AI Medical Compendium

BlurryScope enables compact, cost-effective scanning microscopy for HER2 scoring using deep learning on blurry images.

NPJ digital medicine Aug 6, 2025

We developed a rapid scanning optical microscope, termed "BlurryScope", that leverages continuous image acquisition and deep learning to provide a cost-effective and compact solution for automated inspection and analysis of tissue sections. This devi... read more

Reusable Noncomplementary DNA-Based Neural Network.

Journal of the American Chemical Society Aug 6, 2025

Neural network computation is a cornerstone of modern artificial intelligence, with electronic software-based approaches achieving widespread success due to their ability to enable continuous, iterative learning on the same platform. DNA-based neural... read more

Enhancing Postural Monitoring in Wheelchair Users through Context Classification.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 6, 2025

Globally, the number of wheelchair users is steadily increasing. These people often adopt sitting patterns that reflect their functional status. Monitoring the user's postural status can help users and healthcare professionals to treat them. However,... read more

Current applications of deep learning in vertebral fracture diagnosis.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA Aug 6, 2025

Deep learning is a machine learning method that mimics neural networks to build decision-making models. Recent advances in computing power and algorithms have enhanced deep learning's potential for vertebral fracture diagnosis in medical imaging. The... read more

Synthetic Data Generated by Artificial Intelligence to Optimize Surgical Trial Design.

Annals of surgery Aug 6, 2025

OBJECTIVE: This study aimed to assess artificial intelligence (AI)-based synthetic data (SD) generation technology in surgery, evaluating the accuracy of the generated data and comparing the derived outcomes with real-world data. read more

Pyramidal attention-based T network for brain tumor classification: a comprehensive analysis of transfer learning approaches for clinically reliable and reliable AI hybrid approaches.

Scientific reports Aug 6, 2025

Brain tumors are a significant challenge to human health as they impair the proper functioning of the brain and the general quality of life, thus requiring clinical intervention through early and accurate diagnosis. Although current state-of-the-art ... read more

Humans Neural Networks, Computer Brain Neoplasms Deep Learning Glioma Magnetic Resonance Imaging Meningioma

Predictive Modeling of Osteonecrosis of the Femoral Head Progression Using MobileNetV3_Large and Long Short-Term Memory Network: Novel Approach.

JMIR medical informatics Aug 6, 2025

BACKGROUND: The assessment of osteonecrosis of the femoral head (ONFH) often presents challenges in accuracy and efficiency. Traditional methods rely on imaging studies and clinical judgment, prompting the need for advanced approaches. This study aim... read more

Humans Algorithms Female Adult Male Middle Aged Disease Progression Deep Learning Magnetic Resonance Imaging Femur Head Femur Head Necrosis

Improved early-stage crop classification using a novel fusion-based machine learning approach with Sentinel-2A and Landsat 8-9 data.

Environmental monitoring and assessment Aug 6, 2025

Crop classification during the early stages is challenging because of the striking similarity in spectral and texture features among various crops. To improve classification accuracy, this study proposes a novel fusion-based deep learning approach. T... read more

Neural Networks, Computer Machine Learning Deep Learning Environmental Monitoring Support Vector Machine Crops, Agricultural Satellite Imagery

Complex-Valued Chemometrics in Spectroscopy: Inverse Least Squares Regression.

Applied spectroscopy Aug 6, 2025

Inverse least squares (ILS) regression is an advancement of classical least squares (CLS) regression, enabling the calculation of concentrations without requiring prior knowledge of the number of components in a mixture. Complex-valued ILS further en... read more

Altered gray matter morphometry in psychogenic erectile dysfunction patients: A Surface-based morphometry study.