Artificial Intelligence Medical Compendium

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

Showing 16,731 to 16,740 of 213,633 articles

Multi-channel spatial attention network for MRI super-resolution.

Medical & biological engineering & computing
Magnetic resonance imaging (MRI) provides important structural and functional information for clinical diagnosis. Due to the limitations in the device or the scanning time, obtainment of high-resolution MRI is not always available. MRI super-resoluti... read more 

Genome-wide variation in cell-free DNA end motif entropy predicts immunotherapy response in head and neck cancer.

The Journal of clinical investigation
BACKGROUND: Minimally invasive biomarkers predicting immunotherapy response in head and neck squamous cell carcinoma (HNSCC) remain an unmet clinical need. METHODS: Using patients from a prospective, multi-institutional phase II trial, we performed w... read more 

Large language models pass a standard three-party Turing test.

Proceedings of the National Academy of Sciences of the United States of America
The Turing test has been widely discussed as a test of machine intelligence, but it also provides a measure of how humans distinguish other humans from machines. We evaluated 4 systems (ELIZA, GPT-4o, LLaMa-3.1-405B, and GPT-4.5) in two randomized, c... read more 

"There's not one part of the programme that hasn't been useful in my clinical practice": undergraduate nursing students' views and experiences of a Dementia Education Program.

Gerontology & geriatrics education
Preparing nursing students to provide high-quality, person-centered dementia care is a global priority, yet most research has focused on measuring educational outcomes rather than understanding the mechanisms that underpin meaningful change. This qua... read more 

Improving Diagnosis of Severe Paediatric Lymphobronchial Tuberculosis Using Segmentation and Deep Learning on Chest X-Rays.

Respiration; international review of thoracic diseases
BACKGROUND: Diagnosing intrathoracic tuberculosis (TB) in children under five years of age remains challenging. Clinical symptoms often overlap with those of other common childhood illnesses, and microbiological confirmation is frequently difficult t... read more 

Simpler is Better: Feature Guard and Interaction for Semantic Correspondence.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Semantic correspondence establishes keypoint correspondences between different instances of the same category. Fusing texture and semantic features from vision foundation models like stable diffusion (SD) and DINO significantly improves matching perf... read more 

SAND: Spectral-Attention Neural Decoding of Hand Kinematics from Low-Frequency EEG Dynamics.

IEEE transactions on bio-medical engineering
Brain-Computer Interface (BCI) technology, integrating neuroscience and artificial intelligence, has been widely applied in neural rehabilitation. However, hand kinematics decoding via electroencephalography (EEG) is constrained by limited precision ... read more 

Minimum Foot Clearance Prediction in Stroke Survivors: A Transformer-Based Approach.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
A decrease in Minimum Foot Clearance (MFC), which represents the minimum vertical distance of the foot from the ground surface during the swing phase of the gait cycle, is one of the primary contributors to tripping-related falls among people with st... read more 

SPARNet: A Framework for Airway Invasion Tracking from Fluoroscopic Videos of Dysphagia Patients.

IEEE journal of biomedical and health informatics
The videofluoroscopic swallowing study (VFSS) is the clinical gold standard for evaluating dysphagia and detecting airway invasion. However, manual interpretation is time-consuming, subjective, and prone to rater variability due to the rapid and comp... read more 

A Foundation Model for Wearable Movement Data in Mental Health Research.

IEEE journal of biomedical and health informatics
Wearable movement data is collected by nearly all commercially available smartwatches and is a valuable resource for mental health research, reflecting fine-grained temporal behavioral trends. Despite its promise, the development of foundation models... read more