AIMC Topic: Artificial Intelligence

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Deep Learning Image Analysis of Nanoplasmonic Sensors: Toward Medical Breath Monitoring.

ACS applied materials & interfaces
Sensing biomarkers in exhaled breath offers a potentially portable, cost-effective, and noninvasive strategy for disease diagnosis screening and monitoring, while high sensitivity, wide sensing range, and target specificity are critical challenges. W...

Objectivization of virus titration method in GMP-regulated environment using artificial intelligence-based classification system.

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V
The implementation of artificial intelligence-based systems (AI) into highly regulated industries faces significant regulatory and logistical challenges. The lack of established practices and guidelines, risk aversion attitude, perception of AI techn...

Automated Secchi disk depth measurement based on artificial intelligence object recognition.

Marine pollution bulletin
Water transparency affects the degree of sunlight penetration in water, which is important to many water quality processes. It can be visually measured by lowering a Secchi disk (SD) into water and recording its disappearance depth - the Secchi disk ...

Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms.

Proceedings of the National Academy of Sciences of the United States of America
Since their emergence a few years ago, artificial intelligence (AI)-synthesized media-so-called deep fakes-have dramatically increased in quality, sophistication, and ease of generation. Deep fakes have been weaponized for use in nonconsensual pornog...

Stratification of Length of Stay Prediction following Surgical Cytoreduction in Advanced High-Grade Serous Ovarian Cancer Patients Using Artificial Intelligence; the Leeds L-AI-OS Score.

Current oncology (Toronto, Ont.)
(1) Background: Length of stay (LOS) has been suggested as a marker of the effectiveness of short-term care. Artificial Intelligence (AI) technologies could help monitor hospital stays. We developed an AI-based novel predictive LOS score for advanced...

Analysis of the Security and Reliability of Cryptocurrency Systems Using Knowledge Discovery and Machine Learning Methods.

Sensors (Basel, Switzerland)
Cryptocurrency, often known as virtual or digital currency, is a safe platform and a key component of the blockchain that has recently attracted much interest. Utilizing blockchain technology, bitcoin transactions are recorded in blocks that provide ...

In-Home Older Adults' Activity Pattern Monitoring Using Depth Sensors: A Review.

Sensors (Basel, Switzerland)
The global population is aging due to many factors, including longer life expectancy through better healthcare, changing diet, physical activity, etc. We are also witnessing various frequent epidemics as well as pandemics. The existing healthcare sys...

Intelligent Manufacturing and Carbon Emissions Reduction: Evidence from the Use of Industrial Robots in China.

International journal of environmental research and public health
Driven by the information technology revolution, using artificial intelligence to promote intelligent manufacturing while achieving carbon emissions reduction is increasingly the focus of international attention. Given this, based on the fact that Ch...

DINI: data imputation using neural inversion for edge applications.

Scientific reports
The edge computing paradigm has recently drawn significant attention from industry and academia. Due to the advantages in quality-of-service metrics, namely, latency, bandwidth, energy efficiency, privacy, and security, deploying artificial intellige...

Artificial intelligence based prediction models for individuals at risk of multiple diabetic complications: A systematic review of the literature.

Journal of nursing management
AIM: The aim of this review is to examine the effectiveness of artificial intelligence in predicting multimorbid diabetes-related complications.