Artificial Intelligence Medical Compendium

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

Showing 1,791 to 1,800 of 200,546 articles

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 

Interlayer-aware postoperative facial appearance prediction in orthognathic surgery with bio-geometric guidance.

Physics in medicine and biology
OBJECTIVE: Accurate prediction of postoperative facial appearance is essential for orthognathic surgical planning, yet remains challenging due to the nonlinear biomechanical coupling between bone and soft tissue. While deep learning methods offer a f... read more 

FUSION-CDW: Automated curation of scalable datasets for enhancing construction and demolition waste valorisation.

Waste management (New York, N.Y.)
Construction and demolition waste (CDW) is a significant waste stream. However, in material recovery facilities (MRFs), CDW still relies heavily on manual sorting, which limits throughput and waste valorisation. Vision-enabled automation can improve ... read more 

Deep learning-based prediction of trace silver concentrations in marine sediments from mid-infrared spectroscopy.

Marine pollution bulletin
Silver (Ag) is a biologically toxic element, and the rapid detection of its concentrations in environmental samples is thus of great importance. This study investigates mid-infrared (MIR) spectra of low-Ag sediments from the South China Sea (SCS), an... read more