Application of machine learning for lung cancer survival prognostication-A systematic review and meta-analysis.
Alexander J Didier et al. Front Artif Intell 2024 71365777
Application value of the automated machine learning model based on modified CT index combined with serological indices in the early prediction of lung cancer.
Leyuan Meng et al. Front Public Health 2024 121368217
Artificial Intelligence for breast cancer detection: Technology, challenges, and prospects.
Oliver Díaz et al. Eur J Radiol 2024 175111457
Comparing preferences for skin cancer screening: AI-enabled app vs dermatologist.
Susanne Gaube et al. Soc Sci Med 2024 349116871
Predicting non-muscle invasive bladder cancer outcomes using artificial intelligence: a systematic review using APPRAISE-AI.
Jethro C C Kwong et al. NPJ Digit Med 2024 7(1) 98
Predicting the risk of lung cancer using machine learning: A large study based on UK Biobank.
Siqi Zhang et al. Medicine (Baltimore) 2024 103(16) e37879
A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma.
Ji Won Han et al. Clin Cancer Res 2024
Prediction of tumor origin in cancers of unknown primary origin with cytology-based deep learning.
Fei Tian et al. Nat Med 2024
Identifying dementia from cognitive footprints in hospital records among Chinese older adults: a machine-learning study.
Jiayi Zhou et al. Lancet Reg Health West Pac 2024 46101060
Harnessing Artificial Intelligence to Address Oral Health Disparities.
Hawazin W Elani et al. JAMA Health Forum 2024 5(4) e240642
Public Health Legal Protections in an Era of Artificial Intelligence.
James G Hodge et al. Am J Public Health 2024 e1-e5
Applying Machine Learning Techniques to Implementation Science.
Nathalie Huguet et al. Online J Public Health Inform 2024 16e50201
Big data. Big potential. Big problems?
Stephen W West et al. BMJ Open Sport Exerc Med 2024 10(2) e001994
Potential of artificial intelligence in public health disaster and emergency management.
O Ali Maher et al. Public Health 2024
The Role of Artificial Intelligence in Identifying Depression and Anxiety: A Comprehensive Literature Review.
Fabeha Zafar et al. Cureus 2024 16(3) e56472
A different way to diagnosis acute appendicitis: machine learning.
Ahmet Tarik Harmantepe et al. Pol Przegl Chir 2024 96(2) 38-43
Enhanced Cardiovascular Disease Prediction Modelling using Machine Learning Techniques: A Focus on CardioVitalnet.
Chukwuebuka Joseph Ejiyi et al. Network 2024 1-33
A comprehensive benchmark for COVID-19 predictive modeling using electronic health records in intensive care.
Junyi Gao et al. Patterns (N Y) 2024 5(4) 100951
Machine Learning Algorithms to Predict Colistin-Induced Nephrotoxicity from Electronic Health Records in Patients with Multidrug-Resistant Gram-Negative Infection.
Ling-Wan Chiu et al. Int J Antimicrob Agents 2024 107175
Causal machine learning for predicting treatment outcomes.
Stefan Feuerriegel et al. Nat Med 2024 30(4) 958-968
Content Index
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About Scan
This update features emerging roles of big data science, machine learning, and predictive analytics across the life span. The scan focuses on various conditions including, birth defects, newborn screening, reproductive health, childhood diseases, cancer, chronic diseases, medication, family health history, guidelines and recommendations. The sweep also includes news, reviews, commentaries, tools and database.
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
- Page last updated:Apr 25, 2024
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