Published on in Vol 2, No 1 (2019): 2019
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/13376, first published
.
Journals
- Chu Y, An H, Oh B, Yang S. Artificial Intelligence in Cutaneous Oncology. Frontiers in Medicine 2020;7 View
- Alves J, Moreira D, Alves P, Rosado L, Vasconcelos M. Automatic Focus Assessment on Dermoscopic Images Acquired with Smartphones. Sensors 2019;19(22):4957 View
- Robinson J, Reavy R, Mallett K, Turrisi R. Remote skin self‐examination training of melanoma survivors and their skin check partners: A randomized trial and comparison with in‐person training. Cancer Medicine 2020;9(19):7301 View
- Andrade C, Teixeira L, Vasconcelos M, Rosado L. Data Augmentation Using Adversarial Image-to-Image Translation for the Segmentation of Mobile-Acquired Dermatological Images. Journal of Imaging 2020;7(1):2 View
- Sangers T, Nijsten T, Wakkee M. Mobile health skin cancer risk assessment campaign using artificial intelligence on a population‐wide scale: a retrospective cohort analysis. Journal of the European Academy of Dermatology and Venereology 2021;35(11) View
- Sangers T, Wakkee M, Kramer‐Noels E, Nijsten T, Lugtenberg M. Views on mobile health apps for skin cancer screening in the general population: an in‐depth qualitative exploration of perceived barriers and facilitators*. British Journal of Dermatology 2021;185(5):961 View
- Al-Azzawi W, Chenchamma G, Hamad A, Alshudukhi J, Alhamazani K, Meraf Z, Velmurugan P. Use of Radiation Circuits for Diagnosis of Melanoma Skin Cancer in Images of Skin Lesions Using Convolutional Neural Networks. Journal of Nanomaterials 2022;2022(1) View
- Kim T, Song H. Communicating the Limitations of AI: The Effect of Message Framing and Ownership on Trust in Artificial Intelligence. International Journal of Human–Computer Interaction 2023;39(4):790 View
- Howell P, Abdelhamid M. Protection Motivation Perspective Regarding the Use of COVID-19 Mobile Tracing Apps Among Public Users: Empirical Study. JMIR Formative Research 2023;7:e36608 View
- Nag S, Baidya A, Mandal A, Mathew A, Das B, Devi B, Kumar R. Deep learning tools for advancing drug discovery and development. 3 Biotech 2022;12(5) View
- Askr H, Elgeldawi E, Aboul Ella H, Elshaier Y, Gomaa M, Hassanien A. Deep learning in drug discovery: an integrative review and future challenges. Artificial Intelligence Review 2023;56(7):5975 View
- Takiddin A, Schneider J, Yang Y, Abd-Alrazaq A, Househ M. Artificial Intelligence for Skin Cancer Detection: Scoping Review. Journal of Medical Internet Research 2021;23(11):e22934 View
- Strzelecki M, Strąkowska M, Kozłowski M, Urbańczyk T, Wielowieyska-Szybińska D, Kociołek M. Skin Lesion Detection Algorithms in Whole Body Images. Sensors 2021;21(19):6639 View
- Jahn A, Navarini A, Cerminara S, Kostner L, Huber S, Kunz M, Maul J, Dummer R, Sommer S, Neuner A, Levesque M, Cheng P, Maul L. Over-Detection of Melanoma-Suspect Lesions by a CE-Certified Smartphone App: Performance in Comparison to Dermatologists, 2D and 3D Convolutional Neural Networks in a Prospective Data Set of 1204 Pigmented Skin Lesions Involving Patients’ Perception. Cancers 2022;14(15):3829 View
- Zafar M, Sharif M, Sharif M, Kadry S, Bukhari S, Rauf H. Skin Lesion Analysis and Cancer Detection Based on Machine/Deep Learning Techniques: A Comprehensive Survey. Life 2023;13(1):146 View
- Omeroglu A, Mohammed H, Oral E, Aydin S. A novel soft attention-based multi-modal deep learning framework for multi-label skin lesion classification. Engineering Applications of Artificial Intelligence 2023;120:105897 View
- Wen H, Yu W, Wu Y, Zhao J, Liu X, Kuang Z, Fan R. Acne detection and severity evaluation with interpretable convolutional neural network models. Technology and Health Care 2022;30:143 View
- Ahmedt-Aristizabal D, Nguyen C, Tychsen-Smith L, Stacey A, Li S, Pathikulangara J, Petersson L, Wang D. Monitoring of Pigmented Skin Lesions Using 3D Whole Body Imaging. Computer Methods and Programs in Biomedicine 2023;232:107451 View
- Paulo M, Symanzik C, Maia M, Lapão L, Carvalho F, Conneman S, Dias J, Gobba F, John S, Loney T, Pinho C, Rodrigues A, Strehl C, Tenkate T, Wittlich M, Modenese A. Digitally measuring solar ultraviolet radiation in outdoor workers: A study protocol for establishing the use of electronic personal dosimeters in Portugal. Frontiers in Public Health 2023;11 View
- Smak Gregoor A, Sangers T, Bakker L, Hollestein L, Uyl – de Groot C, Nijsten T, Wakkee M. An artificial intelligence based app for skin cancer detection evaluated in a population based setting. npj Digital Medicine 2023;6(1) View
- Sangers T, Kittler H, Blum A, Braun R, Barata C, Cartocci A, Combalia M, Esdaile B, Guitera P, Haenssle H, Kvorning N, Lallas A, Navarrete‐Dechent C, Navarini A, Podlipnik S, Rotemberg V, Soyer H, Tognetti L, Tschandl P, Malvehy J. Position statement of the EADV Artificial Intelligence (AI) Task Force on AI‐assisted smartphone apps and web‐based services for skin disease. Journal of the European Academy of Dermatology and Venereology 2024;38(1):22 View
- He X, Zheng X, Ding H. Existing Barriers Faced by and Future Design Recommendations for Direct-to-Consumer Health Care Artificial Intelligence Apps: Scoping Review. Journal of Medical Internet Research 2023;25:e50342 View
- Hong W. Advances and Opportunities of Mobile Health in the Postpandemic Era: Smartphonization of Wearable Devices and Wearable Deviceization of Smartphones. JMIR mHealth and uHealth 2024;12:e48803 View
- Sangers T. Artificial intelligence in skin cancer smartphone applications. Die Dermatologie 2024;75(4):344 View
- Strzelecki M, Kociołek M, Strąkowska M, Kozłowski M, Grzybowski A, Szczypiński P. Artificial intelligence in the detection of skin cancer: State of the art. Clinics in Dermatology 2024;42(3):280 View
- Yuan C, Zhao D, Agaian S. UCM-Net: A lightweight and efficient solution for skin lesion segmentation using MLP and CNN. Biomedical Signal Processing and Control 2024;96:106573 View
- Kalidindi S. The Role of Artificial Intelligence in the Diagnosis of Melanoma. Cureus 2024 View
Books/Policy Documents
- Zhao Q, Chen L. Wound Healing - Recent Advances and Future Opportunities. View
- Vasconcelos M, Moreira D, Alves P, Graça R, Franco R, Rosado L. Biomedical Engineering Systems and Technologies. View
- Strąkowska M, Kociołek M. Information Technology in Biomedicine. View
- Kamalanathan A, Muthu B, Kuniyil Kaleena P. Marvels of Artificial and Computational Intelligence in Life Sciences. View
- Pizzoli S, Durosini I, Strika M, Pravettoni G. Artificial Intelligence for Medicine. View
- Mangai T, Al-Turjman F. The Smart IoT Blueprint: Engineering a Connected Future. View