Artificial Intelligence Medical Compendium

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

Showing 1,071 to 1,080 of 6,800 articles

Repurposing of TV boxes for a circular economy in smart cities applications.

Scientific reports Jul 2, 2025
In recent years, a large number of illegal TV box devices have been confiscated in Brazil. According to a news report released in March 2024, an estimated 2.5 million TV boxes were stored in the warehouses of the Federal Revenue Service. Typically, t... read more 

Parsimonious and explainable machine learning for predicting mortality in patients post hip fracture surgery.

Scientific reports Jul 2, 2025
Hip fractures among the elderly population continue to present significant risks and high mortality rates despite advancements in surgical procedures. In this study, we developed machine learning (ML) algorithms to estimate 30-day mortality risk post... read more 
ROC Curve Female Hip Fractures Aged, 80 and over Male Humans Algorithms Aged Machine Learning

Multi channel fusion diffusion models for brain tumor MRI data augmentation.

Scientific reports Jul 2, 2025
The early diagnosis of brain tumors is crucial for patient prognosis, and medical imaging techniques such as MRI and CT scans are essential tools for diagnosing brain tumors. However, high-quality medical image data for brain tumors is often scarce a... read more 
Image Processing, Computer-Assisted Magnetic Resonance Imaging Deep Learning Diffusion Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Brain Neoplasms Algorithms

Machine learning for experimental design of ultrafast electron diffraction.

Scientific reports Jul 2, 2025
Ultrafast electron diffraction (UED) experiments can extract insights into material behavior at ultrafast timescales but are limited by the manual analysis required to process several gigabytes of diffraction pattern data. The lack of real-time data ... read more 

Hybrid deep learning architecture for scalable and high-quality image compression.

Scientific reports Jul 2, 2025
The rapid growth of medical imaging data presents challenges for efficient storage and transmission, particularly in clinical and telemedicine applications where image fidelity is crucial. This study proposes a hybrid deep learning-based image compre... read more 

Comprehensive machine learning analysis of PANoptosis signatures in multiple myeloma identifies prognostic and immunotherapy biomarkers.

Scientific reports Jul 2, 2025
PANoptosis is closely associated with tumorigenesis and therapeutic response, yet its role in multiple myeloma (MM) remains unclear. This study analyzed bulk transcriptomic and clinical data from the TCGA and GEO databases to identify seven PANoptosi... read more 
Machine Learning Multiple Myeloma Poly (ADP-Ribose) Polymerase-1 Humans Gene Expression Profiling Gene Expression Regulation, Neoplastic Male Immunotherapy Female Transcriptome Prognosis Biomarkers, Tumor

Development of an electrical current stimulator for controlling biohybrid machines.

Scientific reports Jul 2, 2025
Soft and flexible robotics is an emerging field that attracts a huge interest due to its ability to produce bioinspired devices that are easily adaptable to the environment. Biohybrid Machines (BHM) represent a category of soft robots that integrate ... read more 
Animals Electricity Humans Robotics Equipment Design Electric Stimulation Muscle Contraction

A big data driven multilevel deep learning framework for predicting terrorist attacks.

Scientific reports Jul 2, 2025
In recent years, terrorism has increasingly threatened human security, causing violence, fear, and damage to both the general public and specific targets. These attacks create unrest among individuals and within society. Leveraging the recent advance... read more 
Humans Forecasting Big Data Terrorism Deep Learning

Multi-scale fusion semantic enhancement network for medical image segmentation.

Scientific reports Jul 2, 2025
The application of sophisticated computer vision techniques for medical image segmentation (MIS) plays a vital role in clinical diagnosis and treatment. Although Transformer-based models are effective at capturing global context, they are often ineff... read more 
Humans Image Processing, Computer-Assisted Semantics Algorithms Neural Networks, Computer

Channel attention pyramid network for remote physiological measurement.

Scientific reports Jul 2, 2025
Remote photoplethysmography (rPPG) is an emerging contactless physiological parameter detection method utilizing cameras, showing great promise as a forefront technology for remote health assessment. While traditional rPPG methods have substantially ... read more 
Humans Video Recording Photoplethysmography Monitoring, Physiologic Deep Learning
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