Model Dermatol – Skin Disease

IDerma

Kuhusu programu hii

Akili Bandia huchanganua picha iliyotolewa na kukusaidia papo hapo kutambua tatizo la ngozi yako. Ujuzi wa Bandia hutoa habari muhimu ya matibabu juu ya magonjwa ya ngozi (kwa mfano, upele wa ngozi, wart, mizinga) na saratani ya ngozi (kwa mfano, melanoma).

- Piga picha za ngozi na uwasilishe. Picha zilizopunguzwa zinahamishwa, lakini hatuhifadhi data yako.
- Akili Bandia hutoa viungo kwa tovuti zinazoelezea ishara na dalili zinazofaa za ugonjwa wa ngozi na saratani ya ngozi (k.m. melanoma).
- Algorithm inaweza kuainisha picha za magonjwa 186 ya ngozi, ikiwa ni pamoja na aina za kawaida za matatizo ya ngozi (kwa mfano, ugonjwa wa atopic, hive, eczema, psoriasis, acne, rosasia, onychomycosis, melanoma, nevus).
- Matumizi ya algoriti ni bure na jumla ya lugha 104 zinatumika.

* Uchapishaji
Tunatumia algorithm ya "Model Dermatology". Utendaji wa mainishaji umechapishwa katika majarida kadhaa ya kifahari ya matibabu.
- 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

*Kanusho
- Tafadhali tafuta ushauri wa daktari pamoja na kutumia programu hii na kabla ya kufanya maamuzi yoyote ya matibabu.
- Utambuzi wa saratani ya ngozi au ugonjwa wa ngozi kulingana na picha za kliniki pekee unaweza kukosa hadi 10% ya kesi. Kwa hivyo, programu hii haiwezi kuchukua nafasi ya utunzaji wa kawaida (uchunguzi wa ana kwa ana).
- Utabiri wa algorithm sio utambuzi wa mwisho wa saratani ya ngozi au shida ya ngozi. Inatumika tu kutoa maelezo ya matibabu ya kibinafsi kwa ajili ya kumbukumbu