Artificial Intelligence Medical Compendium

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

Showing 58,651 to 58,660 of 227,634 articles

Quantifying carbon stock and tree community composition in tropical forests through combining satellite and UAV analyses.

Scientific reports
Monitoring tropical ecosystem services such as carbon stock and biodiversity with satellite remote sensing is essential for addressing climate change and biodiversity loss, but collecting ground truth data is costly. We investigated whether Unmanned ... read more 

Multimodal deep learning with anatomically constrained attention for screening MRI-detectable TMJ abnormalities from panoramic images.

NPJ digital medicine
Early diagnosis of temporomandibular disorders is challenging. Particularly, intra-articular temporomandibular joint (TMJ) abnormalities can only be confirmed using magnetic resonance imaging (MRI). This study aimed to develop a comprehensive screeni... read more 

Physics-informed deep learning enables fast ultrahigh-resolution nuclear magnetic resonance spectroscopy.

Communications chemistry
Pure shift NMR spectroscopy has found extensive applicationsĀ in exploring the structure, function, and interactions of molecules in an ultrahigh-resolution manner. However, time-consuming data acquisition resulting from additional time dimension for ... read more 

Hybrid machine learning and Gaussian process for antenna parameter estimation.

Scientific reports
This paper presents a hybrid method of combining the Random Forest (RF) algorithm in machine learning (ML) and the Gaussian process (GP) to design microstrip patch antennas at any frequency from 0.6 to 6.5 GHz. Distinct from many published works, the... read more 

Transformer-based intelligent detection model for early dental caries in panoramic radiographs.

Scientific reports
Early detection of dental caries in panoramic radiographs remains challenging due to subtle radiographic features and complex anatomical structures. This study develops a Transformer-based intelligent detection model specifically optimized for identi... read more 

Integrated analytical hierarchy process and neural network approaches for assessment of soil erosion risk in Manjira River sub-basin, India.

Scientific reports
Soil erosion poses critical threats to agricultural sustainability and food security in semi-arid regions, necessitating innovative assessment frameworks for effective sustainable land management. This study presents an integrated Analytical Hierarch... read more 

Collective asymmetric synthesis of the Strychnos alkaloids via thiophene S,S-dioxide cycloadditions.

Nature chemistry
The Strychnos alkaloids have long been regarded as landmark targets for chemical synthesis due to their captivating architectures and notorious biological properties. However, the design of approaches that access multiple family members in an asymmet... read more 

Groundwater depth prediction based on CNN-GRU-attention model.

Environmental monitoring and assessment
As a crucial freshwater resource, groundwater plays an indispensable role in arid and semi-arid regions characterized by low annual precipitation and frequent droughts. Developing computational frameworks for groundwater level prediction is essential... read more