Artificial Intelligence Medical Compendium

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

Showing 43,091 to 43,100 of 223,853 articles

Assessment of quantum chemical predictors for anti-colorectal cancer agents using QSAR modeling.

Journal of computer-aided molecular design Mar 10, 2026
Optimizing the prediction of anti-colorectal cancer agent activity is essential aspect in the identification and creation of medications. Machine learning (ML) techniques, which have gained widespread adoption in computational chemistry, offer a rapi... read more 

Unlocking the black box: multimodal imaging and quantitative analysis of plant vesicular trafficking.

Advanced biotechnology Mar 10, 2026
How do plants, lacking a central nervous system, translate environmental stimuli into physiological actions within milliseconds? Vesicular trafficking acts as a cellular core signal and material transport hub that facilitates this rapid adaptation, y... read more 

A YOLOv12-based approach for automatic detection of cephalometric landmarks on 2D lateral skull X-ray images.

Scientific reports Mar 10, 2026
Cephalometric analysis is the quantitative evaluation of skeletal and soft-tissue relationships on lateral skull radiographs; it underlies diagnosis, treatment planning, and growth assessment in orthodontics. The analysis hinges on cephalometric land... read more 

Bird-inspired optimization approach using taper-shape transfer function for intrusion detection in IoT networks.

Scientific reports Mar 10, 2026
The Internet of Things (IoT) has emerged as a pervasive technological paradigm that interconnects heterogeneous devices and sensors, enabling continuous data acquisition, communication, and intelligent decision-making. However, the large-scale, dynam... read more 

AI-driven fault detection and classification in photovoltaic systems using deep learning techniques.

Scientific reports Mar 10, 2026
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Optimizing solar and wind forecasting with iHow optimization algorithm and multi-scale attention networks.

Scientific reports Mar 10, 2026
Deep learning models often encounter two key challenges in developing intelligent and scalable forecasting frameworks for renewable energy systems: input feature space dimensionality and sensitivity to hyperparameter settings. These limitations incre... read more 

Generating coordinated bounding locomotion for a small-scale quadrupedal robot with thoracic-pelvic articulation via reinforcement learning.

Bioinspiration & biomimetics Mar 10, 2026
Small-scale cursorial quadrupedal animals coordinate their spines and limbs for rapid and agile locomotion. Although small-scale quadruped robots have demonstrated impressive mobility in various unstructured environments, they rarely fully leverage t... read more 

Assessing the environmental costs of multi-scale recurrent neural networks for sustainable extreme rainfall nowcasting.

Scientific reports Mar 10, 2026
The nowcasting of extreme rainfall poses significant daily challenges on a global scale, especially in vulnerable regions of the Global South. Conventional Numerical Weather Prediction models often fail to deliver accurate and timely forecasts for ex... read more 

An interpretable machine learning model for predicting prognosis of medulloblastoma integrating genetic and clinical features.

Communications medicine Mar 10, 2026
BACKGROUND: Medulloblastoma (MB), the most common malignant pediatric brain tumor, lacks prognostic tools integrating clinical, molecular, and treatment-related characteristics for individualized management. METHODS: We developed machine learning mod... read more 

ResNet based backbone integrated YOLO framework for bone fracture detection.

Scientific reports Mar 10, 2026
The usage of artificial intelligence and machine learning has significantly strengthened computer-aided medical diagnostics, and fine-tuning models and architectures for medical detection purposes has become a common occurrence. Bone fracture detecti... read more 
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