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1. Diagnostic inaccuracy of smartphone applications for melanoma detection. | PSNet
   psnet.ahrq.gov/issue/diagnostic-inaccuracy-smartphone-applications-melanoma-detection
   April 24, 2018 - Study Diagnostic inaccuracy of smartphone applications for melanoma detection. … Diagnostic inaccuracy of smartphone applications for melanoma detection. … Overall, the applications performed poorly, with three incorrectly classifying 30% or more of melanomas … Diagnostic inaccuracy of smartphone applications for melanoma detection.

2. Accuracy of computer-aided diagnosis of melanoma: a meta-analysis. | PSNet
   psnet.ahrq.gov/issue/accuracy-computer-aided-diagnosis-melanoma-meta-analysis
   June 26, 2019 - Emerging Classic Accuracy of computer-aided diagnosis of melanoma … Accuracy of Computer-Aided Diagnosis of Melanoma. … This metanalysis found that computer-aided diagnosis effectively detects melanoma; however, studies were … Accuracy of Computer-Aided Diagnosis of Melanoma.

3. Ethical dilemma in missed melanoma: what to tell the patient and other providers. | PSNet
   psnet.ahrq.gov/issue/ethical-dilemma-missed-melanoma-what-tell-patient-and-other-providers
   March 17, 2021 - Commentary Ethical dilemma in missed melanoma: what to tell the patient and other … Ethical dilemma in missed melanoma: What to tell the patient and other providers. … This commentary discusses an incident involving a diagnosis of melanoma missed during the initial examination … Ethical dilemma in missed melanoma: What to tell the patient and other providers.

4. Psn-Pdf (pdf file)
   psnet.ahrq.gov/node/42001/psn-pdf
   August 02, 2015 - Diagnostic inaccuracy of smartphone applications for melanoma detection. … Diagnostic inaccuracy of smartphone applications for melanoma detection. … https://psnet.ahrq.gov/issue/diagnostic-inaccuracy-smartphone-applications-melanoma-detection Smartphones … Overall, the applications performed poorly, with three incorrectly classifying 30% or more of melanomas … https://psnet.ahrq.gov/issue/diagnostic-inaccuracy-smartphone-applications-melanoma-detection https:/

5. Psn-Pdf (pdf file)
   psnet.ahrq.gov/node/48041/psn-pdf
   July 10, 2019 - Accuracy of computer-aided diagnosis of melanoma: a meta-analysis. … Accuracy of Computer-Aided Diagnosis of Melanoma. … https://psnet.ahrq.gov/issue/accuracy-computer-aided-diagnosis-melanoma-meta-analysis Advanced computing … This metanalysis found that computer-aided diagnosis effectively detects melanoma; however, studies … https://psnet.ahrq.gov/issue/accuracy-computer-aided-diagnosis-melanoma-meta-analysis https://psnet.ahrq.gov

6. Psn-Pdf (pdf file)
   psnet.ahrq.gov/node/46141/psn-pdf
   May 17, 2017 - Ethical dilemma in missed melanoma: what to tell the patient and other providers. … Ethical dilemma in missed melanoma: What to tell the patient and other providers. … https://psnet.ahrq.gov/issue/ethical-dilemma-missed-melanoma-what-tell-patient-and-other-providers Despite … This commentary discusses an incident involving a diagnosis of melanoma missed during the initial examination … https://psnet.ahrq.gov/issue/ethical-dilemma-missed-melanoma-what-tell-patient-and-other-providers https

7. Accuracy of skin cancer diagnosis by physician assistants compared with dermatologists in a large health care system. | PSNet
   psnet.ahrq.gov/issue/accuracy-skin-cancer-diagnosis-physician-assistants-compared-dermatologists-large-health-care
   August 04, 2021 - assistants working in dermatology clinics performed more biopsies and diagnosed fewer skin cancers and melanoma … March 10, 2011 Diagnostic inaccuracy of smartphone applications for melanoma detection … January 23, 2017 Diagnostic inaccuracy of smartphone applications for melanoma detection

8. Algorithm based smartphone apps to assess risk of skin cancer in adults: systematic review of diagnostic accuracy studies. | PSNet
   psnet.ahrq.gov/issue/algorithm-based-smartphone-apps-assess-risk-skin-cancer-adults-systematic-review-diagnostic
   July 29, 2020 - Findings are consistent with earlier studies reporting poor performance of smartphone apps for melanoma … July 22, 2020 Accuracy of computer-aided diagnosis of melanoma: a meta-analysis. … May 10, 2017 Diagnostic inaccuracy of smartphone applications for melanoma detection.

