Independent evaluation of 12 artificial intelligence solutions for the detection of tuberculosis
出版年份 2021 全文链接
标题
Independent evaluation of 12 artificial intelligence solutions for the detection of tuberculosis
作者
关键词
-
出版物
Scientific Reports
Volume 11, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-12-13
DOI
10.1038/s41598-021-03265-0
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- International evaluation of an AI system for breast cancer screening
- (2020) Scott Mayer McKinney et al. NATURE
- Deep learning, computer-aided radiography reading for tuberculosis: a diagnostic accuracy study from a tertiary hospital in India
- (2020) Madlen Nash et al. Scientific Reports
- The second national tuberculosis prevalence survey in Vietnam
- (2020) Hai Viet Nguyen et al. PLoS One
- The emerging roles of artificial intelligence in cancer drug development and precision therapy
- (2020) Guosheng Liang et al. BIOMEDICINE & PHARMACOTHERAPY
- A comparative impact evaluation of two human resource models for community-based active tuberculosis case finding in Ho Chi Minh City, Viet Nam
- (2020) Luan Nguyen Quang Vo et al. BMC PUBLIC HEALTH
- Automated chest radiography and mass systematic screening for tuberculosis
- (2020) F. Madhani et al. INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE
- Subclinical tuberculosis disease - a review and analysis of prevalence surveys to inform definitions, burden, associations and screening methodology
- (2020) Beatrice Frascella et al. CLINICAL INFECTIOUS DISEASES
- Artificial intelligence in drug discovery and development
- (2020) Debleena Paul et al. DRUG DISCOVERY TODAY
- National tuberculosis prevalence surveys in Africa, 2008–2016: an overview of results and lessons learned
- (2020) Irwin Law et al. TROPICAL MEDICINE & INTERNATIONAL HEALTH
- Evaluating the yield of systematic screening for tuberculosis among three priority groups in Ho Chi Minh City, Viet Nam
- (2020) Luan Nguyen Quang Vo et al. Infectious Diseases of Poverty
- A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest x-rays for pulmonary tuberculosis
- (2019) Miriam Harris et al. PLoS One
- Mobile community-based active case-finding for tuberculosis among older populations in rural Cambodia
- (2019) O. Camelique et al. INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE
- Artificial Intelligence, Radiology, and Tuberculosis: A Review
- (2019) Sagar Kulkarni et al. ACADEMIC RADIOLOGY
- A Systematic Review of Fatigue in Radiology: Is It a Problem?
- (2018) Nadia Stec et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- False-Positive Xpert MTB/RIF Results in Retested Patients with Previous Tuberculosis: Frequency, Profile, and Prospective Clinical Outcomes
- (2018) Grant Theron et al. JOURNAL OF CLINICAL MICROBIOLOGY
- The long and winding road of chest radiography for tuberculosis detection
- (2017) Cecily Miller et al. EUROPEAN RESPIRATORY JOURNAL
- An evaluation of automated chest radiography reading software for tuberculosis screening among public- and private-sector patients
- (2017) Md Toufiq Rahman et al. EUROPEAN RESPIRATORY JOURNAL
- Bringing state-of-the-art diagnostics to vulnerable populations: The use of a mobile screening unit in active case finding for tuberculosis in Palawan, the Philippines
- (2017) Fukushi Morishita et al. PLoS One
- Computer-aided detection of pulmonary tuberculosis on digital chest radiographs: a systematic review
- (2016) T. Pande et al. INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE
- Use of chest radiography in the 22 highest tuberculosis burden countries: TABLE 1
- (2015) Tripti Pande et al. EUROPEAN RESPIRATORY JOURNAL
- National tuberculosis prevalence surveys in Asia, 1990-2012: an overview of results and lessons learned
- (2015) Ikushi Onozaki et al. TROPICAL MEDICINE & INTERNATIONAL HEALTH
- Automated chest-radiography as a triage for Xpert testing in resource-constrained settings: a prospective study of diagnostic accuracy and costs
- (2015) R. H. H. M. Philipsen et al. Scientific Reports
- A Multi-Site Evaluation of Innovative Approaches to Increase Tuberculosis Case Notification: Summary Results
- (2014) Jacob Creswell et al. PLoS One
- Diagnostic Accuracy of Computer-Aided Detection of Pulmonary Tuberculosis in Chest Radiographs: A Validation Study from Sub-Saharan Africa
- (2014) Marianne Breuninger et al. PLoS One
- Detection of tuberculosis using digital chest radiography: automated reading vs. interpretation by clinical officers
- (2013) P. Maduskar et al. INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now