205 related articles for article (PubMed ID: 38197795)
1. AI for Detection of Tuberculosis: Implications for Global Health.
Hwang EJ; Jeong WG; David PM; Arentz M; Ruhwald M; Yoon SH
Radiol Artif Intell; 2024 Mar; 6(2):e230327. PubMed ID: 38197795
[TBL] [Abstract][Full Text] [Related]
2. Artificial intelligence-based computer aided detection (AI-CAD) in the fight against tuberculosis: Effects of moving health technologies in global health.
Onno J; Ahmad Khan F; Daftary A; David PM
Soc Sci Med; 2023 Jun; 327():115949. PubMed ID: 37207379
[TBL] [Abstract][Full Text] [Related]
3. Economic analysis of different throughput scenarios and implementation strategies of computer-aided detection software as a screening and triage test for pulmonary TB.
Bashir S; Kik SV; Ruhwald M; Khan A; Tariq M; Hussain H; Denkinger CM
PLoS One; 2022; 17(12):e0277393. PubMed ID: 36584194
[TBL] [Abstract][Full Text] [Related]
4. AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.
Hadjiiski L; Cha K; Chan HP; Drukker K; Morra L; Näppi JJ; Sahiner B; Yoshida H; Chen Q; Deserno TM; Greenspan H; Huisman H; Huo Z; Mazurchuk R; Petrick N; Regge D; Samala R; Summers RM; Suzuki K; Tourassi G; Vergara D; Armato SG
Med Phys; 2023 Feb; 50(2):e1-e24. PubMed ID: 36565447
[TBL] [Abstract][Full Text] [Related]
5. Deep learning, computer-aided radiography reading for tuberculosis: a diagnostic accuracy study from a tertiary hospital in India.
Nash M; Kadavigere R; Andrade J; Sukumar CA; Chawla K; Shenoy VP; Pande T; Huddart S; Pai M; Saravu K
Sci Rep; 2020 Jan; 10(1):210. PubMed ID: 31937802
[TBL] [Abstract][Full Text] [Related]
6. A new resource on artificial intelligence powered computer automated detection software products for tuberculosis programmes and implementers.
Qin ZZ; Naheyan T; Ruhwald M; Denkinger CM; Gelaw S; Nash M; Creswell J; Kik SV
Tuberculosis (Edinb); 2021 Mar; 127():102049. PubMed ID: 33440315
[TBL] [Abstract][Full Text] [Related]
7. Evaluation of an artificial intelligence (AI) system to detect tuberculosis on chest X-ray at a pilot active screening project in Guangdong, China in 2019.
Liao Q; Feng H; Li Y; Lai X; Pan J; Zhou F; Zhou L; Chen L
J Xray Sci Technol; 2022; 30(2):221-230. PubMed ID: 34924433
[TBL] [Abstract][Full Text] [Related]
8. Computer-aided detection in chest radiography based on artificial intelligence: a survey.
Qin C; Yao D; Shi Y; Song Z
Biomed Eng Online; 2018 Aug; 17(1):113. PubMed ID: 30134902
[TBL] [Abstract][Full Text] [Related]
9. Deep Learning for Detection of Pulmonary Metastasis on Chest Radiographs.
Hwang EJ; Lee JS; Lee JH; Lim WH; Kim JH; Choi KS; Choi TW; Kim TH; Goo JM; Park CM
Radiology; 2021 Nov; 301(2):455-463. PubMed ID: 34463551
[TBL] [Abstract][Full Text] [Related]
10. AI-based computer-aided diagnostic system of chest digital tomography synthesis: Demonstrating comparative advantage with X-ray-based AI systems.
Kim K; Lee JH; Je Oh S; Chung MJ
Comput Methods Programs Biomed; 2023 Oct; 240():107643. PubMed ID: 37348439
[TBL] [Abstract][Full Text] [Related]
11. Artificial Intelligence in Paediatric Tuberculosis.
Naidoo J; Shelmerdine SC; -Charcape CFU; Sodhi AS
Pediatr Radiol; 2023 Aug; 53(9):1733-1745. PubMed ID: 36707428
[TBL] [Abstract][Full Text] [Related]
12. Applicability of artificial intelligence-based computer-aided detection (AI-CAD) for pulmonary tuberculosis to community-based active case finding.
Okada K; Yamada N; Takayanagi K; Hiasa Y; Kitamura Y; Hoshino Y; Hirao S; Yoshiyama T; Onozaki I; Kato S
Trop Med Health; 2024 Jan; 52(1):2. PubMed ID: 38163868
[TBL] [Abstract][Full Text] [Related]
13. Application of artificial intelligence in digital chest radiography reading for pulmonary tuberculosis screening.
Cao XF; Li Y; Xin HN; Zhang HR; Pai M; Gao L
Chronic Dis Transl Med; 2021 Mar; 7(1):35-40. PubMed ID: 34013178
[TBL] [Abstract][Full Text] [Related]
14. AI Improves Nodule Detection on Chest Radiographs in a Health Screening Population: A Randomized Controlled Trial.
Nam JG; Hwang EJ; Kim J; Park N; Lee EH; Kim HJ; Nam M; Lee JH; Park CM; Goo JM
Radiology; 2023 Apr; 307(2):e221894. PubMed ID: 36749213
[TBL] [Abstract][Full Text] [Related]
15. Artificial Intelligence, Radiology, and Tuberculosis: A Review.
Kulkarni S; Jha S
Acad Radiol; 2020 Jan; 27(1):71-75. PubMed ID: 31759796
[TBL] [Abstract][Full Text] [Related]
16. Computer-aided diagnosis in the era of deep learning.
Chan HP; Hadjiiski LM; Samala RK
Med Phys; 2020 Jun; 47(5):e218-e227. PubMed ID: 32418340
[TBL] [Abstract][Full Text] [Related]
17. AI-based computer-aided diagnosis (AI-CAD): the latest review to read first.
Fujita H
Radiol Phys Technol; 2020 Mar; 13(1):6-19. PubMed ID: 31898014
[TBL] [Abstract][Full Text] [Related]
18. A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest x-rays for pulmonary tuberculosis.
Harris M; Qi A; Jeagal L; Torabi N; Menzies D; Korobitsyn A; Pai M; Nathavitharana RR; Ahmad Khan F
PLoS One; 2019; 14(9):e0221339. PubMed ID: 31479448
[TBL] [Abstract][Full Text] [Related]
19. Developing and Evaluating an AI-Based Computer-Aided Diagnosis System for Retinal Disease: Diagnostic Study for Central Serous Chorioretinopathy.
Yoon J; Han J; Ko J; Choi S; Park JI; Hwang JS; Han JM; Hwang DD
J Med Internet Res; 2023 Nov; 25():e48142. PubMed ID: 38019564
[TBL] [Abstract][Full Text] [Related]
20. Incidental radiological findings during clinical tuberculosis screening in Lesotho and South Africa: a case series.
Glaser N; Bosman S; Madonsela T; van Heerden A; Mashaete K; Katende B; Ayakaka I; Murphy K; Signorell A; Lynen L; Bremerich J; Reither K
J Med Case Rep; 2023 Aug; 17(1):365. PubMed ID: 37620921
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]