118 related articles for article (PubMed ID: 35576849)
1. Artificial intelligence-powered programmed death ligand 1 analyser reduces interobserver variation in tumour proportion score for non-small cell lung cancer with better prediction of immunotherapy response.
Choi S; Cho SI; Ma M; Park S; Pereira S; Aum BJ; Shin S; Paeng K; Yoo D; Jung W; Ock CY; Lee SH; Choi YL; Chung JH; Mok TS; Kim H; Kim S
Eur J Cancer; 2022 Jul; 170():17-26. PubMed ID: 35576849
[TBL] [Abstract][Full Text] [Related]
2. Clinical Validation of Artificial Intelligence-Powered PD-L1 Tumor Proportion Score Interpretation for Immune Checkpoint Inhibitor Response Prediction in Non-Small Cell Lung Cancer.
Kim H; Kim S; Choi S; Park C; Park S; Pereira S; Ma M; Yoo D; Paeng K; Jung W; Park S; Ock CY; Lee SH; Choi YL; Chung JH
JCO Precis Oncol; 2024 May; 8():e2300556. PubMed ID: 38723233
[TBL] [Abstract][Full Text] [Related]
3. An artificial intelligence-powered PD-L1 combined positive score (CPS) analyser in urothelial carcinoma alleviating interobserver and intersite variability.
Lee KS; Choi E; Cho SI; Park S; Ryu J; Puche AV; Ma M; Park J; Jung W; Ro J; Kim S; Park G; Song S; Ock CY; Choe G; Park JH
Histopathology; 2024 Mar; ():. PubMed ID: 38477366
[TBL] [Abstract][Full Text] [Related]
4. Comparing deep learning and pathologist quantification of cell-level PD-L1 expression in non-small cell lung cancer whole-slide images.
van Eekelen L; Spronck J; Looijen-Salamon M; Vos S; Munari E; Girolami I; Eccher A; Acs B; Boyaci C; de Souza GS; Demirel-Andishmand M; Meesters LD; Zegers D; van der Woude L; Theelen W; van den Heuvel M; Grünberg K; van Ginneken B; van der Laak J; Ciompi F
Sci Rep; 2024 Mar; 14(1):7136. PubMed ID: 38531958
[TBL] [Abstract][Full Text] [Related]
5. A Deep Learning-Based Assay for Programmed Death Ligand 1 Immunohistochemistry Scoring in Non-Small Cell Lung Carcinoma: Does it Help Pathologists Score?
Ito H; Yoshizawa A; Terada K; Nakakura A; Rokutan-Kurata M; Sugimoto T; Nishimura K; Nakajima N; Sumiyoshi S; Hamaji M; Menju T; Date H; Morita S; Bise R; Haga H
Mod Pathol; 2024 Apr; 37(6):100485. PubMed ID: 38588885
[TBL] [Abstract][Full Text] [Related]
6. Scoring PD-L1 Expression in Urothelial Carcinoma: An International Multi-Institutional Study on Comparison of Manual and Artificial Intelligence Measurement Model (AIM-PD-L1) Pathology Assessments.
Rüschoff J; Kumar G; Badve S; Jasani B; Krause E; Rioux-Leclercq N; Rojo F; Martini M; Cheng L; Tretiakova M; Mitchell C; Anders RA; Robert ME; Fahy D; Pyle M; Le Q; Yu L; Glass B; Baxi V; Babadjanova Z; Pratt J; Brutus S; Karasarides M; Hartmann A
Virchows Arch; 2024 Apr; 484(4):597-608. PubMed ID: 38570364
[TBL] [Abstract][Full Text] [Related]
7. PD-L1 Assessment in Needle Core Biopsies of Non-Small Cell Lung Cancer: Interpathologist Agreement and Potential Associated Histopathological Features.
Hacihasanoglu E; Bambul Sigirci B; Usul G; Savli TC
Turk Patoloji Derg; 2024; 40(1):37-44. PubMed ID: 37614090
[TBL] [Abstract][Full Text] [Related]
8. Weakly Supervised Deep Learning Predicts Immunotherapy Response in Solid Tumors Based on PD-L1 Expression.
Ligero M; Serna G; El Nahhas OSM; Sansano I; Mauchanski S; Viaplana C; Calderaro J; Toledo RA; Dienstmann R; Vanguri RS; Sauter JL; Sanchez-Vega F; Shah SP; Ramón Y Cajal S; Garralda E; Nuciforo P; Perez-Lopez R; Kather JN
Cancer Res Commun; 2024 Jan; 4(1):92-102. PubMed ID: 38126740
[TBL] [Abstract][Full Text] [Related]
9. A Fully Automated Artificial Intelligence System to Assist Pathologists' Diagnosis to Predict Histologically High-grade Urothelial Carcinoma from Digitized Urine Cytology Slides Using Deep Learning.
Tsuji K; Kaneko M; Harada Y; Fujihara A; Ueno K; Nakanishi M; Konishi E; Takamatsu T; Horiguchi G; Teramukai S; Ito-Ihara T; Ukimura O
Eur Urol Oncol; 2024 Apr; 7(2):258-265. PubMed ID: 38065702
[TBL] [Abstract][Full Text] [Related]
10. Artificial intelligence enhances whole-slide interpretation of PD-L1 CPS in triple-negative breast cancer: A multi-institutional ring study.
