These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

107 related articles for article (PubMed ID: 37706593)

  • 1. Advancing dermatology: artificial intelligence-based solutions to reducing the risk of misdiagnosis.
    Klabukov I; Baranovskii D
    Clin Exp Dermatol; 2024 Jun; 49(7):731-732. PubMed ID: 37706593
    [No Abstract]   [Full Text] [Related]  

  • 2. The Need for a National Strategy on Artificial Intelligence in Canadian Dermatology.
    Lewinson RT; Vallerand IA
    J Cutan Med Surg; 2020; 24(4):428-429. PubMed ID: 32363930
    [No Abstract]   [Full Text] [Related]  

  • 3. Dermatology and its unique diagnostic heuristics.
    Lowenstein EJ
    J Am Acad Dermatol; 2018 Jun; 78(6):1239-1240. PubMed ID: 29133237
    [No Abstract]   [Full Text] [Related]  

  • 4. Ethical considerations for artificial intelligence in dermatology: a scoping review.
    Gordon ER; Trager MH; Kontos D; Weng C; Geskin LJ; Dugdale LS; Samie FH
    Br J Dermatol; 2024 May; 190(6):789-797. PubMed ID: 38330217
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Diagnostic heuristics in dermatology, part 2: metacognition and other fixes.
    Lowenstein EJ; Sidlow R
    Br J Dermatol; 2018 Dec; 179(6):1270-1276. PubMed ID: 30171684
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Artificial intelligence in diagnosis and management of COVID-19 in dermatology.
    Sadoughifar R; Goldust M; Abdshahzadeh H; Abrishamchi R; Rudnicka L; Jafferany M; Gupta M
    Dermatol Ther; 2020 Jul; 33(4):e13794. PubMed ID: 32511846
    [No Abstract]   [Full Text] [Related]  

  • 7. Informing a position statement on the use of artificial intelligence in dermatology in Australia.
    Caffery LJ; Janda M; Miller R; Abbott LM; Arnold C; Caccetta T; Guitera P; Shumack S; Fernández-Peñas P; Mar V; Soyer HP
    Australas J Dermatol; 2023 Feb; 64(1):e11-e20. PubMed ID: 36380357
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Dermatology and artificial intelligence.
    Clark Lambert W; Grzybowski A
    Clin Dermatol; 2024; 42(3):207-209. PubMed ID: 38181889
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Visual perception, cognition, and error in dermatologic diagnosis: Diagnosis and error.
    Lowenstein EJ; Sidlow R; Ko CJ
    J Am Acad Dermatol; 2019 Dec; 81(6):1237-1245. PubMed ID: 30797841
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Cognitive bias and medical errors.
    Elston DM
    J Am Acad Dermatol; 2019 Dec; 81(6):1249. PubMed ID: 31279022
    [No Abstract]   [Full Text] [Related]  

  • 11. Evaluation of dermatological conditions: the diagnostic potential of artificial intelligence in primary care.
    Ahuja K; DeSena G; Lio P
    Clin Exp Dermatol; 2024 Jun; 49(7):737-739. PubMed ID: 38039141
    [No Abstract]   [Full Text] [Related]  

  • 12. Artificial Intelligence in Dermatology-Where We Are and the Way to the Future: A Review.
    Hogarty DT; Su JC; Phan K; Attia M; Hossny M; Nahavandi S; Lenane P; Moloney FJ; Yazdabadi A
    Am J Clin Dermatol; 2020 Feb; 21(1):41-47. PubMed ID: 31278649
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Dermatology Image Quality Assessment (DIQA): Artificial intelligence to ensure the clinical utility of images for remote consultations and clinical trials.
    Hernández Montilla I; Mac Carthy T; Aguilar A; Medela A
    J Am Acad Dermatol; 2023 Apr; 88(4):927-928. PubMed ID: 36526082
    [No Abstract]   [Full Text] [Related]  

  • 14. Cognitive and visual diagnostic errors in dermatology: part 1.
    Lowenstein EJ; Sidlow R
    Br J Dermatol; 2018 Dec; 179(6):1263-1269. PubMed ID: 29962022
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Augmented Intelligence in Dermatology: Fantasy or Future?
    Kromenacker B; Maarouf M; Shi VY
    Dermatology; 2019; 235(3):250-252. PubMed ID: 30889594
    [No Abstract]   [Full Text] [Related]  

  • 16. Toward Augmented Intelligence: The First Prospective, Randomized Clinical Trial Assessing Clinician and Artificial Intelligence Collaboration in Dermatology.
    Daneshjou R
    J Invest Dermatol; 2022 Sep; 142(9):2301-2302. PubMed ID: 35659393
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Widening the scope of artificial intelligence applications in dermatology.
    Matin RN
    Clin Exp Dermatol; 2024 Jun; 49(7):671-674. PubMed ID: 38723587
    [No Abstract]   [Full Text] [Related]  

  • 18. Artificial intelligence in dermatology and healthcare: An overview.
    Pai VV; Pai RB
    Indian J Dermatol Venereol Leprol; 2021 [SEASON]; 87(4):457-467. PubMed ID: 34114421
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Characterizing dermatology mobile applications that use artificial intelligence.
    Ranpariya V; Feldman SR
    Dermatol Online J; 2021 Sep; 27(9):. PubMed ID: 34755989
    [No Abstract]   [Full Text] [Related]  

  • 20. Artificial intelligence in dermatology for the clinician.
    Patel S; Wang JV; Motaparthi K; Lee JB
    Clin Dermatol; 2021; 39(4):667-672. PubMed ID: 34809771
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.