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Mehta N, Khan E, Choudhary R, Dholakia D, Goel S, Gupta S. The performance of an artificial intelligence-based computer vision mobile application for the image diagnosis of genital dermatoses: a prospective cross-sectional study. Int J Dermatol 2024; 63:1074-1080. [PMID: 38314623 DOI: 10.1111/ijd.17060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 01/11/2024] [Accepted: 01/16/2024] [Indexed: 02/06/2024]
Abstract
BACKGROUND There is a huge demand-supply gap between the incidence of genital dermatoses (including sexually transmitted infections and non-venereal genital dermatoses) and physicians trained to manage them. OBJECTIVES To find out the performance of an artificial intelligence (AI)-based mobile application in the image diagnosis of genital dermatoses, and to compare it with primary care physicians (PCPs) and dermatologists. METHODS Photos of the genital diseases of consecutive patients presenting to the STD and genital diseases clinic were included. The gold standard diagnosis was established by the consensus of two certified dermatologists after examination and one positive investigation. Image diagnoses by the DermaAId application, two PCPs, and two dermatologists were recorded and compared to the gold standard diagnosis and to each other. RESULTS A total of 257 genital disease images, including 95 (37.0%) anogenital warts, 60 (22.2%) lichen sclerosus, 20 (7.8%) anogenital herpes, 15 (5.8%) tinea cruris, 14 (5.4%) molluscum contagiosum, 9 (3.5%) candidiasis, 8 (3.1%) scabies, 6 (2.3%) squamous cell carcinomas, were included. The top-1 correct diagnosis rate of the application was 68.9%, compared to the 50.4% of the PCPs and 73.2% of the dermatologists. The application significantly outperformed PCPs with regard to the correlation with the gold standard diagnosis (P < 0.0001), and matched that of the dermatologists. CONCLUSIONS AI-based image diagnosis platforms can potentially be a low-cost rapid decision support tool for PCPs, integrated with syndromic management programs and direct-to-consumer services, and address healthcare inequities in managing genital dermatoses.
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Affiliation(s)
- Nikhil Mehta
- Department of Dermatology and Venereology, All India Institute of Medical Sciences, New Delhi, India
| | - Ejaz Khan
- Department of Dermatology and Venereology, All India Institute of Medical Sciences, New Delhi, India
| | - Rajat Choudhary
- Department of Dermatology and Venereology, All India Institute of Medical Sciences, New Delhi, India
| | - Dhwani Dholakia
- Data Analyst (Bioinformatician), Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India
| | - Sachin Goel
- Department of Dermatology and Venereology, All India Institute of Medical Sciences, New Delhi, India
| | - Somesh Gupta
- Department of Dermatology and Venereology, All India Institute of Medical Sciences, New Delhi, India
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Mehta N, Gupta S, Kularathne Y. The Role and Impact of Artificial Intelligence in Addressing Sexually Transmitted Infections, Nonvenereal Genital Diseases, Sexual Health, and Wellness. Indian Dermatol Online J 2023; 14:793-798. [PMID: 38099049 PMCID: PMC10718125 DOI: 10.4103/idoj.idoj_426_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 08/15/2023] [Accepted: 08/17/2023] [Indexed: 12/17/2023] Open
Abstract
The potential of artificial intelligence (AI) in diagnosing and managing sexually transmitted infections (STIs), nonvenereal genital diseases, and overall sexual health is immense. AI shows promise in STI screening and diagnosis through image recognition and patient data analysis, potentially increasing diagnostic accuracy while ensuring inclusivity. AI can fuel the transformation of e-health and direct-to-consumer services, enhancing targeted screening and personalized interventions while improving the user-friendliness of services. There is a significant role for AI in sexual education, particularly its use in interactive, empathetic chatbots. AI's integration into health care as a decision support tool for primary health-care providers can boost real-time diagnostic accuracy. Furthermore, AI's use in big data can enhance real-time epidemiology, predictive analysis, and directed interventions at population levels. However, challenges such as real-world diagnostic accuracy, liability, privacy concerns, and ethical dilemmas persist. Future directions include an emphasis on inclusivity, language accommodation, and swift research-to-practice transitions. Collaboration among policymakers, researchers, and health-care providers is needed to leverage AI's transformative potential in sexual health.
