Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: Accurate preoperative assessment of lymph node metastasis (LNM) is crucial for treatment...
OBJECTIVE: This study aims to develop and validate ensemble learning models based on pre-rupture or ...
We present TLPath, a deep learning framework that predicts bulk-tissue telomere length from tissue m...
OBJECTIVE: To investigate the utility of a machine learning model based on MRI radiomics in predicti...
Movement disorders are a frequent yet diagnostically unspecific reason for referral in routine neuro...
OBJECTIVES: To develop and validate a machine learning model integrating ultrasound radiomics and cl...
OBJECTIVE: Collateral circulation is a key determinant of functional outcome after large vessel occl...
OBJECTIVE: Chronic pulmonary embolism (CPE) and chronic thromboembolic pulmonary hypertension (CTEPH...
PURPOSE: Vestibular schwannomas are benign tumors of the cerebellopontine angle that may causesignif...
OBJECTIVE: We used deep learning to generate synthetic, resembling in appearance, iodine-enhanced, m...
Fetal MRI has emerged as a crucial supplement to prenatal ultrasonography in the evaluation of the d...
Zero echo time magnetic resonance imaging is an ultrashort echo time technique that enables computed...
Artificial intelligence (AI) is emerging as a transformative force in radiology, offering the potent...
OBJECTIVES: To develop a Generative Adversarial Network (GAN) for generating virtual T2 fat-suppress...
OBJECTIVES: To assess how disclosing artificial intelligence (AI) results, particularly discordant f...
OBJECTIVES: While large language models (LLMs) have shown promise in medical text analysis, their ap...
BACKGROUND: Iodine-131 (131I) therapy is a cornerstone of nuclear medicine for thyroid diseases and ...
BACKGROUND: Internal cranial structures such as the sphenoid and ethmoid bones, along with their ass...
A significant proportion (45%) of maternal deaths, neonatal deaths, and stillbirths occur during the...
Accurate detection of Parkinson's disease (PD) from structural MRI remains a significant challenge d...
AIM: Artificial intelligence (AI)-assisted compressed sensing (ACS) is a cutting-edge magnetic reson...