Artificial Intelligence Medical Compendium

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

Showing 891 to 900 of 6,689 articles

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 
Aged, 80 and over Male ROC Curve Hip Fractures Algorithms Humans Female Machine Learning Aged

Assessment of drug induced hyperuricemia and gout risk using the FDA adverse event reporting system.

Scientific reports Jul 2, 2025
Hyperuricemia, the key pathological basis of gout, is increasingly prevalent worldwide. While lifestyle factors contribute, various medications also play a role. However, their specific risks and mechanisms remain inadequately studied. Disproportiona... read more 
United States Food and Drug Administration Adverse Drug Reaction Reporting Systems Gout Aged Adult Male Middle Aged United States Hyperuricemia Humans Female Risk Factors

A novel ST-GCN model based on homologous microstate for subject-independent seizure prediction.

Scientific reports Jul 2, 2025
Due to the lack of validated universal seizure markers, population-level prediction methods often exhibit limited performance. This study proposes homologous microstate dynamic attributes as a generalized, subject-independent seizure marker. Homologo... read more 
Humans Neural Networks, Computer Electroencephalography Seizures

A deep learning-based computed tomography reading system for the diagnosis of lung cancer associated with cystic airspaces.

Scientific reports Jul 2, 2025
To propose a deep learning model and explore its performance in the auxiliary diagnosis of lung cancer associated with cystic airspaces (LCCA) in computed tomography (CT) images. This study is a retrospective analysis that incorporated a total of 342... read more 
Radiographic Image Interpretation, Computer-Assisted Aged Retrospective Studies Cysts Humans Male Lung Tomography, X-Ray Computed Middle Aged Female Deep Learning Lung Neoplasms

Scalable geometric learning with correlation-based functional brain networks.

Scientific reports Jul 2, 2025
Correlation matrices serve as fundamental representations of functional brain networks in neuroimaging. Conventional analyses often treat pairwise interactions independently within Euclidean space, neglecting the underlying geometry of correlation st... read more 
Machine Learning Algorithms Brain Humans Electroencephalography Neuroimaging Computer Simulation Nerve Net Magnetic Resonance Imaging Brain Mapping

Clinical validation of AI assisted animal ultrasound models for diagnosis of early liver trauma.

Scientific reports Jul 2, 2025
The study aimed to develop an AI-assisted ultrasound model for early liver trauma identification, using data from Bama miniature pigs and patients in Beijing, China. A deep learning model was created and fine-tuned with animal and clinical data, achi... read more 
Liver Male Female Swine, Miniature Deep Learning Adult Humans Middle Aged Ultrasonography Animals Artificial Intelligence Swine Disease Models, Animal

Combining multi-parametric MRI radiomics features with tumor abnormal protein to construct a machine learning-based predictive model for prostate cancer.

Scientific reports Jul 2, 2025
This study aims to investigate the diagnostic value of integrating multi-parametric magnetic resonance imaging (mpMRI) radiomic features with tumor abnormal protein (TAP) and clinical characteristics for diagnosing prostate cancer. A cohort of 109 pa... read more 
Humans Machine Learning Aged Magnetic Resonance Imaging Neoplasm Proteins Prostatic Neoplasms Radiomics Male Middle Aged Prostate-Specific Antigen Multiparametric Magnetic Resonance Imaging

Real-world defocus deblurring via score-based diffusion models.

Scientific reports Jul 2, 2025
Defocus blur commonly arises from the cameras' depth-of-field limitations. While the deep learning method shows promise for image restoration problems, defocus deblurring requires accurate training data comprising pairs of all-in-focus and defocus im... read more 

Recognition of anxiety and depression using gait data recorded by the kinect sensor: a machine learning approach with data augmentation.

Scientific reports Jul 2, 2025
Anxiety and depression disorders are increasingly common, necessitating methods for real-time assessment and early identification. This study investigates gait analysis as a potential indicator of mental health, using the Microsoft Kinect sensor to c... read more 
Biomechanical Phenomena Male Anxiety Female Young Adult Adult Bayes Theorem Humans Gait Gait Analysis Machine Learning Anxiety Disorders Depression Support Vector Machine

End-to-end feature fusion for jointly optimized speech enhancement and automatic speech recognition.

Scientific reports Jul 2, 2025
Speech enhancement (SE) and automatic speech recognition (ASR) in real-time processing involve improving the quality and intelligibility of speech signals on the fly, ensuring accurate transcription as the speech unfolds. SE eliminates unwanted backg... read more 
Noise Signal Processing, Computer-Assisted Speech Intelligibility Humans Speech Recognition Software Algorithms Speech
Popular Topics
Recent Journals