AIMC Topic: Artificial Intelligence

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AI Ethics beyond Principles: Strengthening the Life-world Perspective.

Science and engineering ethics
The search for ethical guidance in the development of artificial intelligence (AI) systems, especially in healthcare and decision support, remains a crucial effort. So far, principles usually serve as the main reference points to achieve ethically co...

Smart IoT-based snake trapping device for automated snake capture and identification.

Environmental monitoring and assessment
The threat of snakebites to public health, particularly in tropical and subtropical regions, requires effective mitigation strategies to avoid human-snake interactions. With the development of an IoT-based smart snake-trapping device, an innovative n...

Bias Amplification to Facilitate the Systematic Evaluation of Bias Mitigation Methods.

IEEE journal of biomedical and health informatics
The future of artificial intelligence (AI) safety is expected to include bias mitigation methods from development to application. The complexity and integration of these methods could grow in conjunction with advances in AI and human-AI interactions....

HybridBranchNetV2: Towards reliable artificial intelligence in image classification using reinforcement learning.

PloS one
Many artificial intelligence (AI) algorithms struggle to adapt effectively in dynamic real-world scenarios, such as complex classification tasks and object relationship extraction, due to their predictable but non-adaptive behavior. This paper introd...

Research on intelligent routing with VAE-GAN in the internet of body.

PloS one
The "Internet of Body" is an emerging technology that is centered on the human body and connected to the Internet. It can monitor a variety of human data (such as heart rate, blood oxygen content, etc.) and communicate with digital pills, wearable de...

Is more data always better? On alternative policies to mitigate bias in Artificial Intelligence health systems.

Bioethics
The development and implementation of Artificial Intelligence (AI) health systems represent a great power that comes with great responsibility. Their capacity to improve and transform healthcare involves inevitable risks. A major risk in this regard ...

TFinder App: Artificial intelligence to diagnose tick fever agents and assess parasitemia/bacteremia in bovine blood smears.

Veterinary parasitology
Due to the importance of diagnosing tick fever (TF) agents and their parasitemia in the field to provide appropriate treatment, the objective of this study was to develop an application capable of detecting the presence or absence of these hemopathog...

Human-AI collaboration for ultrasound diagnosis of thyroid nodules: a clinical trial.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
PURPOSE: This clinical trial examined how the articifial intelligence (AI)-based diagnostics system S-Detect for Thyroid influences the ultrasound diagnostic work-up of thyroid ultrasound (US) performed by different US users in clinical practice and ...

Using Artificial Intelligence to Advance Eating Disorder Research, Treatment and Practice.

The International journal of eating disorders
Artificial intelligence (AI) has the potential to revolutionize eating disorder research, treatment, and practice by assisting with complex problems such as predicting illness prognosis, supporting diagnostic decisions, tailoring treatment plans, and...

Modeling Boltzmann-weighted structural ensembles of proteins using artificial intelligence-based methods.

Current opinion in structural biology
This review highlights recent advances in AI-driven methods for generating Boltzmann-weighted structural ensembles, which are crucial for understanding biomolecular dynamics and drug discovery. With the rise of deep learning models such as AlphaFold2...