The Daily Papule

Meeting abstracts

SID 2026

Society for Investigative Dermatology · Chicago, 13–16 May 2026

1,233 abstracts, published in JID on 21 July 2026. Their text is on the JID website.

  1. 0062

    Establishment of dermatopathology image data base DermpathNet using artificialIntelligence empowered workflow

    Xu Z, Lin M, … senior author Peng Y

  2. 0063

    Augmenting the diagnosis of cellulitis using image-based machine learning

    Gupta P, Fosu NA, … senior author Korman AM

  3. 0064

    Comparing dermatologist and artificial intelligence heat maps in dermoscopic image analysis via eye tracking

    Kremer N, Polo-Silveira L, … senior author Marghoob A

  4. 0065

    Author guidelines in dermatology journals regarding use of artificial intelligence

    Wang V, Yang K, Fernandez JM

  5. 0066

    Enhancing depth and clarity of skin cancer detection with KLEAR-OCT

    Zheng C, Zhao S, … senior author Sarin K

  6. 0070

    The role of ultrasound in scarring alopecias: A scoping review of diagnostic and monitoring findings

    Latterman C, Ahmad S, Ashack K

  7. 0071

    An imaging informatics review of hospital dermatology consults covered by community dermatologists at an academic teaching hospital

    Fernandez JM, Wang V, … senior author Antonescu C

  8. 0075

    Diagnostic accuracy of artificial intelligence tools for psoriasis recognition in skin of color: A cross-model evaluation

    Roecker A, Sosale P, … senior author Tolkachjov S

  9. 0077

    KADANN: Kolmogorov–Arnold domain-adversarial neural networks for interpretable, domain-robust cell phenotyping in multiplexed skin imaging

    Lu C, Lin C, … senior author Sunshine J

  10. 0078

    In vivo dermal remodeling during oncolytic viral therapy visualized by reflectance confocal microscopy

    Sparkman B, Chen D, Shmuylovich L

  11. 0079

    Assessing the performance of a skin cancer triage algorithm with 3d-total body photography

    Gillis MC, Pham T, … senior author Rotemberg V

  12. 0080

    Assessing the impact of systemic bias on AI-assisted dermatological diagnosis in multi-agent clinical simulations

    Nijjer K, Ahmed A, Bui R

  13. 0081

    Innovative technology driven by AI devoted to generate a new anti-aging biomimetic ingredient

    Mur L, Ferreira Y, … senior author Imbert I

  14. 0087

    Convolutional neural networks as a scalable investigative platform for dermatologic research

    Ha KB, Bernert CM, Ellefson EC

  15. 0089

    Identifying culprit drugs in inpatient drug-induced rashes using large language models

    Lee J, Huang Y, … senior author Gelfand J

  16. 0090

    Human-in-the-Loop LLM for faster and more reliable identification of cutaneous immune-related adverse events

    Lu C, Burke O, … senior author Semenov Y

  17. 0094

    Prediction of skin aging scores : Using GWAS and AI models to uncover the association between aging and genetic information in korean women

    Park S, Yuk M, … senior author Park B

  18. 0096

    Development and validation of machine learning-based ichthyosis severity scoring

    Liu W, Luo AJ, … senior author Choate K

  19. 0098

    Depth of residual basal cell carcinoma at stage-1 mohs margins: Implications for RCM and LC-OCT margin mapping

    Boostani M, Goorman E, … senior author Giordano C

  20. 0106

    Artificial intelligence-based detection of cutaneous squamous cell carcinoma in epidermolysis bullosa at expert level

    Furmanchuk A, Adate A, … senior author Reimer-Taschenbrecker A

  21. 0112

    From biopsy to plain language: AI for patient education in dermatology

    Masood S, Fong L, … senior author Xu J

  22. 0114

    Artificial intelligence-powered prediction of mohs surgery postoperative appearance

    Zhang JS, Chen C, … senior author Daneshjou R

  23. 0117

    Fair and generalizable AI for skin lesion diagnosis: Mitigating bias across skin tones

    Alikali M, Nima H, … senior author Wan G

  24. 0118

    cNF-Vision: Lesion-level image analysis of cutaneous neurofibromas in a large neurofibromatosis type 1 cohort

    Sadee C, Lin MJ, … senior author Sarin K

  25. 0121

    A multi-agent AI system for diagnostic and therapeutic decision-making in dermatology

    Zhao R, Hao N, … senior author Wan G

  26. 0122

    Prediction of conjunctival melanoma on whole slide images: A novel application of a weakly supervised deep learning melanoma detection MIL model

