Latest AI and machine learning research in radiology for healthcare professionals.
Brain age estimation using machine learning has gained significant attention as a promising approach...
PURPOSE: PET images often make small lesions difficult to identify because of noise and system blur....
OBJECTIVE: Deep Learning has shown promise in accelerating MRI by reconstructing high-quality images...
OBJECTIVES: Great saphenous vein (GSV) incompetence is common, but numerous treatment options compli...
RATIONALE AND OBJECTIVES: MRI-proton density fat fraction (MRI-PDFF) is widely applied in clinical p...
Post-mortem computed tomography (PMCT) has become an increasingly important tool in cetacean strandi...
INTRODUCTION: The chorionic bump (CB) is a rare sonographic finding defined as an irregular protrusi...
Automated identification of urinary system diseases on non-contrast computed tomography (NCCT) can f...
BACKGROUND: PET/MR combines molecular and functional imaging but faces challenges such as prolonged ...
BACKGROUND: Diagnosing breast cancer with mammography continues to be an incidentally challenging pr...
OBJECTIVE: To develop and validate a multiparametric MRI-based radiomics model for noninvasive preop...
BACKGROUND: Hashimoto's thyroiditis (HT) is the most common autoimmune thyroid disorder, often diagn...
The diagnostic image quality of positron emission tomography (PET) acquisitions strongly depends on ...
PURPOSE: To evaluate the feasibility of a locally deployable large language model (LLM) system for a...
Computer-assisted diagnostic tools may help improve the consistency and reliability of ultrasonograp...
BACKGROUND: Skin neglected tropical diseases (NTDs) pose significant diagnostic and management chall...
Despite remarkable advances in transplant pathology, molecular diagnostics, imaging, and biomarker d...
RATIONALE AND OBJECTIVES: To develop and validate an interpretable, multimodal, ultrasound-based mac...
Retinal detachment (RD) is a vision-threatening condition that requires prompt intervention to prese...
OBJECTIVES: This study examines AI's capacity to mitigate noise-related diagnostic errors, evaluates...
Accurate organ weight determination is essential in forensic autopsy. Postmortem computed tomography...