Dermoscopy Two Step Algorithm
OS :
Version :2.5
Size :219.86Mb
Updated :Dec 5,2020
Developer :Usatine & Erickson Media LLC
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Here are three potential topics that users may discuss about the Dermoscopy Two-Step Algorithm app, turned into questions: 1. How does the app's algorithm improve accuracy in diagnosing skin lesions compared to traditional methods? 2. Are there any specific skin conditions or types of lesions that the app is particularly effective in diagnosing? 3. Can the app be used by non-medical professionals, or is it primarily intended for dermatologists and other medical professionals?
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Pros and Cons from users' feedback
I'd be happy to help you with that! After analyzing the user reviews of the Dermoscopy Two-Step Algorithm app, here are three pros and three cons in 15 words or less: Pros: 1. "Accurate and easy-to-use algorithm for diagnosing skin lesions, even for beginners." 2. "Helpful for medical professionals to improve their dermatoscopy skills and confidence." 3. "User-friendly interface and clear explanations make it accessible to a wide range of users." Cons: 1. "Some users find the app's content and explanations too basic or oversimplified." 2. "Limited scope of conditions covered, may not be comprehensive for all dermatology cases." 3. "Occasional glitches and bugs can cause frustration and affect user experience." Please note that these are general summaries based on
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Description
This app is intended to help you interpret the dermoscopic patterns seen with your dermatoscope. You will be asked a series of questions that will lead you to the most probable diagnosis. This app also contains over 80 photos and charts to help you in your diagnosis. No internet connection needed to view the full app. It is all ready for super quick image and information retrieval. There are also 50 interactive cases to solve. Each case starts with a clinical and dermoscopic image and ends with a labelled dermoscopic image pointing out critical structures. This app is based on the 2 step algorithm with the first step involving the determination of whether the lesion is a melanocytic. Melanocytic lesions will be divided into nevi or lesions with varying levels of suspicion for melanoma based on melanoma specific patterns and common nevi patterns. Non-melanocytic lesions will be analyzed to determine if they are suspicious for basal cell carcinoma or squamous cell carcinoma. Common benign lesions such as dermatofibroma, seborrheic keratoses and hemangiomas will be positively identified to avoid unnecessary biopsies. This app will increase your ability to detect skin cancers with greater accuracy thereby decreasing unnecessary biopsies and missing less early melanomas and nonmelanoma skin cancers. Check out https://usatinemedia.com to learn more and watch a video demo of this app narrated by Dr. Richard P. Usatine. Authors: Ashfaq A. Marghoob, MD Memorial Sloan-Kettering Cancer Center New York, New York Richard P. Usatine, MD University of Texas Health Science Center San Antonio, Texas Natalia Jaimes, MD Aurora Skin Cancer Center and Universidad Pontificia Bolivariana Medellin, Colombia To learn more dermoscopy from these authors, see www.americandermoscopy.com. Disclaimer: This app is intended for the education of healthcare professionals and not as a diagnostic and treatment reference for the general population. Disclaimer: While this app may help you in rendering a correct diagnosis, it is not intended to entirely replace the findings on patient history and physical examination including examination of the lesion with side lighting and touch. The final diagnosis rests on properly assimilating the information gained from the patient history, thorough naked eye physical examination, and meticulous dermoscopic inspection of the lesion. 3Gen, Inc. is the sponsor of this app. Visit www.dermlite.com to see their complete line of skin imaging devices. Developed by Usatine Media Richard P. Usatine, MD, Co-President, Professor of Family & Community Medicine, Professor of Dermatology and Cutaneous Surgery, University of Texas Health San Antonio Peter Erickson, Co-President, Lead Software Developer
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