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Affiliation(s)
- Nikhil Mehta
- Department of Dermatology and Venereology, All India Institute of Medical Sciences, New Delhi, India
| | - Somesh Gupta
- Department of Dermatology and Venereology, All India Institute of Medical Sciences, New Delhi, India
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Chernyshov PV, Tomas-Aragones L, Manolache L, Pustisek N, Salavastru CM, Marron SE, Bewley A, Svensson A, Poot F, Suru A, Salek SS, Augustin M, Szepietowski JС, Koumaki D, Katoulis AC, Sampogna F, Abeni D, Linder DM, Speeckaert R, van Geel N, Seneschal J, Ezzedine K, Finlay AY. Quality of life measurement in vitiligo. Position statement of the European Academy of Dermatology and Venereology Task Force on Quality of Life and Patient Oriented Outcomes with external experts. J Eur Acad Dermatol Venereol 2023; 37:21-31. [PMID: 36259656 DOI: 10.1111/jdv.18593] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 09/13/2022] [Indexed: 12/31/2022]
Abstract
Members of the European Academy of Dermatology and Venereology (EADV) Task Force on Quality of Life (QoL) and Patient Oriented Outcomes reviewed the instruments available for health-related (HR) QoL assessment in vitiligo and together with external vitiligo experts (including representatives of the EADV Vitiligo Task Force) have made practical recommendations concerning the assessment of QoL in vitiligo patients. The Dermatology Life Quality Index (DLQI) was the most frequently used HRQoL instrument, making comparison of results between different countries possible. Several vitiligo-specific instruments were identified. The vitiligo Impact Scale (VIS) is an extensively validated vitiligo-specific HRQoL instrument with proposed minimal important change and clinical interpretation for VIS-22 scores. VIS-22 was developed for use in India, where there are some specific cultural beliefs concerning vitiligo. The EADV Task Force on QoL and Patient Oriented Outcomes recommends use of the DLQI and the Children's Dermatology Life Quality Index (CDLQI) as dermatology-specific instruments in vitiligo. There is a strong need for a valid (including cross-cultural validation) vitiligo-specific instrument that can be either a new instrument or the improvement of existing instruments. This validation must include the proof of responsiveness.
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Affiliation(s)
- Pavel V Chernyshov
- Department of Dermatology and Venereology, National Medical University, Kiev, Ukraine
| | | | | | - Nives Pustisek
- Children's Hospital Zagreb, Medical School, University of Zagreb, Zagreb, Croatia
| | - Carmen Maria Salavastru
- Department of Paediatric Dermatology, Colentina Clinical Hospital, "Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania
| | - Servando E Marron
- Department of Dermatology, University Hospital Miguel Servet, Aragon Psychodermatology Research Group (GAI+PD), Zaragoza, Spain
| | - Anthony Bewley
- Barts Health NHS Trust, London, UK.,Queen Mary University, London, UK
| | - Ake Svensson
- Department of Dermatology and Venereology, Skane University Hospital, Malmö, Sweden
| | - Françoise Poot
- Department of Dermatology, University Hospital Erasme, Brussels, Belgium
| | - Alina Suru
- Department of Paediatric Dermatology, Colentina Clinical Hospital, "Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania
| | - Sam S Salek
- School of Life & Medical Sciences, University of Hertfordshire, Hatfield, UK
| | - Matthias Augustin
- Institute for Health Services Research in Dermatology and Nursing (IVDP), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jacek С Szepietowski
- Department of Dermatology, Venereology and Allergology, Wroclaw Medical University, Wroclaw, Poland
| | - Dimitra Koumaki
- Department of Dermatology and Venereology, University Hospital of Heraklion, Heraklion, Crete, Greece
| | - Alexander C Katoulis
- 2nd Department of Dermatology and Venereology, National and Kapodistrian University of Athens, Medical School, "Attikon" General University Hospital, Athens, Greece
| | | | | | - Dennis Michael Linder
- University Clinic for Medical Psychology and Psychotherapy, Medical University of Graz, Graz, Austria
| | | | - Nanja van Geel
- Department of Dermatology, Ghent University Hospital, Ghent, Belgium
| | - Julien Seneschal
- Department of Dermatology and Pediatric Dermatology, National Reference Center for Rare Skin Disorders, Hôpital Saint-André, University of Bordeaux, Bordeaux, France
| | - Khaled Ezzedine
- Service de Dermatologie, AP-HP, Hôpital Henri-Mondor, Créteil, France.,EpiDermE - Epidemiology in Dermatology and Evaluation of Therapeutics, Université Paris-Est Créteil, Créteil, France
| | - Andrew Y Finlay
- Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK
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