AIMC Topic: Sensitivity and Specificity
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A Deep Learning-Based Framework for Predicting Intracerebral Hematoma Expansion Using Head Non-contrast CT Scan.
Academic radiology
Aug 5, 2024
RATIONALE AND OBJECTIVES: Hematoma expansion (HE) in intracerebral hemorrhage (ICH) is a critical factor affecting patient outcomes, yet effective clinical tools for predicting HE are currently lacking. We aim to develop a fully automated framework b...
Automated detection and classification of mandibular fractures on multislice spiral computed tomography using modified convolutional neural networks.
Oral surgery, oral medicine, oral pathology and oral radiology
Aug 5, 2024
OBJECTIVE: To evaluate the performance of convolutional neural networks (CNNs) for the automated detection and classification of mandibular fractures on multislice spiral computed tomography (MSCT).
Machine learning-enabled detection of attention-deficit/hyperactivity disorder with multimodal physiological data: a case-control study.
BMC psychiatry
Aug 5, 2024
BACKGROUND: Attention-Deficit/Hyperactivity Disorder (ADHD) is a multifaceted neurodevelopmental psychiatric condition that typically emerges during childhood but often persists into adulthood, significantly impacting individuals' functioning, relati...
Linked Color Imaging with Artificial Intelligence Improves the Detection of Early Gastric Cancer.
Digestive diseases (Basel, Switzerland)
Aug 5, 2024
INTRODUCTION: Esophagogastroduodenoscopy is the most important tool to detect gastric cancer (GC). In this study, we developed a computer-aided detection (CADe) system to detect GC with white light imaging (WLI) and linked color imaging (LCI) modes a...
Performance of AI for preoperative CT assessment of lung metastases: Retrospective analysis of 167 patients.
European journal of radiology
Aug 3, 2024
OBJECTIVES: To evaluate the performance of artificial intelligence (AI) in the preoperative detection of lung metastases on CT.
Evaluation of multiple deep neural networks for detection of intracranial dural arteriovenous fistula on susceptibility weighted angiography imaging.
The neuroradiology journal
Aug 1, 2024
BACKGROUND: The natural history of intracranial dural arteriovenous fistula (DAVF) is variable and early diagnosis is crucial in order to positively impact the clinical course of aggressive DAVF. Artificial intelligence (AI) based techniques can be p...
Interpretation of acid-base metabolism on arterial blood gas samples via machine learning algorithms.
Irish journal of medical science
Aug 1, 2024
BACKGROUND: Arterial blood gas evaluation is crucial for critically ill patients, as it provides essential information about acid-base metabolism and respiratory balance, but evaluation can be complex and time-consuming. Artificial intelligence can p...
Diagnostic Accuracy of Artificial Intelligence Compared to Biopsy in Detecting Early Oral Squamous Cell Carcinoma: A Systematic Review and Meta Analysis.
Asian Pacific journal of cancer prevention : APJCP
Aug 1, 2024
OBJECTIVE: To summarize and compare the existing evidence on diagnostic accuracy of artificial intelligence (AI) models in detecting early oral squamous cell carcinoma (OSCC).
Artificial Intelligence for Early Detection of Pediatric Eye Diseases Using Mobile Photos.
JAMA network open
Aug 1, 2024
IMPORTANCE: Identifying pediatric eye diseases at an early stage is a worldwide issue. Traditional screening procedures depend on hospitals and ophthalmologists, which are expensive and time-consuming. Using artificial intelligence (AI) to assess chi...
Diagnostic accuracy of artificial intelligence assisted clinical imaging in the detection of oral potentially malignant disorders and oral cancer: a systematic review and meta-analysis.
International journal of surgery (London, England)
Aug 1, 2024
BACKGROUND: The objective of this study is to examine the application of artificial intelligence (AI) algorithms in detecting oral potentially malignant disorders (OPMD) and oral cancerous lesions, and to evaluate the accuracy variations among differ...
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