Skip to menu Skip to content Skip to footer

2025

Journal Article

Informing a position statement on the use of large language models and AI scribes in dermatology in Australia

Caffery, Liam J., Taylor, Monica L., Abbott, Lisa M., Janda, Monika, Guitera, Pascale, Mar, Victoria, Arnold, Chris, Shumack, Stephen, Caccetta, Tony, Miller, Robert and Soyer, H. Peter (2025). Informing a position statement on the use of large language models and AI scribes in dermatology in Australia. Australasian Journal of Dermatology, 66 (6), e335-e341. doi: 10.1111/ajd.14566

Informing a position statement on the use of large language models and AI scribes in dermatology in Australia

2025

Journal Article

Skin region images extracted from 3D total body photographs for lesion detection

Saha, Anup, Adeola, Joseph, Ferrera, Nuria, Mothershaw, Adam, Rezze, Gisele, Gaborit, Séraphin, D’Alessandro, Brian, Voskanyan, Robert, Szabó, Gyula, Pataki, Balázs, Rajani, Hayat, Nazari, Sana, Hayat, Hassan, Serra-García, Laura, Primiero, Clare, Bonin, Serena, Zalaudek, Iris, Soyer, H. Peter, Malvehy, Josep and Garcia, Rafael (2025). Skin region images extracted from 3D total body photographs for lesion detection. Scientific Data, 12 (1) 1442, 1-11. doi: 10.1038/s41597-025-05483-x

Skin region images extracted from 3D total body photographs for lesion detection

2025

Journal Article

Privacy in imaging for dermatology research

Caffery, Liam J., Sullivan, Ryan P., McInerney-Leo, Aideen, Lawn, Craig, Mendis, Roshni A., Janda, Monika, Halpern, Allan C. and Soyer, H. Peter (2025). Privacy in imaging for dermatology research. Journal of Investigative Dermatology. doi: 10.1016/j.jid.2025.06.1288

Privacy in imaging for dermatology research

2025

Journal Article

Effect of patient‐contextual skin images in human‐ and artificial intelligence‐based diagnosis of melanoma: results from the 2020 SIIM‐ISIC melanoma classification challenge

Kurtansky, Nicholas R., Primiero, Clare A., Betz‐Stablein, Brigid, Combalia, Marc, Guitera, Pascale, Halpern, Allan, Kentley, Jonathan, Kittler, Harald, Liopyris, Konstantinos, Malvehy, Josep, Rinner, Christoph, Tschandl, Philipp, Weber, Jochen, Rotemberg, Veronica and Soyer, H. Peter (2025). Effect of patient‐contextual skin images in human‐ and artificial intelligence‐based diagnosis of melanoma: results from the 2020 SIIM‐ISIC melanoma classification challenge. Journal of the European Academy of Dermatology and Venereology, 39 (8), 1489-1499. doi: 10.1111/jdv.20479

Effect of patient‐contextual skin images in human‐ and artificial intelligence‐based diagnosis of melanoma: results from the 2020 SIIM‐ISIC melanoma classification challenge

2025

Journal Article

What are patients’ perceptions and attitudes regarding the use of artificial intelligence in skin cancer screening and diagnosis? narrative review

Kuppanda, Preksha Machaiya, Janda, Monika, Soyer, H. Peter and Caffery, Liam J. (2025). What are patients’ perceptions and attitudes regarding the use of artificial intelligence in skin cancer screening and diagnosis? narrative review. Journal of Investigative Dermatology, 145 (8), 1858-1865. doi: 10.1016/j.jid.2025.01.013

What are patients’ perceptions and attitudes regarding the use of artificial intelligence in skin cancer screening and diagnosis? narrative review

2025

Journal Article

Assessment of image quality on the diagnostic performance of clinicians and deep learning models: cross-sectional comparative reader study

Oloruntoba, A. I., Asghari-Jafarabadi, M., Sashindranath, M., Ingvar,, Adler, N. R., Vico-Alonso, C., Niklasson, L., Caixinha, A. L., Hiscutt, E., Holmes, Z., Assersen, K. B., Adamson, S., Jegathees, T., Bertelsen, T., Velasco-Tamariz, V., Helkkula, T., Kristiansen, S., Toholka, R., Goh, M. S., Chamberlain, A., McCormack, C., Vestergaard, T., Mehta, D., Nguyen, T. D., Ge, Z., Soyer, H. P. and Mar, V. (2025). Assessment of image quality on the diagnostic performance of clinicians and deep learning models: cross-sectional comparative reader study. Journal of the European Academy of Dermatology and Venereology, 39 (7), 1306-1314. doi: 10.1111/jdv.20462