    Ghandian S, Tada M, … senior author Wei M

  27. 0175

    Nutritional and inflammatory psoriasis phenotypes characterized by machine learning in NHANES

    Gao V, Beheshti M, … senior author Casterline B

  28. 0190

    Predicting psoriasis biologic therapy outcomes: An explainable hybrid machine-learning approach applying real-world data

    Hussain AB, Andrew T, … senior author Reynolds N

  29. 0191

    Interviews exploring American dermatologists’ perspectives on AI-driven clinical decision support (CDS) tools for melanoma detection

    Kim SS, Kurtansky N, … senior author Rotemberg V

  30. 0199

    Artificial intelligence–driven assessment of disease activity and over-the-counter medication use in chronic spontaneous urticaria using clinical narratives

    Ming X, Smart K, … senior author Armstrong A

  31. 0226

    Sub-ultraviolet light reflectance dermoscopy for assessment of inflammatory skin diseases

    Jeong S, Kim H, … senior author Jang M

  32. 0227

    Total nevus count estimation: Comparable assessments by dermatologists and a total-body photography-based algorithm

    Pathmarajah P, Longo SK, … senior author Chiou A

  33. 0232

    AI-assisted thematic analysis of patient experience with skin cancer diagnosis and treatment

    Sakunchotpanit G, Berry A, … senior author Nguyen B

  34. 0241

    Enlarged black dots: An effective trichoscopic sign to distinguish trichotillomania from alopecia areata

    Chen T, Kinoshita-Ise M, … senior author Ohyama M

  35. 0247

    Dermauto-card (automated clinical AI reporting and documentation): a generator for standardized, transparent dermatology AI model cards

    Nguyen NK, Chen D, … senior author Wongvibulsin S

  36. 0277

    A dermatology-specific model card framework for transparent and responsible clinical deployment of artificial intelligence (AI) dermatology tools

    Yan MJ, Chen D, … senior author Wongvibulsin S

  37. 0328

    Post-operative imaging surveillance is frequently used after surgical excision of merkel cell carcinoma: An institutional analysis

    Raj LK, Tarawneh H, … senior author Higgins H

  38. 0402

    Trichoscopic interpretation of perifollicular pigmented network patterns is essential for diagnosing lymphocytic cicatricial alopecias

    Sadick N, Hordinsky M, … senior author Reis Gavazzoni Dias MF

  39. 0412

    Skin barrier disruption results in increased skin sodium concentration measured using sodium magnetic resonance imaging

    Zhu J, Ye M, … senior author Abuabara K

  40. 0463

    Diagnostic accuracy of AI-based methods for onychomycosis: A systematic review

    Henry T, Fajardo F, Lipner S

  41. 0520

    Ultrasound-guided sclerotherapy for tunnels in hidradenitis suppurativa integrating imaging-based phenotype classification

    Khatib-Shahidi B, Sidhu KS, … senior author Ashack K

  42. 0525

    AI-driven discovery and mechanistic evaluation of cyclofuse: A novel small molecule for anti–hair-loss applications

    Lam K, Ng K, … senior author Chan C

  43. 0526

    AI-driven evaluation of polyceptin: A novel multi-target small molecule for anti–hair-loss applications

    Lam K, Ng K, … senior author Chan C

  44. 0743

    Artificial intelligence based translation tools introduce readability and content concerns in Spanish dermatologic post-care instructions

    Gandhi I, Fishman C, … senior author Fishman S

  45. 0751

    Condition-specific variation in AI dermatologic diagnostic accuracy across skin types

    Turner L, McRae C, … senior author Huang C

  46. 0771

    Field damage in chronically UV-Irradiated SKH1 mice shows distinct features on reflectance confocal microscopy

    Boostani M, Bozsányi S, … senior author Paragh G

  47. 0792

    Live-cell imaging-based evaluation of cell death inhibitors in ultraviolet radiation-induced apoptosis and necrosis in human keratinocytes

    Sackett A, Denning MF

  48. 0802

    Pigmented poroma–seborrheic keratosis collision tumor mimicking melanoma on reflectance confocal microscopy

    Rodriguez MT, Aslam R, … senior author Farabi B

  49. 0829

    Interpretable machine learning to predict distant metastasis at initial melanoma diagnosis

    Kim J, Yuan H, … senior author Avanaki K

  50. 0930

    Proteomic biomarkers from discarded wound dressings predict healing outcomes of chronic wounds using machine learning

    Jurczuk V, Soto V, … senior author Jozic I