Latest AI and machine learning research in radiology for healthcare professionals.
Aging proceeds heterogeneously across organs, making chronological age an inadequate measure of physiological decline. The concept of organ biological age (OBA) offers a refined framework to quantify organ-specific functional deterioration. However, current OBA assessments - based on epigenetic, transcriptomic, metabolomic, or imaging data-largely capture the outcomes rather than the onset of agin...
Multiple sclerosis (MS) is characterized by clinical and radiological heterogeneity. Recent refinements in the McDonald criteria and the integration of advanced MRI biomarkers, such as the central vein sign and paramagnetic rim lesions, can enhance diagnostic precision but may also push the manual radiological workload to an unsustainable level. This growing diagnostic complexity makes artificial ...
Pancreatic neuroendocrine tumors (PanNETs) are increasingly diagnosed, reflecting greater clinical awareness, improved imaging, and revised classifica...
In the field of orthodontics, the degree of fusion of the midpalatal suture (MPS) is a crucial factor in determining the most appropriate maxillary ex...
Pre-operative planning for complex liver surgery is constrained by 2D CT/MRI. Digital 3D liver models (3DL-RL) may improve decision-making, but multic...
Presence of intravenous contrast on computed tomography (CT) scans is often unreliably documented, especially in large research datasets. FALCON is an...
PURPOSE: The aim of this study is to evaluate a deep variational network, FlowVN, for the reconstruction of heavily undersampled 4D Flow MRI across mu...
Precise localization and resection of epileptogenic (epi) foci from multiple cortical foci determine surgical outcomes in the tuberous sclerosis compl...
AI has been proposed as a triage or "rule-out" device to reduce radiologist workload, but it is presently unclear how an AI "rule-out" threshold shoul...
BACKGROUND: Prostate MRI protocols vary across institutions, with abbreviated protocols increasingly limited to axial plane acquisitions. Conventional...
Recent scientific and technological advances have dramatically expanded the possibilities in cardiovascular medicine. Landmark clinical trials have in...
Understanding macromolecular structures of proteins and nucleic acids is critical for discerning their functions and biological roles. Advanced techni...
Traumatic brain injury is a significant concern in contact sports, with concussions being the most common type. Kabaddi, a high-contact sport, carries...
Data mining is the systematic process of extracting useful knowledge from large multimodal datasets and is increasingly enabled by artificial intellig...
PURPOSE: Central venous catheterization (CVC) is a critical medical procedure for vascular access, hemodynamic monitoring, and life-saving interventio...
Accurate body weight measurement is essential for determining the appropriate dose of contrast agent in contrast-enhanced computed tomography (CT) exa...
Artificial intelligence (AI) is revolutionizing how we practice medicine. In areas where we have traditionally struggled, such as diagnosing endometri...
Magnetic resonance imaging (MRI) is essential in medical diagnostics, but its resolution is often limited by factors such as scan time, signal-to-nois...
BACKGROUND AND PURPOSE: Cerebrovascular reactivity (CVR) is commonly used to estimate hemodynamic impairment. Conventional use is best suited to unila...
BACKGROUND: Precise delineation of non-contrast-enhancing tumor (nCET) in glioblastoma (GB) is critical for maximal safe resection, yet routine imagin...