The Role of Artificial Intelligence in Early Diagnosis and Molecular Classification of Head and Neck Skin Cancers: A Multidisciplinary Approach.

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.

Rule based fuzzy logic approach for classification of fibromyalgia syndrome.

Fibromyalgia syndrome (FMS) is a chronic muscle and skeletal system disease observed generally in women, manifesting itself with a widespread pain and impairing the individual's quality of life. FMS diagnosis is made based on the American College of Rheumatology (ACR) criteria. However, recently the employability and sufficiency of ACR criteria are under debate.

The use of mobile smart devices and medical apps in the family practice setting.

Rationale, Aims And Objectives: In this study smartphones/tablet PCs and medical application utilization by family physicians and factors concerning the acceptance of medical application in family practice setting have been studied.

Methods: One hundred seventy-six participants voluntarily agreed to fill out a 27-item questionnaire. Data were analysed with descriptive statistics and eight items (acceptability of utilization of applications) revealed Cronbach's alpha of 0.

Biceps femoris late latency responses and the "notching sign" in spasticity.

Background: Spasticity is a motor impairment due to lesions in the brain and spinal cord. Despite being a well-known problem, difficulties remain in the assessment of the condition. The electrophysiological and kinesiological characteristics of the patellar pendulum changes during the movement triggered by the patellar T reflex could be used to assess spasticity.