Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 17,371 to 17,380 of 213,726 articles
Synthetic materials trained tactile sensing enables quantitative perception of Young's modulus and Poisson's ratio.
Nature communications
May 16, 2026
Accurately perceiving object softness remains challenging for tactile sensors, as current approaches estimate Young's modulus from object deformation in response to an applied pressure while overlooking the pivotal role of Poisson's ratio in shaping ... read more
Adaptive fuzzy deep learning with multimodal sensor fusion for enhanced plant disease detection.
Scientific reports
May 16, 2026
Timely and accurate plant disease detection is important for enhancing agricultural productivity and promoting sustainability. The study introduces Multimodal Adaptive Fuzzy-based Deep Neural Network (MAF-DNN) for classification of plant diseases. Th... read more
A hyperspectral imaging framework integrating band selection and deep learning for beverage stain classification in forensic analysis.
Scientific reports
May 16, 2026
The technique of Hyperspectral Imaging (HSI) is significant in the field of non-destructive forensic crime scene investigation, as it allows for the identification of minor spectral changes over a broad range of wavelengths. In the present study, the... read more
Enhancing spectral analysis of ghee adulteration via a deep learning-based multimodal attention mechanism.
Scientific reports
May 16, 2026
Expensive dairy products like ghee are at high risk of hazardous adulteration with cheaper fats, and traditional testing approaches such as FTIR device and conventional machine learning are too slow, complex, and lack the interpretability to be usefu... read more
Comprehensive benchmarking and explainable machine learning analysis of EEG imagery activity recognition.
Scientific reports
May 16, 2026
Motor imagery (MI)-based brain-computer interfaces (BCIs) enable users to control external devices using EEG signals, offering great potential in assistive and rehabilitation technologies. However, MI recognition remains challenging due to EEG's low ... read more
Palm sEMG-based user identification during doorknob rotation using a convolutional neural network.
Scientific reports
May 16, 2026
Convenient and secure user identification is increasingly important in everyday environments, particularly with the proliferation of contactless interactions and Internet-of-Things (IoT) devices. However, conventional authentication methods often req... read more
Integrating artificial intelligence tools in health research.
NPJ digital medicine
May 16, 2026
Disciplines conducting health research rely on discipline-specific workflows that are distinct from data science, the discipline which develops most artificial intelligence (AI)-enabled research tools. Here we reflect on the impact of such difference... read more
Design and implementation of a hybrid machine learning framework for predicting heart rate status.
Scientific reports
May 16, 2026
Real-time accurate evaluation of heart rate status during physical activity is a critical requirement in physiological analysis, performance enhancement, and early warning systems for cardiovascular diseases. In this work, a lightweight hybrid machin... read more
Neuro-evolutionary computing approach for an epidemic model of ransomware detection using morlet wavelet neural network with meta-heuristic optimization.
Scientific reports
May 16, 2026
This paper presents an algorithmic paradigm that will address a malware model in the form of a nonlinear set of differential equations. The neural networks are Morlet wavelet as estimate the state variables of the malware behavior. To maximize the ne... read more
Deep learning strategies for estimating retinal thickness from fundus images: a comparative study with multi-device data.
Scientific reports
May 16, 2026
Color fundus photographs (CFPs) are widely used for diabetic retinopathy (DR) screening due to accessibility. Optical coherence tomography (OCT) provides complementary depth-resolved retinal structure information but is less practical for large-scale... read more
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