AIMC Topic: Artificial Intelligence

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Toxicity assessment of doxycycline-aided artificial intelligence-assisted drug design targeting candidate 16S rRNA methyltransferase gene.

BMC pharmacology & toxicology
BACKGROUND: The misfunction of the protein 16SrRNA methyltransferase can result in Urinary tract infections (UTI), Gastrointestinal (GI) infections, sepsis, pneumonia, and wound infections; various tactics are used to lessen the fatal consequences. I...

Evaluation of the readability, quality, and accuracy of AI chatbot responses to questions about deleterious oral habits.

BMC oral health
BACKGROUND: Artificial intelligence (AI)-based chatbots are increasingly used by parents as convenient and fast-access sources of information on health-related topics. This study aimed to assess the readability, accuracy and overall quality of respon...

Reach and implementation of human and AI-assisted diabetic retinopathy screening models in primary healthcare settings in India.

Scientific reports
Diabetic retinopathy (DR) is a leading cause of preventable vision loss. While DR screening is critical, evidence on the reach and implementation of different screening models in primary healthcare settings is limited. This study evaluated the reach ...

OCRNet a robust deep learning framework for alphanumeric character recognition to assist the visually impaired.

Scientific reports
Optical Character Recognition (OCR) is a part of transformative Artificial Intelligence (AI) technology which translates printed or handwritten texts into digital, machine-readable form. These OCR systems act as an assistive tool for visually impaire...

Evaluating the reliability and clinical utility of artificial intelligence in first trimester prenatal screening and noninvasive prenatal testing.

Scientific reports
Artificial intelligence (AI) tools like ChatGPT-4o are increasingly utilized in prenatal care. However, their reliability and clinical applicability for healthcare providers in first-trimester screening remain unclear. This study aimed to evaluate th...

An intelligent fusion-based transfer learning model with artificial protozoa optimiser for enhancing gesture recognition to aid visually impaired people.

Scientific reports
Generally, the interaction of gestures presents a set of benefits to persons with disabilities, from improving motor, social, and cognitive skills to delivering a secure and controlled atmosphere for engaging in real-world scenarios. Automatic detect...

Artificial intelligence-assisted optimization of extraction enhances the biological activity of Phylloporia ribis.

Scientific reports
This research focuses on enhancing the extraction efficiency of Phylloporia ribis and assessing its biological functions. Key parameters including extraction temperature, duration, and ethanol-to-water ratio were optimized through both Response Surfa...

Hybrid intelligence in medical image segmentation.

Scientific reports
Medical image segmentation is vital for precise identification and analysis of anatomical structures and pathological regions, yet traditional models often fall short in aligning with clinical workflows, requiring extensive manual correction even whe...

Patent protection of biological genetic resources based on deep learning and artificial intelligence.

Scientific reports
With the rapid development of artificial intelligence (AI), deep learning has provided new ideas for the patent protection of biological genetic resources in the field of intellectual property. This paper aims to explore the application of deep learn...

The BRAINTEASER Datasets: Clinical, Wearable and Environmental Data for ALS & MS Progression Modeling.

Scientific data
Amyotrophic lateral sclerosis (ALS) and multiple sclerosis (MS) are debilitating diseases with unpredictable progression. Artificial Intelligence-based tools for modelling disease progression could significantly improve the quality of life for patien...