Comparison of the Artificial Intelligence Versus Traditional Radiographic Interpretation in Detecting Periapical Periodontitis: A Diagnostic Accuracy Study by Bharath Nagareddy, Rohit Vadlamani, Nikhila Reddy Venkannagari, Sulabh Jain, Syed N. Basheer, Sabari Murugesan

“…Objective: To compare the performance of an AI model with that of experienced radiologists in detecting periapical periodontitis using radiographic images. …”
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Cerebral Venous Infarction due to Internal Jugular Vein Thrombosis: A Case Study and Review of Literature by Iroshani Kodikara, Dhanusha Gamage, Janaka Kalubowila

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Nonradiologist Physician Comprehension of Artificial Intelligence Utilization in Medical Imaging in Saudi Arabia by Hassan Ali Alsayegh, Yasser Nasser Asiri

“…Objective: Since the use of AI in radiology has recently improved rapidly and advanced to the implementation phase, health care providers, particularly non-radiologist clinicians, must be aware of the strengths and weaknesses of this technology. …”
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Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays by Pamela G. Anderson, Hannah Tarder-Stoll, Mehmet Alpaslan, Nora Keathley, David L. Levin, Srivas Venkatesh, Elliot Bartel, Serge Sicular, Scott Howell, Robert V. Lindsey, Rebecca M. Jones

“…We trained and tested the AI system on a large dataset, assessed generalizability on publicly available data, and evaluated radiologist and non-radiologist physician accuracy when unaided and aided by the AI system. …”
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A Case of Postsurgical Necrotizing Fasciitis Invading the Rectus Abdominis Muscle and Review of the Literature by Francesco Carbonetti, Antonio Cremona, Marco Guidi, Valentina Carusi

“…Due to the high fatal potential of the disease complications, the radiologist should distinguish necrotizing fasciitis from the most common soft tissue infections, in order to permit a prompt surgical and medical treatment. …”
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FRACTIONAL ANISOTROPY AND MEAN DIFFUSIVITY VALUE IN 2ND GRADE OF DEGENERATIVE CERVICAL CANAL STENOSIS by Hans Cendikiawan, Sri Andreani Utomo

“…It means that radiologist need a new parameter to make an early detection for spinal cord injury (SCI). …”
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Measurements of Epidural Space Depth Using Preexisting CT Scans Correlate with Loss of Resistance Depth during Thoracic Epidural Catheter Placement by Nathaniel H. Greene, Benjamin G. Cobb, Ken F. Linnau, Christopher D. Kent

“…Additionally, the ability of anesthesiologists to measure this distance was compared to a radiologist, who specializes in spine imaging. Results. …”
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Evaluating physician concordance in interpretation of tracheobronchomalacia diagnosis and phenotyping using dynamic expiratory chest computed tomography by G. A. Cortes-Puentes, M. Matatko, B. J. Bartholmai, E. S. Edell, K. G. Lim

“…Three specialists—a thoracic radiologist, a bronchoscopist, and a pulmonologist—reviewed identical CT scans, blinded to prior interpretations. …”
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Radiographic interpretation using high-resolution Cbct to diagnose degenerative temporomandibular joint disease. by Jonas Bianchi, João Roberto Gonçalves, Antônio Carlos de Oliveira Ruellas, Júlia Vieira Pastana Bianchi, Lawrence M Ashman, Marilia Yatabe, Erika Benavides, Fabiana Naomi Soki, Lucia Helena Soares Cevidanes

“…An American Board of Oral and Maxillofacial Radiology certified radiologist and a maxillofacial radiologist used the DC/TMD imaging criteria to evaluate the radiographic findings, followed by a consensus of the radiographic evaluation. …”
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“Navigating growth challenges: A case study of radiation-induced growth retardation” by Ramya Selvam, Manjit Kour Mehta, Sivakumar N, Abhisek Bhattacharjee, Heena Agrawal, Shaleen Chandra

