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. 2023 Mar 21;239(4):499–513. doi: 10.1159/000530225

Table 1.

Inclusion and exclusion criteria used for screening and assessing eligibility of articles

Inclusion criteria Exclusion criteria
1. Any computer modeling or use of AI on diagnosis of skin conditions
2. Datasets provide information on the population (racial or Fitzpatrick skin type breakdown) or datasets obtained from countries with predominantly skin of color population
3. Uses dermoscopic, clinical, 3D, or other photographic images of the skin surface
4. Includes the assessment of malignant and/or non-malignant pigmented skin lesions
1. No population description of the training datasets (demographic, racial, or ethnicity breakdown) or from a country with predominantly Caucasian population of European ancestry
2. Dataset description with >90% Caucasian population, or fair skin type, or Fitzpatrick skin type I–III
3. Solely used images from ISIC [56], PH2 [13], IAD [57], ISBI [58], HAM10000 [12], MED-NODE [14], ILSVRC [59], DermaQuest [60], DERMIS [61], DERM IQA[62], DermNet NZ [63], and datasets known to be of predominantly European ancestry

DERM IQA, Dermoscopic Image Quality Assessment [62]; DERMIS, dermatology information system; ISIC, International Skin Imaging Collaboration [56]; DermNet NZ, DermNet New Zealand [63]; IAD, Interactive Atlas of Dermoscopy [57]; ISBI, International Symposium on Biomedical Imaging [58]; ILSVRC, ImageNet Large Scale Visual Recognition Challenge [59]; HAM10000, Human Against Machine with 10,000 training images [12]; MED-NODE, computer-assisted MElanoma Diagnosis from NOn-DErmoscopic images [14].