AIMC Topic: Sensitivity and Specificity

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Machine learning demonstrates clinical utility in distinguishing retinoblastoma from pseudo retinoblastoma with RetCam images.

Ophthalmic genetics Jan 20, 2025
BACKGROUND: Retinoblastoma is diagnosed and treated without biopsy based solely on appearance (with the indirect ophthalmoscope and imaging). More than 20 benign ophthalmic disorders resemble retinoblastoma and errors in diagnosis continue to be made...
Machine Learning Female Sensitivity and Specificity Male Infant Child, Preschool Child Diagnosis, Differential Humans Neural Networks, Computer Retinal Neoplasms Retinoblastoma
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Automated post-run analysis of arrayed quantitative PCR amplification curves using machine learning.

Gates open research Jan 20, 2025
BACKGROUND: The TaqMan Array Card (TAC) is an arrayed, high-throughput qPCR platform that can simultaneously detect multiple targets in a single reaction. However, the manual post-run analysis of TAC data is time consuming and subject to interpretati...
Sensitivity and Specificity Real-Time Polymerase Chain Reaction Humans Machine Learning Reproducibility of Results
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AI-based assessment of longitudinal multiple sclerosis MRI: Strengths and weaknesses in clinical practice.

European journal of radiology Jan 18, 2025
OBJECTIVES: In Multiple Sclerosis (MS) cerebral MRI is essential for disease and treatment monitoring. For this purpose, software solutions are available to support the radiologist with image interpretation and reporting of follow up imaging. Aim of ...
Software Brain Female Reproducibility of Results Humans Longitudinal Studies Adult Artificial Intelligence Magnetic Resonance Imaging Sensitivity and Specificity Multiple Sclerosis Male Image Interpretation, Computer-Assisted Middle Aged
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Deep learning-aided diagnosis of acute abdominal aortic dissection by ultrasound images.

Emergency radiology Jan 17, 2025
PURPOSE: Acute abdominal aortic dissection (AD) is a serious disease. Early detection based on ultrasound (US) can improve the prognosis of AD, especially in emergency settings. We explored the ability of deep learning (DL) to diagnose abdominal AD i...
Male Middle Aged Deep Learning Ultrasonography Aortic Aneurysm, Abdominal Acute Disease Female Humans Aortic Dissection Aged Retrospective Studies Dissection, Abdominal Aorta Adult Sensitivity and Specificity
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Clinical evaluation of a multiplex droplet digital PCR for diagnosing suspected bloodstream infections: a prospective study.

Frontiers in cellular and infection microbiology Jan 16, 2025
BACKGROUND: Though droplet digital PCR (ddPCR) has emerged as a promising tool for early pathogen detection in bloodstream infections (BSIs), more studies are needed to support its clinical application widely due to different ddPCR platforms with dis...
Male Aged ROC Curve Humans Bacteria Prospective Studies Molecular Diagnostic Techniques Aged, 80 and over Bacteremia Female Middle Aged Adult Blood Culture DNA, Bacterial Sepsis Sensitivity and Specificity Multiplex Polymerase Chain Reaction
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Artificial intelligence in healthcare applications targeting cancer diagnosis-part II: interpreting the model outputs and spotlighting the performance metrics.

Oral surgery, oral medicine, oral pathology and oral radiology Jan 15, 2025
BACKGROUND: The lack of standardized performance assessment metrics and the inconsistent reporting of results can lead to the presentation of overly optimistic outcomes that fail to accurately represent key aspects of the Machine Learning framework a...
Machine Learning Sensitivity and Specificity Neoplasms Diagnosis, Computer-Assisted Humans Neural Networks, Computer Artificial Intelligence
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Evaluating a clinically available artificial intelligence model for intracranial aneurysm detection: a multi-reader study and algorithmic audit.

Neuroradiology Jan 15, 2025
PURPOSE: We aimed to validate a clinically available artificial intelligence (AI) model to assist general radiologists in the detection of intracranial aneurysm (IA) in a multi-reader multi-case (MRMC) study, and to explore its performance in routine...
Male Middle Aged Cohort Studies Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Cerebral Angiography Intracranial Aneurysm Female Aged Adult Sensitivity and Specificity Humans Artificial Intelligence Algorithms
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Machine learning prediction model for oral mucositis risk in head and neck radiotherapy: a preliminary study.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer Jan 14, 2025
PURPOSE: Oral mucositis (OM) reflects a complex interplay of several risk factors. Machine learning (ML) is a promising frontier in science, capable of processing dense information. This study aims to assess the performance of ML in predicting OM ris...
Risk Factors Aged Aged, 80 and over Adult Machine Learning Algorithms Female Carcinoma, Squamous Cell Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Decision Trees Oropharyngeal Neoplasms Sensitivity and Specificity Male Middle Aged Risk Assessment Humans Stomatitis
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Artificial intelligence performance in ultrasound-based lymph node diagnosis: a systematic review and meta-analysis.

BMC cancer Jan 13, 2025
BACKGROUND AND OBJECTIVES: Accurate classification of lymphadenopathy is essential for determining the pathological nature of lymph nodes (LNs), which plays a crucial role in treatment selection. The biopsy method is invasive and carries the risk of ...
Lymphatic Metastasis Sensitivity and Specificity Humans Ultrasonography Artificial Intelligence Lymphadenopathy Lymph Nodes
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Comparative diagnostic accuracy of ChatGPT-4 and machine learning in differentiating spinal tuberculosis and spinal tumors.

The spine journal : official journal of the North American Spine Society Jan 11, 2025
BACKGROUND: In clinical practice, distinguishing between spinal tuberculosis (STB) and spinal tumors (ST) poses a significant diagnostic challenge. The application of AI-driven large language models (LLMs) shows great potential for improving the accu...
Generative Artificial Intelligence Magnetic Resonance Imaging Diagnosis, Differential Spinal Neoplasms Adult Sensitivity and Specificity Male Middle Aged Tuberculosis, Spinal Retrospective Studies Humans Female Machine Learning Aged Algorithms Young Adult
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