Artificial Intelligence Medical Compendium

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

Showing 24,911 to 24,920 of 217,472 articles

The Role of Molecular Testing in Head and Neck Squamous Cell Carcinoma of Unknown Primary.

Head and neck pathology
Squamous cell carcinomas of unknown primary (SCCUP), accounting for approximately 5% of head and neck malignancies, present significant clinical challenges in achieving disease control while minimizing therapy-related morbidities in the absence of a ... read more 

Bayesian regularization optimization technique for hybrid nanofluid with Cattaneo Christov flux model using wax and sand nanoparticles.

Discover nano
The current study employs Bayesian-regularization optimizer technique with artificial neural networks (BROT-ANNs) to investigate the significance of local thermal non-equilibrium influences on wax + sand-based hybrid nanofluid flow across a disk with... read more 

Glioblastoma region-specific metabolic signatures reflect patient survival duration.

Journal of neuro-oncology
PURPOSE: Spatial metabolic differences found in glioblastoma (GBM) tumor core (contrast enhancing) and peritumoral (T2/FLAIR hyperintense) edge tissue regions have recently enabled stratification of patient overall survival. However, the association ... read more 

Enhancing radiology workflows through collaborative AI-assisted chest X-ray reporting using large vision-language models: a proof-of-concept study.

Insights into imaging
OBJECTIVES: To evaluate whether collaborative assistance from an artificial intelligence-based tool that proposes partial radiology report content can improve reporting efficiency and radiologist satisfaction in chest X-ray interpretation, without co... read more 

Smart nanomaterials enabling drug delivery and glucose monitoring for diabetes management.

Discover nano
Diabetes mellitus represents one of the most prevalent chronic diseases worldwide, posing serious challenges to global health and healthcare sustainability. Conventional therapeutic strategies often face limitations such as poor bioavailability, freq... read more 

BA-UNet: A Boundary Augmented Segmentation Network for Cervical Cancer Radiotherapy.

Journal of imaging informatics in medicine
Accurate segmentation of the Clinical Target Volume (CTV) and Organs At Risk (OARs) is a prerequisite for effective cervical cancer radiotherapy. However, this task remains challenging due to the low tissue contrast of the CTV and the complex, tubula... read more 

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Singlet fission (SF) provides a promising strategy for surpassing the Shockley-Queisser limit in photovoltaics, thereby enabling high-efficiency, sustainable solar energy harvesting. However, the identification of efficient SF materials is hindered b... read more 

Monitoring horse behaviour with deep learning models.

The veterinary quarterly
Detailed analysis of stabled horse behaviour can reveal accurate information about its well-being. Advances in deep learning now allow these behaviours to be tracked without being invasive through the use of video data. This study evaluated a convolu... read more