AIMC Topic: Sensitivity and Specificity
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Segmentation of the nasopalatine canal and detection of canal furcation status with artificial intelligence on cone-beam computed tomography images.
Oral radiology
Feb 28, 2025
OBJECTIVES: The nasopalatine canal (NPC) is an anatomical formation with varying morphology. NPC can be visualized using the cone-beam computed tomography (CBCT). Also, CBCT has been used in many studies on artificial intelligence (AI). The "You only...
Toward a rapid, sensitive, user-friendly, field-deployable artificial intelligence tool for enhancing African swine fever diagnosis and reporting.
American journal of veterinary research
Feb 28, 2025
OBJECTIVE: African swine fever (ASF) is a lethal and highly contagious transboundary animal disease with the potential for rapid international spread. Lateral flow assays (LFAs) are sometimes hard to read by the inexperienced user, mainly due to the ...
ScreenDx, an artificial intelligence-based algorithm for the incidental detection of pulmonary fibrosis.
The American journal of the medical sciences
Feb 27, 2025
BACKGROUND: Nonspecific symptoms and variability in radiographic reporting patterns contribute to a diagnostic delay of the diagnosis of pulmonary fibrosis. An attractive solution is the use of machine-learning algorithms to screen for radiographic f...
Development and validation of a machine learning approach for screening new leprosy cases based on the leprosy suspicion questionnaire.
Scientific reports
Feb 26, 2025
Leprosy is a dermatoneurological disease and can cause irreversible nerve damage. In addition to being able to mimic different rheumatological, neurological and dermatological diseases, leprosy is underdiagnosed because several professionals present ...
Artificial intelligence for osteoporosis detection on panoramic radiography: A systematic review and meta analysis.
Journal of dentistry
Feb 25, 2025
INTRODUCTION: Osteoporosis is a disease characterized by low bone mineral density and an increased risk of fractures. In dentistry, mandibular bone morphology, assessed for example on panoramic images, has been employed to detect osteoporosis. Artifi...
Impact of an artificial intelligence decision support system among radiologists with different levels of experience in breast ultrasound: A prospective study in a tertiary center.
European journal of radiology
Feb 25, 2025
PURPOSE: To assess the impact of an artificial intelligence decision support system (Koios DS) on the diagnostic performance of radiologists with different experience in breast ultrasound and to evaluate its potential to reduce unnecessary biopsies.
Continuous non-contact monitoring of neonatal activity.
BMC pediatrics
Feb 25, 2025
PURPOSE: Neonatal activity is an important physiological parameter in the neonatal intensive care unit (NICU). The degree of neonatal activity is associated with under and over-sedation and may also indicate the onset of disease. Activity may also ca...
Artificial Intelligence in CT for Predicting Cervical Lymph Node Metastasis in Papillary Thyroid Cancer Patients: A Meta-analysis.
Academic radiology
Feb 24, 2025
PURPOSE: This meta-analysis aims to evaluate the diagnostic performance of CT-based artificial intelligence (AI) in diagnosing cervical lymph node metastasis (LNM) of papillary thyroid cancer (PTC).
Predictive utility of the machine learning algorithms in predicting tendinopathy: a meta-analysis of diagnostic test studies.
European journal of orthopaedic surgery & traumatology : orthopedie traumatologie
Feb 22, 2025
BACKGROUND: Tendinopathy, a degenerative condition of tendon collagen protein, is a common sports injury among elite athletes. Despite its prevalence, the manifestation and progression of tendinopathy remain unclear, and the efficiency of diagnosis a...
Integrating blockchain technology with artificial intelligence for the diagnosis of tibial plateau fractures.
European journal of trauma and emergency surgery : official publication of the European Trauma Society
Feb 21, 2025
PURPOSE: The application of artificial intelligence (AI) in healthcare has seen widespread implementation, with numerous studies highlighting the development of robust algorithms. However, limited attention has been given to the secure utilization of...
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