Assessment of image quality on the diagnostic performance of clinicians and deep learning models: cross-sectional comparative reader study

2025

Journal Article

A systematic review of microsimulation models for skin cancer

Watts, Caroline G., McLoughlin, Kirstie G., Wade, Stephen, Smit, Amelia K., Soyer, H. Peter, Fernandez-Peñas, Pablo, Whiteman, David C., Guitera, Pascale, Reyes-Marcelino, Gillian, Canfell, Karen, Cust, Anne E. and Caruana, Michael (2025). A systematic review of microsimulation models for skin cancer. BMC Medical Informatics and Decision Making, 25 (1) 222, 1-19. doi: 10.1186/s12911-025-03074-9

A systematic review of microsimulation models for skin cancer

2025

Journal Article

Unpredictable interdependence of invasive and in situ melanoma

Kahler, Sam, Primiero, Clare, Jayasinghe, Dilki, Mothershaw, Adam, Janda, Monika, Betz-Stablein, Brigid, Soyer, H. Peter and McInerney-Leo, Aideen (2025). Unpredictable interdependence of invasive and in situ melanoma. British Journal of Dermatology, 193 (4) ljaf235, 782-784. doi: 10.1093/bjd/ljaf235

Unpredictable interdependence of invasive and in situ melanoma

2025

Journal Article

A multimodal vision foundation model for clinical dermatology

Yan, Siyuan, Yu, Zhen, Primiero, Clare, Vico-Alonso, Cristina, Wang, Zhonghua, Yang, Litao, Tschandl, Philipp, Hu, Ming, Ju, Lie, Tan, Gin, Tang, Vincent, Ng, Aik Beng, Powell, David, Bonnington, Paul, See, Simon, Magnaterra, Elisabetta, Ferguson, Peter, Nguyen, Jennifer, Guitera, Pascale, Banuls, Jose, Janda, Monika, Mar, Victoria, Kittler, Harald, Soyer, H. Peter and Ge, Zongyuan (2025). A multimodal vision foundation model for clinical dermatology. Nature Medicine, 31 (8), 1-12. doi: 10.1038/s41591-025-03747-y

A multimodal vision foundation model for clinical dermatology

2025

Journal Article

Attitudes Towards the Use of Artificial Intelligence in Dermatology: A Survey of Australian Dermatologists

Partridge, Brad, Janda, Monika, Gillespie, Nicole, Silva, Carina Vasconcelos, Arnold, Chris, Abbott, Lisa, Caccetta, Tony and Soyer, H. Peter (2025). Attitudes Towards the Use of Artificial Intelligence in Dermatology: A Survey of Australian Dermatologists. Australasian Journal of Dermatology, 66 (5), e279-e286. doi: 10.1111/ajd.14524

Attitudes Towards the Use of Artificial Intelligence in Dermatology: A Survey of Australian Dermatologists

2025

Journal Article

The deep imaging phenotype for melanoma risk stratification

Kahler, Sam, Rutjes, Chantal, Janda, Monika, Primiero, Clare and Soyer, H. Peter (2025). The deep imaging phenotype for melanoma risk stratification. SKINdeep (1) e150261, 1-20. doi: 10.1553/skindeep.2025.150261

The deep imaging phenotype for melanoma risk stratification

2025

Journal Article

Prevalence of high-risk melanoma variants in early-onset and/or multiple primary melanoma in an Australian cohort

Maas, Ellie J., Wallingford, Courtney K,, De Bortoli, Emily, Primiero, Clare, Freeman, Ned P., Smit, Darren J., Lee, Katie J., Jagirdar, Kasturee, McMeniman, Erin, Betz-Stablein, Brigid, Stark, Mitchell S., Sturm, Richard A., Soyer, H. Peter and McInerney-Leo, Aideen (2025). Prevalence of high-risk melanoma variants in early-onset and/or multiple primary melanoma in an Australian cohort. Journal of the European Academy of Dermatology and Venereology: JEADV. doi: 10.1111/jdv.20673

Prevalence of high-risk melanoma variants in early-onset and/or multiple primary melanoma in an Australian cohort

2025

Journal Article

Incidence and patterns of newly developed pigmented lesions in adults at high risk for melanoma

Wolber, Anna K., Jayasinghe, Dilki, Betz-Stablein, Brigid, Janda, Monika, Soyer, H. Peter and Kittler, Harald (2025). Incidence and patterns of newly developed pigmented lesions in adults at high risk for melanoma. British Journal of Dermatology, 192 (4) ljae467, 751-753. doi: 10.1093/bjd/ljae467

Incidence and patterns of newly developed pigmented lesions in adults at high risk for melanoma

