Meeting abstracts
BAD 2026
British Association of Dermatologists · Manchester, 30 June – 2 July 2026
639 abstracts, published in BJD on 26 June 2026.
- AI01
Exploring the role of artificial intelligence in skin cancer management: perspectives from UK dermatologists
Banda T, Li D, … senior author Shim TN
- AI03
- AI04
- AI05
Establishing research priorities for artificial intelligence approaches in dermatology using an eDelphi exercise
Ramessur R, Carson L, … senior author Matin RN
- AI06
Can large language models replicate expert consensus in dermatology research prioritization?
Carson L, Ramessur R, … senior author Matin RN
- AI08
Validation of the EczemaNet artificial intelligence-based eczema severity tool in a paediatric population
Gavin Fong WC, Strawford J, … senior author Thomas K
- AI09
- AI10
- AI11
Explainable multiclass artificial intelligence for safe identification and subtyping of benign skin lesions in suspected cancer pathways
Limpabandhu C, Shams F, … senior author Hogan S
- AI12
- AI13
Rethinking peer review in the artificial intelligence era: artificial intelligence adoption for dermatology peer review
Lloyd-Morris D, Potluru A, … senior author Li D
- AI14
- AI17
The regulatory trilemma: a comparative analysis of three-tiered artificial intelligence market access in Great Britain, Northern Ireland and the Republic of Ireland
McGarel S, Barry R, … senior author Fleming S
- BC07
Current applications of optical coherence tomography in aesthetic dermatology: a scoping review
Babani K, Abou Swid AA, … senior author Layton A
- BH06
Monitoring of nail psoriasis with optical coherence tomography under treatment with tildrakizumab for 52 weeks
Hobelsberger S, Schmirler S, … senior author Beissert S
- BT03
- BT05
A retrospective analysis of the use of Deep Ensemble for Recognition of Malignancy (DERM) for triaging skin lesions
Shaheed M, Scott A, Chandrakumar A
- BT06
Introduction of a medical photography hub to optimize phototriage of 2-week-wait referrals
Armstrong T, Hunter H, … senior author Armstrong K
- BT08
Real world variability in teledermatologist discharge rates in AI-enabled urgent suspected cancer pathways
Han D, Jacklin C, … senior author Luck J
- BT11
- CD25
Seeing beyond ICDRG: dermoscopic signatures and reclassification of patch test reactions
Agrawal S, Bansal S, … senior author Thakur V
- DE03
- DE05
Exploring the use of ChatGPT as a study tool to help develop communication skills in undergraduate dermatology education
Svendsen L, Helbling I, … senior author Bird T
- DE07
Integration of artificial intelligence: virtual patient simulation in undergraduate dermatology education
Abu Jubain M, Georgiou N, … senior author Helbling I
- DP17
Categorizing BAP1-inactivated melanocytic tumours using dermoscopic and clinical features with correlation to pathology
Craig S, Wright D, … senior author Smith H
- DS04
- DS29
Intraoperative marking and photographs to facilitate the optimal planning of adjuvant radiation treatment
Barlow R, Chan D, … senior author Mortimer N
- GD07
Clinicodermoscopic and histopathological correlation in Hansen disease: a cross-sectional observational study from a South-East Asian tertiary care centre
Reddy Bathula M, Panda M, … senior author Kumar Jena A
- HX12
The evolution of teledermatology
McKenna S
- LY14
Diagnostic challenges in cutaneous lymphomas: the importance of multisite biopsy and challenges with clonality interpretation
White J, Brennan S, … senior author Child F
- O01
Real-world effectiveness of artificial intelligence-assisted lesion triage on cancer waiting times
Carson L, Fleming R, … senior author Fleming C
- P001
Real-world diagnostic performance of artificial intelligence in skin cancer screening
Earnshaw C, Cheung K, … senior author McMullen E
- P002
A systematic review comparing artificial intelligence models’ ability to diagnose dermatological conditions
Ejercito Chavez CK, Turcanu V
- P003
Artificial intelligence in dermatology: current clinical applications, limitations and implementation challenges
Shelton E, Patel J, … senior author Tolkachjov S
- P005
The rise of artificial intelligence-powered teledermatology: transforming skin disease diagnosis, monitoring and personalized treatment plans in remote settings
Su Huey AK, Karabulut E, … senior author Uwishema O
- P006
- P007
Real-world multicentre clinical performance evaluation of an artificial intelligence as a medical device across darker skin tones
McLauchlan M, Han D, … senior author Luck J
- P008
- P009
Safety and service impact of dermatologist second read in artificial intelligence-assisted teledermatology
Meghoma L, Font DM, Chandler D
- P028
Cutaneous sarcoidosis in a child with type 1 diabetes: dermoscopic findings and clinical correlation
Baba R, Baraz S, … senior author Hjira N
- P059
Dermoscopy of naevoid melanoma: a comparative analysis of shared diagnostic features in histologically confirmed cases
Nugent H, Mitsaki KS, … senior author Keith D
- P067
From inbox to insight: dermatology teaching for administrative staff in an evolving digital world
Wong V, Li D, … senior author Sanyal S
- P071
Dermoscopea: expanding global access to dermoscopy through light-emitting diode loupes, mobile device dermoscopy, 3D-printed solutions and open-access education
Ahmed H, Prideaux A, … senior author Keith D
- P072
Improving governance and consent in dermatology clinical photography: a retrospective audit informing development of a secure digital workflow
Flynn AO, Leahy M, … senior author Reid C
- P076
A multicentre evaluation of surveillance outcomes and phenotypic trends in carriers of CDKN2A pathogenic variants
Nicholls I, Robinson P, … senior author Willsmore Z
- P111
Evaluating the performance of the Vitiligo Signs of Activity Score using prospective photographically documented vitiligo activity
Gupta V, Sathvi KM, … senior author Khan M
- P218
- PA13
Cutaneous clues to congenital anomalies: a neonatal case of PELVIS syndrome
Thundercliffe J, Elaribi S, … senior author Corden E
- PA17
Evaluation of magnetic resonance imaging use in paediatric vascular anomalies before and after implementation of local imaging guidance
Shahab J, Murphy R, … senior author Huna K
- PD01