AIMC Topic: Sensitivity and Specificity
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Diagnostic Accuracy of IDX-DR for Detecting Diabetic Retinopathy: A Systematic Review and Meta-Analysis.
American journal of ophthalmology
Feb 20, 2025
PURPOSE: Diabetic retinopathy (DR) is a leading cause of vision loss worldwide, making early detection critical to prevent blindness. IDX-DR, an FDA-approved autonomous artificial intelligence (AI) system, has emerged as an innovative solution to imp...
Development of a Machine-Learning Algorithm to Identify Cauda Equina Compression on Magnetic Resonance Imaging Scans.
World neurosurgery
Feb 20, 2025
OBJECTIVE: Cauda equina syndrome (CES) poses significant neurological risks if untreated. Diagnosis relies on clinical and radiological features. As the symptoms are often nonspecific and common, the diagnosis is usually made after a magnetic resonan...
Impact of deep learning on pediatric elbow fracture detection: a systematic review and meta-analysis.
European journal of trauma and emergency surgery : official publication of the European Trauma Society
Feb 20, 2025
OBJECTIVES: Pediatric elbow fractures are a common injury among children. Recent advancements in artificial intelligence (AI), particularly deep learning (DL), have shown promise in diagnosing these fractures. This study systematically evaluated the ...
AI detectors are poor western blot classifiers: a study of accuracy and predictive values.
PeerJ
Feb 20, 2025
The recent rise of generative artificial intelligence (AI) capable of creating scientific images presents a challenge in the fight against academic fraud. This study evaluates the efficacy of three free web-based AI detectors in identifying AI-genera...
Detection of Ocular Surface Squamous Neoplasia Using Artificial Intelligence With Anterior Segment Optical Coherence Tomography.
American journal of ophthalmology
Feb 19, 2025
PURPOSE: To develop and validate a deep learning (DL) model to differentiate ocular surface squamous neoplasia (OSSN) from pterygium and pinguecula using high-resolution anterior segment optical coherence tomography (AS-OCT).
Male
Middle Aged
Deep Learning
Anterior Eye Segment
Corneal Diseases
Diagnosis, Differential
Tomography, Optical Coherence
Aged, 80 and over
Humans
Adult
Artificial Intelligence
Sensitivity and Specificity
Carcinoma, Squamous Cell
Pterygium
Retrospective Studies
Reproducibility of Results
Conjunctival Neoplasms
Female
Aged
Automated identification of incidental hepatic steatosis on Emergency Department imaging using large language models.
Hepatology communications
Feb 19, 2025
BACKGROUND: Hepatic steatosis is a precursor to more severe liver disease, increasing morbidity and mortality risks. In the Emergency Department, routine abdominal imaging often reveals incidental hepatic steatosis that goes undiagnosed due to the ac...
A deep learning detection method for pancreatic cystic neoplasm based on Mamba architecture.
Journal of X-ray science and technology
Feb 18, 2025
OBJECTIVE: Early diagnosis of pancreatic cystic neoplasm (PCN) is crucial for patient survival. This study proposes M-YOLO, a novel model combining Mamba architecture and YOLO, to enhance the detection of pancreatic cystic tumors. The model addresses...
Accuracy of artificial intelligence in detecting tumor bone metastases: a systematic review and meta-analysis.
BMC cancer
Feb 18, 2025
BACKGROUND: Bone metastases (BM) represent a prevalent complication of tumors. Early and accurate diagnosis, however, is a significant hurdle for radiologists. Recently, artificial intelligence (AI) has emerged as a valuable tool to assist radiologis...
Diagnosis of Benign and Malignant Newly Developed Nodules on the Surgical Side After Breast Cancer Surgery Based on Machine Learning.
The breast journal
Feb 17, 2025
To enhance the diagnostic accuracy of new nodules on the surgical side after breast cancer surgery using machine learning techniques and to explore the role of multifeature fusion. Data from 137 breast cancer postoperative patients with new nodules...
Breaking barriers: noninvasive AI model for BRAF mutation identification.
International journal of computer assisted radiology and surgery
Feb 15, 2025
OBJECTIVE: BRAF is the most common mutation found in thyroid cancer and is particularly associated with papillary thyroid carcinoma (PTC). Currently, genetic mutation detection relies on invasive procedures. This study aimed to extract radiomic featu...
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