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Cancer remains a significant global health concern, with increasing genetic and metabolic irregularities linked to its onset. Among various forms of cancer, skin cancer, including squamous cell carcinoma, basal cell carcinoma, and melanoma, is on the rise worldwide, often triggered by ultraviolet (UV) radiation. The propensity of skin cancer to metastasize highlights the importance of early detection for successful treatment. This narrative review explores the evolving role of artificial intelligence (AI) in diagnosing head and neck skin cancers from both radiological and pathological perspectives. In the past two decades, AI has made remarkable progress in skin cancer research, driven by advances in computational capabilities, digitalization of medical images, and radiomics data. AI has shown significant promise in image-based diagnosis across various medical domains. In dermatology, AI has played a pivotal role in refining diagnostic and treatment strategies, including genomic risk assessment. This technology offers substantial potential to aid primary clinicians in improving patient outcomes. Studies have demonstrated AI's effectiveness in identifying skin lesions, categorizing them, and assessing their malignancy, contributing to earlier interventions and better prognosis. The rising incidence and mortality rates of skin cancer, coupled with the high cost of treatment, emphasize the need for early diagnosis. Further research and integration of AI into clinical practice are warranted to maximize its benefits in skin cancer diagnosis and treatment.

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OBJECTIVE: The present study aimed to evaluate the mandibular bone structure of patients with different malocclusions by using fractal dimension (FD) analysis on dental panoramic radiographic images. MATERIAL AND METHODS: Pre-treatment panoramic radiographic images of 103 patients were included in the study and divided into 3 groups as Class I (group 1: 0

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AIM: Oral malignant melanoma (OMM) is a rare and aggressive malignant tumour arising from the proliferation of melanocytes and accounts for only 0.5 % of all oral malignancies. It is invasive and tends to metastasise. The aim of this study is to determine the patient profile of OMM and to provide information about the clinical features and treatment plans of the disease. MATERIALS AND METHODS: The Pubmed database was searched for OMM cases published as case reports in the last 10 years. The search was limited to English and open-access case reports. A total of 49 OMMs in 45 patients from 43 case reports were analyzed. In addition to the age, gender, smoking and alcohol consumption habits of the patients, data on the signs and symptoms of OMM, location of the lesion, imaging modalities used in diagnosis and treatment, lymph node involvement, presence of metastasis, survival time, and treatment modalities were recorded. RESULTS: In OMM cases, 18 (40 %) of the patients were female, 27 (60 %) were male, and the mean age was 53.13 ± 16.09 years. The most common symptom was "swelling" (n = 23, 33.8 %) and the most common finding was "hyperpigmentation" (n = 40, 24.4 %). The most common site of OMM was the maxilla (n = 21, 46.7 %). According to the rate of use of imaging modalities in the cases, it was determined that "advanced imaging modalities" were mostly used (n = 24, 53.3 %). It was determined that 22.2 % (n = 10) of the patients died within the first 5 years. Combined treatment (n = 21, 46.5 %) were mostly applied to the patients. CONCLUSION: OMM is more common in the maxilla, in males and in the fifth decade of life, and advanced imaging modalities are most commonly used to detect the disease. Because of its poor prognosis, knowing the patient profile and common clinical features of OMM will increase the clinical awareness of physicians.

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OBJECTIVES: This study aimed to determine the prevalence of anterior extensions of the parotid gland (AEPG), namely the accessory parotid gland (APG) and the facial process of the parotid gland (FP), using ultrasonography. STUDY DESIGN: A total of 338 parotid glands were scanned bilaterally. APG was defined as a soft tissue mass with the same echogenic features as the main parotid gland (MPG) and not in contact with it, while FP was defined as an extension that exceeded the anterior border of the mandibular ramus and was continuous with the MPG. The anteroposterior, mediolateral, superoinferior dimensions and the mean distance from the MPG to the APG were measured. RESULTS: The prevalence of APG and FP were 19.5% and 36%, respectively, resulting in an AEPG prevalence of 55.6%. The presence of APG was statistically higher in females than in males (p = 0.039). The mean anteroposterior, mediolateral, and superoinferior dimensions of the APG were 18.1 ± 0.57 mm, 0.35 ± 0.17 mm, and 12.3 ± 0.36 mm, respectively, and the mean distance from the MPG was measured as 12.1 ± 0.87 mm. CONCLUSION: This study can raise awareness among clinicians about the presence of AEPG in the differential diagnosis of mid-cheek masses.

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Mercury, which is found in dental amalgams, is considered to be the most toxic non-radioactive element. However, the health policies of different countries have not reached a consensus on the use and safety of amalgam. This study aims to investigate the effect of amalgam restorations on mercury concentration in saliva, as well as the effect of restoration number, surface number, and chewing on this concentration. A total of 86 participants were included in this study (an equal number for the study and control groups). The number of amalgam restorations and their surfaces were recorded. While both unstimulated and stimulated saliva were collected from the study group, only unstimulated saliva was collected from the control group. The effect of chewing on mercury concentration was examined in the study group with unstimulated and stimulated saliva specimens using inductively coupled plasma mass spectrometry device. Mercury concentration in the unstimulated saliva was found to be higher in the study group compared to the control group (p= 0.000). As the number of amalgam restorations and the number of amalgam restoration surfaces increased, the mercury concentration in the saliva increased (p= 0.015 and p= 0.021, respectively). There was no statistically significant difference between mercury levels in the unstimulated saliva and the stimulated saliva (p=0.316). Chewing presented an insignificant difference in mercury concentration. Given this surprising result, the effect of chewing on mercury concentrations should be explored more extensively in future research.

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