117 related articles for article (PubMed ID: 38234043)
1. Evaluation of an artificial intelligence-based decision support for detection of cutaneous melanoma in primary care - a prospective, real-life, clinical trial.
Papachristou P; Söderholm M; Pallon J; Taloyan M; Polesie S; Paoli J; Anderson CD; Falk M
Br J Dermatol; 2024 Jan; ():. PubMed ID: 38234043
[TBL] [Abstract][Full Text] [Related]
2. Teledermatology for diagnosing skin cancer in adults.
Chuchu N; Dinnes J; Takwoingi Y; Matin RN; Bayliss SE; Davenport C; Moreau JF; Bassett O; Godfrey K; O'Sullivan C; Walter FM; Motley R; Deeks JJ; Williams HC;
Cochrane Database Syst Rev; 2018 Dec; 12(12):CD013193. PubMed ID: 30521686
[TBL] [Abstract][Full Text] [Related]
3. Computer-assisted diagnosis techniques (dermoscopy and spectroscopy-based) for diagnosing skin cancer in adults.
Ferrante di Ruffano L; Takwoingi Y; Dinnes J; Chuchu N; Bayliss SE; Davenport C; Matin RN; Godfrey K; O'Sullivan C; Gulati A; Chan SA; Durack A; O'Connell S; Gardiner MD; Bamber J; Deeks JJ; Williams HC;
Cochrane Database Syst Rev; 2018 Dec; 12(12):CD013186. PubMed ID: 30521691
[TBL] [Abstract][Full Text] [Related]
4. Assessment of Accuracy of an Artificial Intelligence Algorithm to Detect Melanoma in Images of Skin Lesions.
Phillips M; Marsden H; Jaffe W; Matin RN; Wali GN; Greenhalgh J; McGrath E; James R; Ladoyanni E; Bewley A; Argenziano G; Palamaras I
JAMA Netw Open; 2019 Oct; 2(10):e1913436. PubMed ID: 31617929
[TBL] [Abstract][Full Text] [Related]
5. Smartphone applications for triaging adults with skin lesions that are suspicious for melanoma.
Chuchu N; Takwoingi Y; Dinnes J; Matin RN; Bassett O; Moreau JF; Bayliss SE; Davenport C; Godfrey K; O'Connell S; Jain A; Walter FM; Deeks JJ; Williams HC;
Cochrane Database Syst Rev; 2018 Dec; 12(12):CD013192. PubMed ID: 30521685
[TBL] [Abstract][Full Text] [Related]
6. Over-Detection of Melanoma-Suspect Lesions by a CE-Certified Smartphone App: Performance in Comparison to Dermatologists, 2D and 3D Convolutional Neural Networks in a Prospective Data Set of 1204 Pigmented Skin Lesions Involving Patients' Perception.
Jahn AS; Navarini AA; Cerminara SE; Kostner L; Huber SM; Kunz M; Maul JT; Dummer R; Sommer S; Neuner AD; Levesque MP; Cheng PF; Maul LV
Cancers (Basel); 2022 Aug; 14(15):. PubMed ID: 35954491
[TBL] [Abstract][Full Text] [Related]
7. Exploring the feasibility of an artificial intelligence based clinical decision support system for cutaneous melanoma detection in primary care - a mixed method study.
Helenason J; Ekström C; Falk M; Papachristou P
Scand J Prim Health Care; 2024 Mar; 42(1):51-60. PubMed ID: 37982736
[TBL] [Abstract][Full Text] [Related]
8. Artificial Intelligence and Its Effect on Dermatologists' Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study.
Maron RC; Utikal JS; Hekler A; Hauschild A; Sattler E; Sondermann W; Haferkamp S; Schilling B; Heppt MV; Jansen P; Reinholz M; Franklin C; Schmitt L; Hartmann D; Krieghoff-Henning E; Schmitt M; Weichenthal M; von Kalle C; Fröhling S; Brinker TJ
J Med Internet Res; 2020 Sep; 22(9):e18091. PubMed ID: 32915161
[TBL] [Abstract][Full Text] [Related]
9. Implementation of artificial intelligence algorithms for melanoma screening in a primary care setting.
Giavina-Bianchi M; de Sousa RM; Paciello VZA; Vitor WG; Okita AL; Prôa R; Severino GLDS; Schinaid AA; Espírito Santo R; Machado BS
PLoS One; 2021; 16(9):e0257006. PubMed ID: 34550970
[TBL] [Abstract][Full Text] [Related]
