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A total of 5014 patients were evaluated by the m-health app and the results compared against dermatologist diagnosis. The app demonstrated an overall top-1 accuracy of 76.93 +/- 0.88% and a mean area-under-curve of 0.95 +/- 0.02. (...) The app’s analysis of a single image of the lesion was compared to the consensus diagnosis made by two board-certified dermatologists. Only patients, for whom the treating board-cer tified dermatologist was confident of the diagnosis and the diagnosis was cross-verified by another board-certified dermatologist, were included. (...) There needs to be mechanism to capture patient symptomatic, history and other aspects that are typically captured when a patient sees a dermatologist in person. Here are some of the Needs we identified.
Language:English
Score: 1727990 - https://www.itu.int/en/ITU-T/f...ocuments/all/FGAI4H-M-051.docx
Data Source: un
There is great and urgent need to have more dermatologists. However, the outpatient waiting areas of dermatology clinics in provincial hospitals are always overcrowded, and the medical staffs are always working overtime. While the dermatology training of basic-level practitioners, including rural practitioners, community general practitioners, and county dermatologists is not enough. China is a large country with a population of 1.3 billion, while, the number of Chinese dermatologists is only 22000. There is an urgent need for a change of medical-seeking pattern in dermatology to improve the deficiency in number of dermatologists. Thus, it is imperative to standardize the Medical Big Data and Internet+Medical, explore the area of artificial intelligence and promote the new medical-seeking pattern such as Internet+Medical.
Language:English
Score: 1615409.2 - https://www.itu.int/en/ITU-T/f...ocuments/all/FGAI4H-A-012.docx
Data Source: un
There is great and urgent need to have more dermatologists. However, the outpatient waiting areas of dermatology clinics in provincial hospitals are always overcrowded, and the medical staffs are always working overtime. While the dermatology training of basic-level practitioners, including rural practitioners, community general practitioners, and county dermatologists is not enough. China is a large country with a population of 1.3 billion, while, the number of Chinese dermatologists is only 22000. There is an urgent need for a change of medical-seeking pattern in dermatology to improve the deficiency in number of dermatologists. Thus, it is imperative to standardize the Medical Big Data and “Internet + Medicine”, explore the area of artificial intelligence and promote the new medical-seeking pattern.
Language:English
Score: 1516600.6 - https://www.itu.int/en/ITU-T/f...ocuments/all/FGAI4H-C-021.docx
Data Source: un
The framework will change processes by assisting both: general practitioners, in PCU, through a computer vision-based mobile application integrated with the eReferral system; and dermatologists, in HDD, through an AI-powered Risk Prioritization and Decision Support platform, to be included in the eReferral system. (...) The diagnoses were provided by expert dermatologists and dermatopathologists, generating a gold standard groundtruth. (...) The diagnoses were provided by expert dermatologists and dermatopathologists, generating a gold standard groundtruth.
Language:English
Score: 1468660.6 - https://www.itu.int/en/ITU-T/f...ments/all/FGAI4H-B-025-R1.docx
Data Source: un
PROMOTION AND PROTECTION OF ALL HUMAN RIGHTS, CIVIL, POLITICAL, ECONOMIC, SOCIAL AND CULTURAL RIGHTS, INCLUDING THE RIGHT TO DEVELOPMENT : WRITTEN STATEMENT / SUBMITTED BY STANDING VOICE
The Skin Cancer Prevention Programme functions by activating dormant networks of community dermatologists and training them to deliver an outreach service of health information and treatment to people with albinism and their families across Tanzania and Malawi every six months. (...) The national government supports the programme by providing free venue space, covering selected transport costs, assigning supporting personnel, and paying the salaries of programme dermatologists, who are public-sector A/HRC/40/NGO/181 3 employees.
Language:English
Score: 1404176.2 - https://daccess-ods.un.org/acc...pen&DS=A/HRC/40/NGO/181&Lang=E
Data Source: ods
The images have all been annotated by licensed dermatologists. Data Quality The images are by design “in the wild” photos, as these are the best proxies for photos taken by non-professionals under non-clinical conditions using smartphone cameras. Annotation/Label Quality The images have all been annotated by licensed dermatologists. Data Provenance The images have been collected from open sources.
Language:English
Score: 1254778.3 - https://www.itu.int/en/ITU-T/f...ocuments/all/FGAI4H-K-033.docx
Data Source: un
VISIT TO BRAZIL :REPORT OF THE INDEPENDENT EXPERT ON THE ENJOYMENT OF HUMAN RIGHTS BY PERSONS WITH ALBINISM, IKPONWOSA ERO
The Independent Expert found that access to specialized doctors, such as ophthalmologists, dermatologists, paediatricians, oncologists and psychologists, was particularly challenging as they tend to be concentrated in city centres. (...) The Independent Expert was also informed that often, the process of registration with the municipality, requiring an examination from a dermatologist, was too tiresome and complicated to navigate. Many of her interlocutors reported routinely sharing their sunscreen lotion with those who had none, or they used free samples distributed at times by dermatologists or the Association of Persons Living with Albinism in Bahía State.
Language:English
Score: 1253350.4 - https://daccess-ods.un.org/acc...en&DS=A/HRC/46/32/ADD.1&Lang=E
Data Source: ods
In the field of medical image analysis, one of the most publicized studies was by Esteva et al.3, demonstrating the accurate classifi- cation of skin lesions using a deep neural network that was trained on clinical images, and assessing its performance by comparing its classifications to those made by board-certified dermatologists, re- vealing the network had reached human accuracy levels. (...) Wu Y, Schuster M, Chen Z, Le QV, Norouzi M, et al. arXiv:1609.08144. 3. Dermatologist-level classification of skin cancer with deep neural networks. 2017.
Language:English
Score: 1232502.2 - https://www.itu.int/en/ITU-T/A...ments/AI4good_health_brief.pdf
Data Source: un
Tatiana Adașan, Director of CSO “Homecare” Photo: Personal archive So far, 350 tele-consultations for refugees were conducted by doctors of various specializations: family doctor, cardiologist, endocrinologist, surgeon, psychologist, dermatologist. Twenty nurses throughout the country were involved.
Language:English
Score: 1158728 - https://www.undp.org/moldova/n...ugees-lifeline-service-moldova
Data Source: un