Results 151 to 160 of about 364,377 (337)
Artificial Intelligence in Positioning Between Tooth and Nerve on Panoramic Radiography [PDF]
Eunhye Choi +6 more
openalex +1 more source
ABSTRACT This case report describes the endodontic management of a maxillary central incisor with two roots, representing a rare anatomical variation. A 73‐year‐old female patient presented with a fractured tooth #21 with a carious crown. Pulp sensibility testing using cold spray elicited a sharp and prolonged painful response, consistent with a ...
Mohsen Aminsobhani, Maryam Babaahmadi
wiley +1 more source
ABSTRACT Introduction Intramural ureteral urothelial carcinoma can be difficult to diagnose, especially when presenting without mucosal abnormalities or positive cytology. In such cases, percutaneous biopsy may provide an alternative diagnostic approach.
Akira Ohtsu +9 more
wiley +1 more source
Prevalence of Developmental and Acquired Dental Anomalies on Digital panoramic Radiography in Patients Attending the Dental Faculty of Rasht, Iran [PDF]
Zahra Dalili Kajan +5 more
openalex +1 more source
Psychogenic Nonepileptic Seizures Following Orthognathic Surgery: A Case Report
ABSTRACT Background Psychogenic nonepileptic seizures (PNES) resemble epileptic seizures but are caused by psychological factors. Surgical stress can trigger PNES in patients with mental disorders. Case Presentation A 19‐year‐old woman developed PNES after orthognathic surgery.
Kumiko Kamada +5 more
wiley +1 more source
Introduction: In addition to conventional radiography, several other techniques such as stereoradiography have so far been proposed to determine the position of impacted maxillary canines. The purpose of this study was to evaluate the diagnostic value of
M Abdinian, E Hekmatian, A Haghighat
doaj
Detection of Dens Invaginatus on Panoramic Radiographs Using Deep Learning Algorithms
ABSTRACT Background Dens invaginatus is a developmental dental anomaly characterized by enamel folding into the dental papilla during odontogenesis. Early detection allows for appropriate management and reduces the risk of complex treatments. Aim This study aimed to evaluate the success and reliability of YOLOv5 and YOLOv8 deep learning models with two
Esra Nur Akgül, Burcu Gucyetmez Topal
wiley +1 more source
ABSTRACT Background Multimodal large language models (LLMs) have potential for medical image analysis, yet their reliability for pediatric panoramic radiographs remains uncertain. Aim This study evaluated two multimodal LLMs (OpenAI o1, Claude 3.5 Sonnet) for detecting and counting teeth (including tooth germs) on pediatric panoramic radiographs ...
Yuichi Mine +9 more
wiley +1 more source

