scholarly journals The diagnostic accuracy of the mobile phone teledermatoscopy

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Hamza Yildiz ◽  
Memet Ersan Bilgili ◽  
Hasan Aktug Simsek
Keyword(s):  
Mobile Phone ◽  
Cost Effective ◽  
Skin Lesions ◽  
Predictive Values ◽  
Malignant Lesions ◽  
The Mean ◽  
Smart Mobile Phone ◽  
Smart Mobile ◽  
Very High ◽  
Mobile Phone Camera

The positive predictive value (PPV) of smart mobile phone teledermatoscopy is not known. The main purpose of the present study was to investigate the sensitivity and positive predictive values (PPVs) of smart mobile phone teledermatoscopy. Over a period of 6 months, up to three clinical and dermatoscopic images were obtained of 67 skin lesions from 67 patients using a mobile phone camera and standard pocket dermatoscopy device. Out of the 67 patients, 44 were men (65.67%) and 23 were women (34.32%). The mean age of the patients was 39.56 ± 22.19 years (ranging from 18 to 92). The majority of the lesions (71.64%; n=48) were benign, while 11.94% (n=8) of the biopsies were premalignant and 16.41% (n=11) of the lesions were malignant. The sensitivity for the diagnosis of benign, premalignant, and malignant lesions were 93.8%, 100%, and 100%, respectively. PPVs for the diagnosis of benign, premalignant, and malignant lesions were 93.8%, 100%, and 100%, respectively. The sensitivity and PPVs of all lesions were 95.9% and 95.7%. The accuracy of the teledermatoscopic consultation with a mobile phone is very high. We therefore think that it can be a cost effective and useful method in the consultation at distance.

scholarly journals Addition of Flucytosine to Fluconazole for the Treatment of Cryptococcal Meningitis in Africa: A Multicountry Cost-effectiveness Analysis

2019 ◽  
Vol 70 (1) ◽  
pp. 26-29 ◽  
Author(s):  
Tinevimbo Shiri ◽  
Angela Loyse ◽  
Lawrence Mwenge ◽  
Tao Chen ◽  
Shabir Lakhi ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Cost Effectiveness ◽  
Cryptococcal Meningitis ◽  
Cost Effective ◽  
Immunodeficiency Virus ◽  
The Mean ◽  
The Cost ◽  
The Impact ◽  
Costing Analysis ◽  
Very High

Abstract Background Mortality from cryptococcal meningitis remains very high in Africa. In the Advancing Cryptococcal Meningitis Treatment for Africa (ACTA) trial, 2 weeks of fluconazole (FLU) plus flucytosine (5FC) was as effective and less costly than 2 weeks of amphotericin-based regimens. However, many African settings treat with FLU monotherapy, and the cost-effectiveness of adding 5FC to FLU is uncertain. Methods The effectiveness and costs of FLU+5FC were taken from ACTA, which included a costing analysis at the Zambian site. The effectiveness of FLU was derived from cohorts of consecutively enrolled patients, managed in respects other than drug therapy, as were participants in ACTA. FLU costs were derived from costs of FLU+5FC in ACTA, by subtracting 5FC drug and monitoring costs. The cost-effectiveness of FLU+5FC vs FLU alone was measured as the incremental cost-effectiveness ratio (ICER). A probabilistic sensitivity analysis assessed uncertainties and a bivariate deterministic sensitivity analysis examined the impact of varying mortality and 5FC drug costs on the ICER. Results The mean costs per patient were US $847 (95% confidence interval [CI] $776–927) for FLU+5FC, and US $628 (95% CI $557–709) for FLU. The 10-week mortality rate was 35.1% (95% CI 28.9–41.7%) with FLU+5FC and 53.8% (95% CI 43.1–64.1%) with FLU. At the current 5FC price of US $1.30 per 500 mg tablet, the ICER of 5FC+FLU versus FLU alone was US $65 (95% CI $28–208) per life-year saved. Reducing the 5FC cost to between US $0.80 and US $0.40 per 500 mg resulted in an ICER between US $44 and US $28 per life-year saved. Conclusions The addition of 5FC to FLU is cost-effective for cryptococcal meningitis treatment in Africa and, if made available widely, could substantially reduce mortality rates among human immunodeficiency virus–infected persons in Africa.

AUTHENTICATION OF FINGERPRINT BIOMETRICS ACQUIRED USING A CELLPHONE CAMERA: A REVIEW

2013 ◽  
Vol 11 (05) ◽  
pp. 1350033 ◽  
Author(s):  
MOHAMMED S. KHALIL ◽  
FAJRI KURNIAWAN ◽  
KASHIF SALEEM
Keyword(s):  
Mobile Phone ◽  
Mobile Phones ◽  
High Performance ◽  
Personal Information ◽  
Current Trend ◽  
Recognition System ◽  
Fingerprint Recognition ◽  
Fingerprint Biometrics ◽  
Smart Mobile Phone ◽  
Smart Mobile

Over the past decade, there have been dramatic increases in the usage of mobile phones in the world. Currently available smart mobile phones are capable of storing enormous amounts of personal information/data. The smart mobile phone is also capable of connecting to other devices, with the help of different applications. Consequently, with these connections comes the requirement of security to protect personal information. Nowadays, in many applications, a biometric fingerprint recognition system has been embedded as a primary security measure. To enable a biometric fingerprint recognition system in smart mobile phones, without any additional costs, a built-in high performance camera can be utilized. The camera can capture the fingerprint image and generate biometric traits that qualify the biometric fingerprint authentication approach. However, the images acquired by a mobile phone are entirely different from the images obtained by dedicated fingerprint sensors. In this paper, we present the current trend in biometric fingerprint authentication techniques using mobile phones and explore some of the future possibilities in this field.

Study and Analysis a Powerful Debug Method for Smart Mobile Systems

2011 ◽  
Vol 130-134 ◽  
pp. 4270-4273
Author(s):  
Jian Guo Yuan ◽  
Sheng Gu
Keyword(s):  
Complex Systems ◽  
Mobile Phone ◽  
Software Package ◽  
Random Access ◽  
Random Access Memory ◽  
Exception Handling ◽  
Mobile Systems ◽  
Access Memory ◽  
Smart Mobile Phone ◽  
Smart Mobile

When dealing with such complex systems such as the software package of a smart mobile phone, it is necessary to apply powerful methods to detect and report errors when they occur. This paper probes and analyzes a powerful debug method called trap and exception handling, which is supported by the ARM platforms. The method can easily capture some valuable debug information. When a fatal error occurs during runtime or system detects an abnormal, a trap or an exception shall be logged and stored in the non-volatile random access memory (NVRAM). The information must be enough and easy for engineer to analyze the software error.

Stereovision Imaging in Smart Mobile Phone Using Add on Prisms

3D Research ◽  
2014 ◽  
Vol 5 (1) ◽  
Author(s):  
Jonathan Bar-Magen Numhauser ◽  
Zeev Zalevsky
Keyword(s):  
Mobile Phone ◽  
Smart Mobile Phone ◽  
Smart Mobile
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