Li J; Dong P; Wang X; Zhang J; Zhao M; Shen H; Cai L; He J; Han M; Miao J; Liu H; Yang W; Han X; Liu Y
Histopathology; 2024 May; ():. PubMed ID: 38747491
[TBL] [Abstract][Full Text] [Related]
11. Multi-omics and artificial intelligence predict clinical outcomes of immunotherapy in non-small cell lung cancer patients.
Mei T; Wang T; Zhou Q
Clin Exp Med; 2024 Mar; 24(1):60. PubMed ID: 38554212
[TBL] [Abstract][Full Text] [Related]
12. How can artificial intelligence models assist PD-L1 expression scoring in breast cancer: results of multi-institutional ring studies.
Wang X; Wang L; Bu H; Zhang N; Yue M; Jia Z; Cai L; He J; Wang Y; Xu X; Li S; Xiao K; Yan K; Tian K; Han X; Huang J; Yao J; Liu Y
NPJ Breast Cancer; 2021 May; 7(1):61. PubMed ID: 34039982
[TBL] [Abstract][Full Text] [Related]
13. A pipeline for evaluation of machine learning/AI models to quantify PD-L1 immunohistochemistry.
Knudsen BS; Jadhav A; Perry LJ; Thagaard J; Deftereos G; Ying J; Brintz BJ; Zhang W
Lab Invest; 2024 Apr; ():102070. PubMed ID: 38677590
[TBL] [Abstract][Full Text] [Related]
14. Artificial Intelligence-Powered Assessment of Pathologic Response to Neoadjuvant Atezolizumab in Patients With NSCLC: Results From the LCMC3 Study.
Dacic S; Travis WD; Giltnane JM; Kos F; Abel J; Hilz S; Fujimoto J; Sholl L; Ritter J; Khalil F; Liu Y; Taylor-Weiner A; Resnick M; Yu H; Hirsch FR; Bunn PA; Carbone DP; Rusch V; Kwiatkowski DJ; Johnson BE; Lee JM; Hennek SR; Wapinski I; Nicholas A; Johnson A; Schulze K; Kris MG; Wistuba II
J Thorac Oncol; 2024 May; 19(5):719-731. PubMed ID: 38070597
[TBL] [Abstract][Full Text] [Related]
15. Accuracy and efficiency of an artificial intelligence tool when counting breast mitoses.
Pantanowitz L; Hartman D; Qi Y; Cho EY; Suh B; Paeng K; Dhir R; Michelow P; Hazelhurst S; Song SY; Cho SY
Diagn Pathol; 2020 Jul; 15(1):80. PubMed ID: 32622359
[TBL] [Abstract][Full Text] [Related]
16. Artificial intelligence algorithm accurately assesses oestrogen receptor immunohistochemistry in metastatic breast cancer cytology specimens: A pilot study.
Li BC; Hammond S; Parwani AV; Shen R
Cytopathology; 2024 Mar; ():. PubMed ID: 38519745
[TBL] [Abstract][Full Text] [Related]
17. Artificial intelligence for predictive biomarker discovery in immuno-oncology: a systematic review.
Prelaj A; Miskovic V; Zanitti M; Trovo F; Genova C; Viscardi G; Rebuzzi SE; Mazzeo L; Provenzano L; Kosta S; Favali M; Spagnoletti A; Castelo-Branco L; Dolezal J; Pearson AT; Lo Russo G; Proto C; Ganzinelli M; Giani C; Ambrosini E; Turajlic S; Au L; Koopman M; Delaloge S; Kather JN; de Braud F; Garassino MC; Pentheroudakis G; Spencer C; Pedrocchi ALG
Ann Oncol; 2024 Jan; 35(1):29-65. PubMed ID: 37879443
[TBL] [Abstract][Full Text] [Related]
18. Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non-Small Cell Lung Cancer.
Rigamonti A; Viatore M; Polidori R; Rahal D; Erreni M; Fumagalli MR; Zanini D; Doni A; Putignano AR; Bossi P; Voulaz E; Alloisio M; Rossi S; Zucali PA; Santoro A; Balzano V; Nisticò P; Feuerhake F; Mantovani A; Locati M; Marchesi F
Cancer Res; 2024 Apr; 84(7):1165-1177. PubMed ID: 38315789
[TBL] [Abstract][Full Text] [Related]
19. Survey of liver pathologists to assess attitudes towards digital pathology and artificial intelligence.
McGenity C; Randell R; Bellamy C; Burt A; Cratchley A; Goldin R; Hubscher SG; Neil DAH; Quaglia A; Tiniakos D; Wyatt J; Treanor D
J Clin Pathol; 2023 Dec; 77(1):27-33. PubMed ID: 36599660
[TBL] [Abstract][Full Text] [Related]
20. Applications of Artificial Intelligence in Lung Pathology.
Hartman DJ
Surg Pathol Clin; 2024 Jun; 17(2):321-328. PubMed ID: 38692814
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]