Artificial Intelligence Medical Compendium

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

Showing 51 to 60 of 6,466 articles

An efficient IoT-based crop damage prediction framework in smart agricultural systems.

Scientific reports Jul 30, 2025
This paper introduces an efficient IoT-based framework for predicting crop damage within smart agricultural systems, focusing on the integration of Internet of Things (IoT) sensor data with advanced machine learning (ML) and ensemble learning (EL) te... read more 

A patient-centered approach to developing and validating a natural language processing model for extracting patient-reported symptoms.

Scientific reports Jul 29, 2025
Patient-reported symptoms provide valuable insights into patient experiences and can enhance healthcare quality; however, effectively capturing them remains challenging. Although natural language processing (NLP) models have been developed to extract... read more 
Humans Patient-Centered Care Natural Language Processing Patient Reported Outcome Measures Electronic Health Records

Evaluating the efficacy of using large language models in preoperative prediction of microvascular invasion in HCC: a multicenter study.

Scientific reports Jul 29, 2025
Primary liver cancer is the sixth most commonly diagnosed cancer globally and the third leading cause of cancer-related deaths. Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer, and microvascular invasion (MVI) is a sign... read more 
Prognosis Retrospective Studies Machine Learning Adult Male Aged Female Humans Microvessels Large Language Models Neoplasm Invasiveness ROC Curve Middle Aged Preoperative Period Carcinoma, Hepatocellular Liver Neoplasms Hepatectomy

A multimodal deep learning architecture for predicting interstitial glucose for effective type 2 diabetes management.

Scientific reports Jul 29, 2025
The accurate prediction of blood glucose is critical for the effective management of diabetes. Modern continuous glucose monitoring (CGM) technology enables real-time acquisition of interstitial glucose concentrations, which can be calibrated against... read more 
Diabetes Mellitus, Type 2 Blood Glucose Blood Glucose Self-Monitoring Middle Aged Neural Networks, Computer Deep Learning Female Male Humans

A dual input dual spliced network with data augmentation for robust modulation recognition in communication countermeasures.

Scientific reports Jul 29, 2025
In the realm of communication reconnaissance, the accuracy of modulation recognition is of paramount importance. The modulation recognition task mainly encompasses two key aspects: the dataset and the network model. To enhance the recognition rate ac... read more 

Studying the performance of YOLOv11 incorporating DHSA BRA and PPA modules in railway track fasteners defect detection.

Scientific reports Jul 29, 2025
With the development of railway transportation and the advancement of deep learning, object detection algorithms are increasingly replacing manual inspection of track fasteners. However, current algorithms struggle with low accuracy in complex weathe... read more 

Classifying social and physical pain from multimodal physiological signals using machine learning.

Scientific reports Jul 29, 2025
Accurate pain assessment is essential for effective management; however, most studies have focused on differentiating pain from non-pain or estimating pain intensity rather than distinguishing between distinct pain types. We present a machine learnin... read more 
Support Vector Machine Young Adult Machine Learning Humans Pain Measurement Electrocardiography Female Male Pain Adult

A hybrid filtering and deep learning approach for early Alzheimer's disease identification.

Scientific reports Jul 29, 2025
Alzheimer's disease is a progressive neurological disorder that profoundly affects cognitive functions and daily activities. Rapid and precise identification is essential for effective intervention and improved patient outcomes. This research introdu... read more 
Humans Alzheimer Disease Deep Learning Female Male Aged Brain Magnetic Resonance Imaging Image Processing, Computer-Assisted

Deep learning-based automatic diagnosis of rice leaf diseases using ensemble CNN models.

Scientific reports Jul 29, 2025
Rice diseases pose a critical threat to global crop yields, underscoring the need for rapid and accurate diagnostic tools to ensure effective crop management and productivity. Traditional diagnostic approaches often lack both precision and scalabilit... read more 
Oryza Plant Leaves Plant Diseases Neural Networks, Computer Deep Learning

Integration of Google Earth Engine, Sentinel-2 images, and machine learning for temporal mapping of total dissolved solids in river systems.

Scientific reports Jul 29, 2025
One of the important indicators of water quality (WQ) in inland water systems is total dissolved solids (TDS). Collecting and maintaining in situ TDS data with high spatial and temporal resolution is time and money-consuming. This study highlights an... read more 
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