medical photography
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Author(s):  
Ioulios Palamaras ◽  
Helen Wark ◽  
Billy Short ◽  
Omair Akhtar Hameed ◽  
Adil Ahmed Sheraz ◽  
...  

Author(s):  
Shahin Bastaninejad ◽  
Ardavan Tajdini ◽  
Yasaman Rezaie

AbstractLateral crural cephalic malposition (LCCM) is a well-known deformity of the nasal tip which contributes to functional disturbances of the external nasal valve. Accurate diagnosis of this deformity helps surgeons plan for better outcomes. A total of 176 candidate patients for primary rhinoplasty underwent standard 2D medical photography of the face. Senior authors analyzed photography results and differentiated the patients with LCCM. In addition, we measured the angle between the dorsal septum and lateral end of the long axis of the alar cartilage in the operation room. Ninety-five patients were diagnosed with LCCM on photography. As much as 31.3% (55) of all the patients had LCCM in intraoperative measurements. The sensitivity and specificity of 2D photography for diagnosing LCCM were 0.7924 and 0.5391, respectively. The main surgical techniques for correction of LCCM were alar repositioning (34.3% in total, 56% in LCCM patients) and lateral crural strut graft (43.8% in total, 69% in LCCM patients). LCCM is overdiagnosed via 2D photography, and this method lacks sensitivity. The overall frequency of LCCM seems to be lower than the previously reported frequency. For optimal results in rhinoplasty, surgeons must focus on the best contouring and function rather than solely correcting angles and rotations.


Author(s):  
Saikat Samaddar ◽  
Amit Bikram Maiti ◽  
Sangita Bhattacharya Samaddar ◽  
Bubay Mondal ◽  
Saumendra Nath Bandyopadhyay
Keyword(s):  

Author(s):  
Vamsi Krishna Mekala

Diabetic retinopathy are among the most common causes of vision loss in today's world. Visual impairment impacts about one in 3 diabetics, according to an epidemiological research. Diagnostic imaging is an important aspect of medical photography in contemporary world. Deep learning improves the eyesight for identifying illness in radiography. The goal is to use machine learning to diagnose vision loss. Deep learning in diagnostic devices might improve and speed up the diagnosis of sugar-related vision loss. This research will look at neural network models, algorithms, and simulations in order to diagnose diabetic retinopathy rapidly and help the medical system. The classifier is constructed using CNN.


2021 ◽  
Vol 1 ◽  
pp. 43
Author(s):  
Paola Pasquali ◽  
Feroze Kaliyadan

Photography of skin lesions has always been among the most popular non-invasive imaging techniques, one that assists in documenting and monitoring as well as teaching and research. Its importance has become more apparent in the past year with the COVID-19 pandemic and the sudden widespread use of teledermatology. Basic concepts of medical photography and using a proper camera are fundamental to obtain good quality images.


2021 ◽  
Author(s):  
William Kim ◽  
Torunn Elise Sivesind

BACKGROUND Medical photography is used extensively in dermatology to record disease progression, measure treatment response, and help teach patients about skin disease; such photos are also commonly utilized in teledermatology, medical education, research, and medical reference websites. Understanding patient perceptions of medical photographs obtained during dermatologic care in the clinic- or hospital- setting is critical to enable the delivery of high-quality, patient-centered medical care. OBJECTIVE The aim of this study was to elucidate patient perceptions of skin photos in dermatology, and to explore possible next steps in improving the patient experience of medical photography in the hospital- or clinic- setting. METHODS A scoping review of the literature was performed using the PubMed database, with clinic- or hospital- based full-text publications in English spanning the last ten years considered for inclusion. RESULTS The majority of included studies (n=10/11, 91%) found positive patient attitudes toward medical photographs. The majority of patients (n=1197/1511, 79.2%) felt that medical photographs could improve medical care in the clinic setting. Written consent detailing all photo uses, including secondary uses (such as research or teaching), was preferred apart from one study. Patients preferred or found it acceptable for the photographer of their medical photos to be a physician (n=1301/1444, 90.1%). Clinic-owned cameras with departmental record storage were the preferred modality. Latinx and African-American patients expressed less trust in the utility of medical photographs to improve care, compared to Asian and White patients. Study limitations include the minimal number of available publications on this topic and the inclusion of articles older than five years are limitations, since patient perceptions of medical photography may have rapidly changed during this time span, particularly in light of the COVID-19 pandemic and the subsequent increase in teledermatology visits. CONCLUSIONS Patients reported positive perceptions of dermatologic photography for improving their medical care. Ethnic disparities in patient perceptions require further exploration to better elucidate nuances and develop interventions to improve the experience of marginalized patients. Building patient trust in nonphysician photographers may enhance clinic efficiency. While clinic-owned cameras are well-accepted by patients, improved patient education surrounding the safety of EMR phone applications is needed. CLINICALTRIAL


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