9. Psn-Pdf (pdf file)
   psnet.ahrq.gov/node/60012/psn-pdf
   March 03, 2020 - Findings are consistent with earlier studies reporting poor performance of smartphone apps for melanoma … rethinking-diagnostic-delay-cancer-how-difficult-diagnosis https://psnet.ahrq.gov/issue/diagnostic-inaccuracy-smartphone-applications-melanoma-detection

10. 10 derm mistakes you don't want to make. | PSNet
    psnet.ahrq.gov/issue/10-derm-mistakes-you-dont-want-make
    March 26, 2008 - April 1, 2020 Accuracy of computer-aided diagnosis of melanoma: a meta-analysis. … August 2, 2015 Diagnostic inaccuracy of smartphone applications for melanoma detection

11. Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study. | PSNet
    psnet.ahrq.gov/issue/comparison-accuracy-human-readers-versus-machine-learning-algorithms-pigmented-skin-lesion
    July 22, 2020 - August 10, 2022 Accuracy of computer-aided diagnosis of melanoma: a meta-analysis. … August 7, 2019 Accuracy of computer-aided diagnosis of melanoma: a meta-analysis.

12. Psn-Pdf (pdf file)
    psnet.ahrq.gov/node/72485/psn-pdf
    November 18, 2020 - dermatology-faces-reckoning-lack-darker-skin-textbooks-and-journals-harms-care-patients-color https://psnet.ahrq.gov/issue/ethical-dilemma-missed-melanoma-what-tell-patient-and-other-providers

13. Psn-Pdf (pdf file)
    psnet.ahrq.gov/node/46117/psn-pdf
    May 10, 2017 - your-new-medical-team-algorithms-and-physicians https://psnet.ahrq.gov/issue/diagnostic-inaccuracy-smartphone-applications-melanoma-detection

14. Psn-Pdf (pdf file)
    psnet.ahrq.gov/node/73166/psn-pdf
    April 21, 2021 - artificial-intelligence-will-improve-medical-treatments https://psnet.ahrq.gov/issue/diagnostic-inaccuracy-smartphone-applications-melanoma-detection

15. Psn-Pdf (pdf file)
    psnet.ahrq.gov/node/46882/psn-pdf
    May 23, 2018 - issue/robot-will-see-you-now https://psnet.ahrq.gov/issue/diagnostic-inaccuracy-smartphone-applications-melanoma-detection

16. Psn-Pdf (pdf file)
    psnet.ahrq.gov/node/44606/psn-pdf
    October 28, 2015 - trust-verify-five-approaches-ensure-safe-medical-apps https://psnet.ahrq.gov/issue/diagnostic-inaccuracy-smartphone-applications-melanoma-detection

17. Psn-Pdf (pdf file)
    psnet.ahrq.gov/node/47504/psn-pdf
    December 21, 2018 - beyond-dr-google-evidence-consumer-facing-digital-tools-diagnosis https://psnet.ahrq.gov/issue/diagnostic-inaccuracy-smartphone-applications-melanoma-detection

18. Psn-Pdf (pdf file)
    psnet.ahrq.gov/node/44017/psn-pdf
    April 08, 2018 - how-can-we-make-diagnosis-safer https://psnet.ahrq.gov/issue/diagnostic-inaccuracy-smartphone-applications-melanoma-detection

19. Psn-Pdf (pdf file)
    psnet.ahrq.gov/node/47512/psn-pdf
    February 20, 2019 - framing-challenges-artificial-intelligence-medicine https://psnet.ahrq.gov/issue/diagnostic-inaccuracy-smartphone-applications-melanoma-detection

20. Psn-Pdf (pdf file)
    psnet.ahrq.gov/node/838242/psn-pdf
    January 01, 2023 - Using data from the Melanoma Pathology Study (M-PATH) and Breast Pathology Study (B-PATH), researchers