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Evaluation of Radiomorphometric Indices of Panoramic Images of Mandible to Estimate Gender and Approximate Age by Seyed Hosein Razavi, Ali Drafshi, Fatemeh Ezoddini, Khalil Sarikhani, Mohammad Khodabakhsh

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MRI of the cervical nerve roots in the diagnosis of chronic inflammatory demyelinating polyradiculoneuropathy: a single-institution, retrospective case–control study by Toshihiko Suenaga, Kanta Tanaka, Nobuyuki Mori, Yusuke Yokota

“…Statistical analyses were performed to determine the diagnostic accuracy of the diameters and nerve-to-muscle CNRs. Another radiologist reviewed MRI for ensuring reproducibility.Results The root diameters showed no significant differences between the patients with CIDP and control patients. …”
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Peripheral Arteriovenous Malformation Embolization Using Squid by Saima Ahmad, Moeez Uddin

“…Squid may be the preferred embolic agent in any interventional radiologist’s armamentarium as it offers formulations with varying viscosities (squid-18 and squid-12). …”
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Postoperative Magnetic Resonance Imaging following Arthroscopic Primary Anterior Cruciate Ligament Repair by Jelle P. van der List, Douglas N. Mintz, Gregory S. DiFelice

“…Mean age was 30 years (range: 14–57 years), and mean surgery-MRI interval was 1.5 years (range: 0.1–4.9 years). The radiologist recognized 6 out of 8 reruptures and 26 out of 29 intact ligaments (sensitivity 75%, specificity 90%, and accuracy 86%). …”
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Diagnosis and Classification of Tuberculosis Chest X-ray Images of Children Less Than 15 years at Mbarara Regional Referral Hospital Using Deep Learning. by Kawuma, Simon, Kumbakumba, Elias, Mabirizi, Vicent, Nanjebe, Deborah, Mworozi, Kenneth, Mukama, Adolf Oyesigye, Kyasimire, Lydia

“…We hope that once the deep learning models are implemented and adopted by the radiologist, it will reduce the time spent by radiologist while analysing CXR images.…”
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Colonic Tuberculosis Clinically Misdiagnosed as Anorexia Nervosa and Radiologically and Histopathologically as Crohn’s Disease by Tariq A Madani

“…Double contrast barium enema showed strictures, and ulcerations of the cecum and ascending colon with a skip area. The radiologist believed that these findings were due to Crohn's disease. …”
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Estimating the Severity of Oral Lesions Via Analysis of Cone Beam Computed Tomography Reports: A Proposed Deep Learning Model by Sare Mahdavifar, Seyed Mostafa Fakhrahmad, Elham Ansarifard

“…The primary aim of this study was to distinguish between high-risk and low-risk oral lesions according to the radiologist's reports of cone beam computed tomography (CBCT) images. …”
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A Structured, Anatomy-Based Chest CT Interpretation Curriculum for Pulmonary Fellows Covering the Main Patterns of Parenchymal Lung Disease by Laura Granados, Julie Takasugi, James Town, Rosemary Adamson

“…Methods We assembled a team of two pulmonologists, one radiologist, and a fellow with computer drafting software experience. …”
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Controversies in the Application of AI in Radiology—Is There Medico-Legal Support? Aspects from Romanian Practice by Ana-Maria Ungureanu, Sergiu-Ciprian Matei, Daniel Malita

“…In radiology, where diagnoses are based on collaboration between diagnostic devices and the professional experience of radiologists, AI intervention seems much easier than in other fields, but this is often not the case. …”
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Caseous Calcification of the Mitral Annulus: A Rare Cause of Intracardiac Mass by Anxo Martinez-de-Alegria, Jose Rubio-Alvarez, Sandra Baleato-Gonzalez

“…Caseous calcification of the mitral annulus is a rare form of periannular calcification with a mass-like appearance, that has to be in the differential of the cardiologist and radiologist. It classically looks like a round or semilunar hyperdense mass with an even denser peripheral rim, located in the posterior mitral annulus and having in general no clinical significance.…”
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