Model Dermatol – Skin Disease APK 14.9.75 - Gratis aflaai
Laas opgedateer: 15 Sep 2024
Toepinligting
Verskaf persoonlike inligting oor velkanker en velsiekte
Toepnaam: Model Dermatol – Skin Disease
Aansoek ID: com.phonegap.whichderm
Gradering: 4.4 / 3.29 Duisend+
Outeur: Iderma international Inc.
Toepgrootte: 15.23 MB
Gedetailleerde beskrywing
Kunsmatige intelligensie skandeer die gegewe foto en help dadelik met jou velprobleem. Kunsmatige intelligensie verskaf relevante mediese inligting oor velsiekte (bv. veluitslag, wrat, korf) en velkanker (bv. melanoom). Kunsmatige intelligensie gee ook inligting oor die toepaslike dermatologiekliniek. "Model Dermatology" word gereguleer as 'n mediese toestel (🞹 CE-MDR Klas I). Die prestasie van die algoritme is in verskeie gesogte mediese joernale gepubliseer.◉ Neem velfoto's en dien in.
◉ "Model Dermatology" sal relevante inligting oor dermatologieklinieke, velsiekte en velkanker verskaf. Kunsmatige intelligensie verskaf persoonlike skakels na webwerwe wat die tekens en simptome van velsiekte en velkanker (bv. melanoom) beskryf.
◉ Die algoritme kan 184 velsiektes klassifiseer wat algemene tipes velafwykings insluit (bv. atopiese dermatitis, korwe, ekseem, psoriase, aknee, rosacea, onychomycosis, melanoom, nevus).
◉ Die ingestuurde beelde en metadata (bv. jeuk, pyn, aanvang) word oorgedra, maar ons stoor nie jou data nie.
◉ Die gebruik van die algoritme is gratis en 'n totaal van 104 multi-tale word ondersteun.
🞹 Publikasie
- Assessment of Deep Neural Networks for the Diagnosis of Benign and Malignant Skin Neoplasms in Comparison with Dermatologists: A Retrospective Validation Study. PLOS Medicine, 2020
- Performance of a deep neural network in teledermatology: a single center prospective diagnostic study. J Eur Acad Dermatol Venereol. 2020
- Keratinocytic Skin Cancer Detection on the Face using Region-based Convolutional Neural Network. JAMA Dermatol. 2019
- Seems to be low, but is it really poor? : Need for Cohort and Comparative studies to Clarify Performance of Deep Neural Networks. J Invest Dermatol. 2020
- Multiclass Artificial Intelligence in Dermatology: Progress but Still Room for Improvement. J Invest Dermatol. 2020
- Augment Intelligence Dermatology : Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders. J Invest Dermatol. 2020
- Interpretation of the Outputs of Deep Learning Model trained with Skin Cancer Dataset. J Invest Dermatol. 2018
- Automated Dermatological Diagnosis: Hype or Reality? J Invest Dermatol. 2018
- Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm. J Invest Dermatol. 2018
- Augmenting the Accuracy of Trainee Doctors in Diagnosing Skin Lesions Suspected of Skin Neoplasms in a Real-World Setting: A Prospective Controlled Before and After Study. PLOS One, 2022
- Evaluation of Artificial Intelligence-assisted Diagnosis of Skin Neoplasms – a single-center, paralleled, unmasked, randomized controlled trial. J Invest Dermatol. 2022
🞹 Vrywaring
- Soek asseblief 'n dokter se advies bykomend tot die gebruik van hierdie toepassing en voordat u enige mediese besluite neem.
- Altesaam 10% van gevalle van velkanker kan gemis word as die diagnose gemaak is met slegs kliniese beelde. Daarom kan hierdie toepassing nie die rol van standaardsorg (persoonlike ondersoek) vervang nie.
- Die voorspelling van die algoritme is nie die finale diagnose van velkanker of velafwyking nie. Dit dien slegs om persoonlike mediese inligting vir verwysing te verskaf.
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