127 related articles for article (PubMed ID: 38893641)
21. Artificial intelligence-based model for lymph node metastases detection on whole slide images in bladder cancer: a retrospective, multicentre, diagnostic study.
Wu S; Hong G; Xu A; Zeng H; Chen X; Wang Y; Luo Y; Wu P; Liu C; Jiang N; Dang Q; Yang C; Liu B; Shen R; Chen Z; Liao C; Lin Z; Wang J; Lin T
Lancet Oncol; 2023 Apr; 24(4):360-370. PubMed ID: 36893772
[TBL] [Abstract][Full Text] [Related]
22. Pathologist Computer-Aided Diagnostic Scoring of Tumor Cell Fraction: A Swiss National Study.
Frei AL; Oberson R; Baumann E; Perren A; Grobholz R; Lugli A; Dawson H; Abbet C; Lertxundi I; Reinhard S; Mookhoek A; Feichtinger J; Sarro R; Gadient G; Dommann-Scherrer C; Barizzi J; Berezowska S; Glatz K; Dertinger S; Banz Y; Schoenegg R; Rubbia-Brandt L; Fleischmann A; Saile G; Mainil-Varlet P; Biral R; Giudici L; Soltermann A; Chaubert AB; Stadlmann S; Diebold J; Egervari K; Bénière C; Saro F; Janowczyk A; Zlobec I
Mod Pathol; 2023 Dec; 36(12):100335. PubMed ID: 37742926
[TBL] [Abstract][Full Text] [Related]
23. AI-based digital image dietary assessment methods compared to humans and ground truth: a systematic review.
Shonkoff E; Cara KC; Pei XA; Chung M; Kamath S; Panetta K; Hennessy E
Ann Med; 2023; 55(2):2273497. PubMed ID: 38060823
[TBL] [Abstract][Full Text] [Related]
24. Comparative Evaluation of Breast Ductal Carcinoma Grading: A Deep-Learning Model and General Pathologists' Assessment Approach.
Köteles MM; Vigdorovits A; Kumar D; Mihai IM; Jurescu A; Gheju A; Bucur A; Harich OO; Olteanu GE
Diagnostics (Basel); 2023 Jul; 13(14):. PubMed ID: 37510069
[TBL] [Abstract][Full Text] [Related]
25. A Deep-Learning-Based Artificial Intelligence System for the Pathology Diagnosis of Uterine Smooth Muscle Tumor.
Yu H; Luo S; Ji J; Wang Z; Zhi W; Mo N; Zhong P; He C; Wan T; Jin Y
Life (Basel); 2022 Dec; 13(1):. PubMed ID: 36675952
[TBL] [Abstract][Full Text] [Related]
26. 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 Jul; 35(4):464-472. PubMed ID: 38519745
[TBL] [Abstract][Full Text] [Related]
27. Creating an Innovative Artificial Intelligence-Based Technology (TCRact) for Designing and Optimizing T Cell Receptors for Use in Cancer Immunotherapies: Protocol for an Observational Trial.
Bujak J; Kłęk S; Balawejder M; Kociniak A; Wilkus K; Szatanek R; Orzeszko Z; Welanyk J; Torbicz G; Jęckowski M; Kucharczyk T; Wohadlo Ł; Borys M; Stadnik H; Wysocki M; Kayser M; Słomka ME; Kosmowska A; Horbacka K; Gach T; Markowska B; Kowalczyk T; Karoń J; Karczewski M; Szura M; Sanecka-Duin A; Blum A
JMIR Res Protoc; 2023 Jul; 12():e45872. PubMed ID: 37440307
[TBL] [Abstract][Full Text] [Related]
28. AI improves accuracy, agreement and efficiency of pathologists for Ki67 assessments in breast cancer.
Dy A; Nguyen NJ; Meyer J; Dawe M; Shi W; Androutsos D; Fyles A; Liu FF; Done S; Khademi A
Sci Rep; 2024 Jan; 14(1):1283. PubMed ID: 38218973
[TBL] [Abstract][Full Text] [Related]
29. Antibody-supervised deep learning for quantification of tumor-infiltrating immune cells in hematoxylin and eosin stained breast cancer samples.