10. Exfoliative cytology for diagnosing basal cell carcinoma and other skin cancers in adults.
Ferrante di Ruffano L; Dinnes J; Chuchu N; Bayliss SE; Takwoingi Y; Davenport C; Matin RN; O'Sullivan C; Roskell D; Deeks JJ; Williams HC;
Cochrane Database Syst Rev; 2018 Dec; 12(12):CD013187. PubMed ID: 30521689
[TBL] [Abstract][Full Text] [Related]
11. Detection of Malignant Melanoma Using Artificial Intelligence: An Observational Study of Diagnostic Accuracy.
Phillips M; Greenhalgh J; Marsden H; Palamaras I
Dermatol Pract Concept; 2020; 10(1):e2020011. PubMed ID: 31921498
[TBL] [Abstract][Full Text] [Related]
12. [The Rise of Artificial Intelligence - High Prediction Accuracy in Early Detection of Pigmented Melanoma].
Jutzi T; Krieghoff-Henning EI; Brinker TJ
Laryngorhinootologie; 2023 Jul; 102(7):496-503. PubMed ID: 36580975
[TBL] [Abstract][Full Text] [Related]
13. Visual inspection and dermoscopy, alone or in combination, for diagnosing keratinocyte skin cancers in adults.
Dinnes J; Deeks JJ; Chuchu N; Matin RN; Wong KY; Aldridge RB; Durack A; Gulati A; Chan SA; Johnston L; Bayliss SE; Leonardi-Bee J; Takwoingi Y; Davenport C; O'Sullivan C; Tehrani H; Williams HC;
Cochrane Database Syst Rev; 2018 Dec; 12(12):CD011901. PubMed ID: 30521688
[TBL] [Abstract][Full Text] [Related]
14. Diagnostic performance of augmented intelligence with 2D and 3D total body photography and convolutional neural networks in a high-risk population for melanoma under real-world conditions: A new era of skin cancer screening?
Cerminara SE; Cheng P; Kostner L; Huber S; Kunz M; Maul JT; Böhm JS; Dettwiler CF; Geser A; Jakopović C; Stoffel LM; Peter JK; Levesque M; Navarini AA; Maul LV
Eur J Cancer; 2023 Sep; 190():112954. PubMed ID: 37453242
[TBL] [Abstract][Full Text] [Related]
15. Computer algorithms show potential for improving dermatologists' accuracy to diagnose cutaneous melanoma: Results of the International Skin Imaging Collaboration 2017.
Marchetti MA; Liopyris K; Dusza SW; Codella NCF; Gutman DA; Helba B; Kalloo A; Halpern AC;
J Am Acad Dermatol; 2020 Mar; 82(3):622-627. PubMed ID: 31306724
[TBL] [Abstract][Full Text] [Related]
16. Validation of a Market-Approved Artificial Intelligence Mobile Health App for Skin Cancer Screening: A Prospective Multicenter Diagnostic Accuracy Study.
Sangers T; Reeder S; van der Vet S; Jhingoer S; Mooyaart A; Siegel DM; Nijsten T; Wakkee M
Dermatology; 2022; 238(4):649-656. PubMed ID: 35124665
[TBL] [Abstract][Full Text] [Related]
17. High-frequency ultrasound for diagnosing skin cancer in adults.
Dinnes J; Bamber J; Chuchu N; Bayliss SE; Takwoingi Y; Davenport C; Godfrey K; O'Sullivan C; Matin RN; Deeks JJ; Williams HC;
Cochrane Database Syst Rev; 2018 Dec; 12(12):CD013188. PubMed ID: 30521683
[TBL] [Abstract][Full Text] [Related]
18. Diagnostic capacity of skin tumor artificial intelligence-assisted decision-making software in real-world clinical settings.
Li CX; Fei WM; Shen CB; Wang ZY; Jing Y; Meng RS; Cui Y
Chin Med J (Engl); 2020 Sep; 133(17):2020-2026. PubMed ID: 32810047
[TBL] [Abstract][Full Text] [Related]
19. Federated Learning for Decentralized Artificial Intelligence in Melanoma Diagnostics.
Haggenmüller S; Schmitt M; Krieghoff-Henning E; Hekler A; Maron RC; Wies C; Utikal JS; Meier F; Hobelsberger S; Gellrich FF; Sergon M; Hauschild A; French LE; Heinzerling L; Schlager JG; Ghoreschi K; Schlaak M; Hilke FJ; Poch G; Korsing S; Berking C; Heppt MV; Erdmann M; Haferkamp S; Drexler K; Schadendorf D; Sondermann W; Goebeler M; Schilling B; Kather JN; Fröhling S; Brinker TJ
JAMA Dermatol; 2024 Mar; 160(3):303-311. PubMed ID: 38324293
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]