Artificial Intelligence Medical Compendium

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

Showing 64,041 to 64,050 of 231,309 articles

Application of deep learning on MRI for prognostic prediction in rectal cancer.

European radiology Jan 15, 2026
OBJECTIVES: Pretreatment MRI was employed to develop and validate a combined model integrating clinical features with deep learning for rectal cancer. MATERIALS AND METHODS: We retrospectively collected 458 patients from three hospitals and followed ... read more 

TomoRay cranial: synthesis of cranial CT imaging from biplanar radiographs using a generative adversarial network.

European radiology Jan 15, 2026
OBJECTIVES: Besides clinical examination, cranial CT plays a critical role in diagnostics in neurosurgery. In trauma cases or perioperatively, having low-barrier access to CT-like imaging would be highly beneficial. Therefore, this feasibility study ... read more 

Stratifying amyloid burden in early Alzheimer's disease using cascaded attention-guided vision transformer using [¹⁸F]Florbetapir PET.

European radiology Jan 15, 2026
OBJECTIVES: This study aims to develop a deep learning model to assist physicians in accurately classifying negative, equivocal, and positive β-amyloid (Aβ) deposition stages in Alzheimer's disease (AD). MATERIALS AND METHODS: 1327 subjects from two ... read more 

[Responsible use of AI and robotics in medicine : Opportunities, challenges and perspectives for otorhinolaryngology].

HNO Jan 15, 2026
Artificial intelligence (AI) and robotics are transforming the foundations of medical practice. Their integration creates new opportunities for precision, individualization and efficiency but also raises fundamental ethical questions about knowledge,... read more 

[Surgery in the hospital and the practice : Chances, challenges and perspectives in otorhinolaryngology].

HNO Jan 15, 2026
Operative ear, nose and throat (ENT) medicine in Germany is facing a profound structural change, which is significantly influenced by the ongoing hospital reform, the expansion of outpatient surgery services and technical innovations. University and ... read more 

Utilisation of Machine Learning Approaches Improves RNA-Seq Transcriptome Analyses in Alzheimer's Disease Brain.

Journal of molecular neuroscience : MN Jan 15, 2026
UNLABELLED: Alzheimer’s disease (AD) is a neurodegenerative disorder that progressively deteriorates a person’s memory, as well as their ability to think and move. It has been reported to be the most common cause of dementia. Alterations in gene expr... read more 

Automatic radiation-free evaluation of Cobb angle for spinal curvature based on fringe projection profilometry and deep learning technology.

Spine deformity Jan 15, 2026
OBJECTIVE: Pediatric scoliosis is the most prevalent spinal disorder, often leading to abnormal curvature and deformation of the spine. Early detection is essential for timely intervention, particularly in growing adolescents. In this study, we prese... read more 

Biologically explicable multimodal model predicting local tumor progression and tumor invasiveness of hepatocellular carcinoma.

Hepatology (Baltimore, Md.) Jan 15, 2026
PURPOSE: Local tumor progression (LTP) of hepatocellular carcinoma (HCC) after thermal ablation (TA) is related to tumor invasiveness and threaten the health. We aim to build a multimodal model to explicable tumor invasiveness and reduce LTP. METHODS... read more 

A Dual Classifier-Regressor Architecture for Heart Sound Onset/Offset Detection.

IEEE transactions on bio-medical engineering Jan 15, 2026
OBJECTIVE: Identifying the first (S1) and second (S2) heart sounds from phonocardiogram (PCG) signals is an essential step in automating the diagnosis of cardiac conditions such as irregular heartbeat, valve misfunctions, and heart failure. Recent re... read more 

Single-Photon Imaging in Complex Scenarios via Physics-Informed Deep Neural Networks.

IEEE transactions on pattern analysis and machine intelligence Jan 15, 2026
Single-photon imaging uses single-photon-sensitive picosecond-resolution sensors to capture 3D structure and supports diverse applications, but success remains mostly limited to simple scenes. In complex scenarios, traditional methods degrade and dee... read more 
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