2025

Journal Article

Cost-effectiveness analysis of 3D total-body photography for people at high risk of melanoma

Lindsay, Daniel, Soyer, H. Peter, Janda, Monika, Whiteman, David C., Osborne, Sonya, Finnane, Anna, Caffery, Liam J. and Collins, Louisa G. (2025). Cost-effectiveness analysis of 3D total-body photography for people at high risk of melanoma. JAMA Dermatology, 161 (5), 482-489. doi: 10.1001/jamadermatol.2025.0219

Cost-effectiveness analysis of 3D total-body photography for people at high risk of melanoma

2025

Journal Article

3D Total-Body Photography in Patients at High Risk for Melanoma : A Randomized Clinical Trial

Soyer, H. Peter, Jayasinghe, Dilki, Rodriguez-Acevedo, Astrid J., Collins, Louisa G., Caffery, Liam J., Whiteman, David C., Betz-Stablein, Brigid, Osborne, Sonya R., Finnane, Anna, Horsham, Caitlin, Primiero, Clare, Gray, Leonard C. and Janda, Monika (2025). 3D Total-Body Photography in Patients at High Risk for Melanoma : A Randomized Clinical Trial. JAMA Dermatology, 161 (5), 472-481. doi: 10.1001/jamadermatol.2025.0211

3D Total-Body Photography in Patients at High Risk for Melanoma : A Randomized Clinical Trial

2025

Journal Article

Clinical features and risks of congenital melanocytic naevi: a retrospective analysis of patients at the Queensland Children's Hospital

Lobo, Yolanka, Zhuang, Jessica, Gribbin, Hannah, Pinzon Perez, William Felipe, Soyer, H. Peter and Wheller, Laura (2025). Clinical features and risks of congenital melanocytic naevi: a retrospective analysis of patients at the Queensland Children's Hospital. Australasian Journal of Dermatology, 66 (2), 61-68. doi: 10.1111/ajd.14418

Clinical features and risks of congenital melanocytic naevi: a retrospective analysis of patients at the Queensland Children's Hospital

2025

Journal Article

An overview of data analysis approaches and biases in unveiling the impact of COVID 19 on melanoma diagnosis

Zheng, Lejie, Soyer, H. Peter, Janda, Monika and Jayasinghe, Dilki (2025). An overview of data analysis approaches and biases in unveiling the impact of COVID 19 on melanoma diagnosis. Journal of Investigative Dermatology, 145 (10), 2619-2623.e4. doi: 10.1016/j.jid.2025.03.009

An overview of data analysis approaches and biases in unveiling the impact of COVID 19 on melanoma diagnosis

2025

Journal Article

Combining automated lesion risk and change assessment improves melanoma detection: a retrospective accuracy study

Rutjes, Chantal, Mothershaw, Adam, D’Alessandro, Brian M., Primiero, Clare A., McInerney-Leo, Aideen, Soyer, H. Peter, Janda, Monika and Betz-Stablein, Brigid (2025). Combining automated lesion risk and change assessment improves melanoma detection: a retrospective accuracy study. Journal of Investigative Dermatology, 145 (3), 703-706.e1. doi: 10.1016/j.jid.2024.07.027

Combining automated lesion risk and change assessment improves melanoma detection: a retrospective accuracy study

2025

Journal Article

Multi‐task AI models in dermatology: Overcoming critical clinical translation challenges for enhanced skin lesion diagnosis

Mehta, Deval, Primiero, Clare, Betz‐Stablein, Brigid, Nguyen, Toan D., Gal, Yaniv, Bowling, Adrian, Haskett, Martin, Sashindranath, Maithili, Bonnington, Paul, Mar, Victoria, Soyer, H. Peter and Ge, Zongyuan (2025). Multi‐task AI models in dermatology: Overcoming critical clinical translation challenges for enhanced skin lesion diagnosis. Journal of the European Academy of Dermatology and Venereology. doi: 10.1111/jdv.20551

Multi‐task AI models in dermatology: Overcoming critical clinical translation challenges for enhanced skin lesion diagnosis

2025

Journal Article

Patient and doctor anecdotal observations: narrative insights for reducing diagnostic excisions and promoting early detection of melanomas

Liu, Timothy J., Wolber, Anna K., Sherwood, Carl and Soyer, H. Peter (2025). Patient and doctor anecdotal observations: narrative insights for reducing diagnostic excisions and promoting early detection of melanomas. International Journal of Dermatology, 64 (2), 445-447. doi: 10.1111/ijd.17441

Patient and doctor anecdotal observations: narrative insights for reducing diagnostic excisions and promoting early detection of melanomas