assist the clinician in strategic decision making. In any target data the irrelevant ...

On-Board Detection of Pedestrian Intentions.

Sensors (Basel, Switzerland)
Avoiding vehicle-to-pedestrian crashes is a critical requirement for nowadays advanced driver assistant systems (ADAS) and future self-driving vehicles. Accordingly, detecting pedestrians from raw sensor data has a history of more than 15 years of re...

Ethical Design of Intelligent Assistive Technologies for Dementia: A Descriptive Review.

Science and engineering ethics
The use of Intelligent Assistive Technology (IAT) in dementia care opens the prospects of reducing the global burden of dementia and enabling novel opportunities to improve the lives of dementia patients. However, with current adoption rates being re...

The Ugly Truth About Ourselves and Our Robot Creations: The Problem of Bias and Social Inequity.

Science and engineering ethics
Recently, there has been an upsurge of attention focused on bias and its impact on specialized artificial intelligence (AI) applications. Allegations of racism and sexism have permeated the conversation as stories surface about search engines deliver...

Quantum associative memory with linear and non-linear algorithms for the diagnosis of some tropical diseases.

Neural networks : the official journal of the International Neural Network Society
This paper presents the QAMDiagnos, a model of Quantum Associative Memory (QAM) that can be a helpful tool for medical staff without experience or laboratory facilities, for the diagnosis of four tropical diseases (malaria, typhoid fever, yellow feve...

Artificial intelligence for breast cancer screening: Opportunity or hype?

Breast (Edinburgh, Scotland)
Interpretation of mammography for breast cancer (BC) screening can confer a mortality benefit through early BC detection, can miss a cancer that is present or fast growing, or can result in false-positives. Efforts to improve screening outcomes have ...

Artificial intelligence in peer review: How can evolutionary computation support journal editors?

PloS one
With the volume of manuscripts submitted for publication growing every year, the deficiencies of peer review (e.g. long review times) are becoming more apparent. Editorial strategies, sets of guidelines designed to speed up the process and reduce edi...