Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 58,711 to 58,720 of 227,634 articles

A concentration detection model combining frequency-domain physical priors and deep learning: For SO2 and NO mixed gas under NH3 interference.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 23, 2026
In the 200-230 nm ultraviolet wavelength range, there is a significant overlap in the absorption spectra of sulfur dioxide (SO2), nitric oxide (NO), and ammonia (NH3). This overlap significantly complicates the detection of SO₂ and NO concentrations.... read more 

Differentiable Generative Adversarial Network Architecture Search Guided by Efficient Attention and Fréchet Distance.

International journal of neural systems Jan 23, 2026
Generative adversarial network (GAN) architecture search aims to automate the discovery of high-performance network structures. While differentiable search methods like DAMGAN have shown promise, their reliance on inefficient SENet modules and advers... read more 

Chronic kidney disease detection using XceptionNet with Harmonic Addax Optimization.

Computational biology and chemistry Jan 22, 2026
Chronic Kidney Disease (CKD) refers to a persistent and progressive impairment of kidney function occurring over a prolonged duration. Impaired kidney filtration can lead to the accumulation of waste products and excess fluid in the bloodstream, cont... read more 

Improved screening for pulmonary Kaposi sarcoma in a low-resource setting.

AIDS (London, England) Jan 22, 2026
OBJECTIVE: The lung is commonly involved in advanced Kaposi sarcoma (KS) but diagnosis of pulmonary KS in low-resource settings is difficult. Clinical assessments were evaluated to improve screening for pulmonary KS in a low-resource setting. METHODS... read more 

Mitigating sensitive information leakage in LLMs4Code through machine unlearning.

Neural networks : the official journal of the International Neural Network Society Jan 22, 2026
Large Language Models for Code (LLMs4Code) have achieved strong performance in code generation, but recent studies reveal that they may memorize and leak sensitive information contained in training data, posing serious privacy risks. To address this ... read more 

Exploring financial sentiment analysis via fine-tuning large language model and attributed graph neural network.

Neural networks : the official journal of the International Neural Network Society Jan 22, 2026
Financial sentiment analysis (FSA) refers to the task of classifying textual content into predefined sentiment categories to analyze their potential impacts on financial market fluctuations. However, directly applying these pre-trained LLMs to FSA st... read more 

UniSymNet: A Unified Symbolic Network with Sparse Encoding and Bi-level Optimization.

Neural networks : the official journal of the International Neural Network Society Jan 22, 2026
Automatically discovering mathematical expressions is a challenging issue to precisely depict natural phenomena, in which Symbolic Regression (SR) is one of the most widely utilized techniques. Mainstream SR algorithms target on searching for the opt... read more 

Deep eutectic hydrogel with polyphenol metal coordination and size reduced cellulose for high performance strain sensing.

Carbohydrate polymers Jan 22, 2026
Deep eutectic solvent (DES)-based hydrogels are environmentally friendly and structurally tunable, yet their applications are often limited by poor conductivity, weak resilience and rigidity. Herein, a multifunctional hydrogel (DC-TAZn) was developed... read more 

Channel-wise joint disentanglement representation learning for B-mode and super-resolution ultrasound based CAD of breast cancer.

Medical image analysis Jan 22, 2026
B-mode ultrasound (BUS) is widely used in breast cancer diagnosis, while the emerging super-resolution ultrasound (SRUS) provides microvascular information with high spatial resolution, which has shown great potential in improving breast cancer diagn... read more 

Online monitoring of Chinese herbal medicine production process toward lean six sigma: multimodal data fusion based on transformer architecture.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 22, 2026
The manufacturing of Chinese medicines often faces challenges such as poor product consistency, high solvent consumption, and long processing times. The percolation process is a commonly used technique for extracting medicinal herbs. Significant vari... read more 
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