Artificial Intelligence Medical Compendium

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

Showing 2,101 to 2,110 of 200,859 articles

IPSBrain: A Unified Intelligent Data Analysis Platform for Multimodal Experimental Characterization at Advanced Photon Source.

The journal of physical chemistry. A
Advanced photon sources deliver X-ray with unprecedented brilliance and coherence, facilitating sophisticated multimodal characterization of diverse materials while simultaneously generating data volumes that far exceed the capacity of traditional, e... read more 

Assessment system for short-term lower cranial nerve dysfunction following medulla oblongata glioma surgery: risk stratification and optimal surgical strategy.

Journal of neurosurgery
OBJECTIVE: Medullary gliomas pose significant surgical risks, particularly the risk of postoperative lower cranial nerve (LCN) dysfunction, which profoundly affects quality of life. The lack of standardized risk assessment hinders optimal surgical pl... read more 

Utilization of artificial intelligence-based writing assistance in contemporary spine literature.

Journal of neurosurgery. Spine
OBJECTIVE: With the advent of artificial intelligence (AI), scientific research and writing has benefitted from large language models to generate hypotheses, evaluate data, and draft manuscripts. However, this brings into question the prevalence, imp... read more 

A recurrent interferon, stress, and survival axis identifies a rare malignant programme across glioblastoma single-cell, spatial, and longitudinal cohorts.

Computers in biology and medicine
Glioblastoma exhibits profound intratumoral heterogeneity and rapid adaptation under stress, complicating durable therapeutic control. Here, a biologically grounded transcriptional axis is defined by three complementary modules capturing type I inter... read more 

The impact of competition mechanisms on primary school students' digital game-based mathematics learning.

Acta psychologica
The impact of competition mechanisms on students' learning outcomes in Digital Game-based Learning remains controversial, especially regarding its role in the mathematical ability development of primary school students. To investigate whether competi... read more 

EEG-based dataset explicitly targets the transitions between sitting and standing for exploring neural activation patterns in Motor Imagery and execution.

GigaScience
This study presents the first publicly accessible electroencephalography (EEG) dataset explicitly targeting sit-to-stand and stand-to-sit transitions during both motor execution (ME) and motor imagery (MI) tasks. Twenty-two healthy participants perfo... read more 

Geometry aware neural radiance fields for freehand ultrasound reconstruction.

Biomedical physics & engineering express
Reconstructing 3D volumes from 2D freehand ultrasound (US) is a challenging task. During reconstruction, the ensuing overlap between sweeps can cause multiple pixels to be assigned to the same voxel, so the accurate alignment of these sweeps is criti... read more 

Multi-scale dynamic cooperative attention network for Auditory Attention Detection.

Biomedical physics & engineering express
Humans exhibit a remarkable capacity to concentrate on particular auditory inputs amid multiple simultaneous speakers, as seen in cocktail party settings. Auditory Attention Detection (AAD) approaches seek to identify which conversation a listener is... read more 

Enhancing brain tumor classification with a simplified CNN through hyperparameter optimization.

Biomedical physics & engineering express
Brain tumors remain a major public health challenge because of their high mortality rate and the need for timely and accurate diagnosis. Magnetic Resonance Imaging (MRI) is widely used for brain tumor assessment, yet conventional diagnostic workflows... read more 

A comprehensive review of deep learning applications in the segmentation and classification of skin cancer.

Biomedical physics & engineering express
Skin cancer (SC) is one of the most prevalent forms of cancer worldwide. Both melanoma and non-melanoma types pose major challenges for early detection, accurate diagnosis, and proper treatment. Conventional diagnostic approaches, such as biopsy and ... read more