Turkki R; Linder N; Kovanen PE; Pellinen T; Lundin J
J Pathol Inform; 2016; 7():38. PubMed ID: 27688929
[TBL] [Abstract][Full Text] [Related]
30. Can AI-assisted microscope facilitate breast HER2 interpretation? A multi-institutional ring study.
Yue M; Zhang J; Wang X; Yan K; Cai L; Tian K; Niu S; Han X; Yu Y; Huang J; Han D; Yao J; Liu Y
Virchows Arch; 2021 Sep; 479(3):443-449. PubMed ID: 34279719
[TBL] [Abstract][Full Text] [Related]
31. [New Trends of Development in Precision Pathological Diagnosis Promoted by Artificial Intelligence].
Bu H
Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Mar; 52(2):153-155. PubMed ID: 33829683
[TBL] [Abstract][Full Text] [Related]
32. Artificial intelligence for tumour tissue detection and histological regression grading in oesophageal adenocarcinomas: a retrospective algorithm development and validation study.
Tolkach Y; Wolgast LM; Damanakis A; Pryalukhin A; Schallenberg S; Hulla W; Eich ML; Schroeder W; Mukhopadhyay A; Fuchs M; Klein S; Bruns C; Büttner R; Gebauer F; Schömig-Markiefka B; Quaas A
Lancet Digit Health; 2023 May; 5(5):e265-e275. PubMed ID: 37100542
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. Automatic detection of mycobacterium tuberculosis using artificial intelligence.
Xiong Y; Ba X; Hou A; Zhang K; Chen L; Li T
J Thorac Dis; 2018 Mar; 10(3):1936-1940. PubMed ID: 29707349
[TBL] [Abstract][Full Text] [Related]
35. Assessment of a Diagnostic Classification System for Management of Lesions to Exclude Melanoma.
Katz I; O'Brien B; Clark S; Thompson CT; Schapiro B; Azzi A; Lilleyman A; Boyle T; Espartero LJL; Yamada M; Prow TW
JAMA Netw Open; 2021 Dec; 4(12):e2134614. PubMed ID: 34889949
[TBL] [Abstract][Full Text] [Related]
36. Clinical Validation of Artificial Intelligence-Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer Detection.
Raciti P; Sue J; Retamero JA; Ceballos R; Godrich R; Kunz JD; Casson A; Thiagarajan D; Ebrahimzadeh Z; Viret J; Lee D; Schüffler PJ; DeMuth G; Gulturk E; Kanan C; Rothrock B; Reis-Filho J; Klimstra DS; Reuter V; Fuchs TJ
Arch Pathol Lab Med; 2023 Oct; 147(10):1178-1185. PubMed ID: 36538386
[TBL] [Abstract][Full Text] [Related]
37. MB-AI-His: Histopathological Diagnosis of Pediatric Medulloblastoma and its Subtypes via AI.
Attallah O
Diagnostics (Basel); 2021 Feb; 11(2):. PubMed ID: 33672752
[TBL] [Abstract][Full Text] [Related]
38. Development of an artificial intelligence model for predicting the likelihood of human embryo euploidy based on blastocyst images from multiple imaging systems during IVF.
Diakiw SM; Hall JMM; VerMilyea MD; Amin J; Aizpurua J; Giardini L; Briones YG; Lim AYX; Dakka MA; Nguyen TV; Perugini D; Perugini M
Hum Reprod; 2022 Jul; 37(8):1746-1759. PubMed ID: 35674312
[TBL] [Abstract][Full Text] [Related]
39. Layered deep learning for automatic mandibular segmentation in cone-beam computed tomography.
Verhelst PJ; Smolders A; Beznik T; Meewis J; Vandemeulebroucke A; Shaheen E; Van Gerven A; Willems H; Politis C; Jacobs R
J Dent; 2021 Nov; 114():103786. PubMed ID: 34425172
[TBL] [Abstract][Full Text] [Related]
40. Application of convolutional neural network for analyzing hepatic fibrosis in mice.
Kim HJ; Baek EB; Hwang JH; Lim M; Jung WH; Bae MA; Son HY; Cho JW
J Toxicol Pathol; 2023 Jan; 36(1):21-30. PubMed ID: 36683726
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
