Perin J, Mulick A, Yeung D, et al. Global, regional, and national causes of under-5 mortality in 2000–19: an updated systematic analysis with implications for the Sustainable Development Goals. Lancet Child Adolesc Health. 2022;6(2):106–15.

PubMed  PubMed Central  Google Scholar 

GBD 2021 Causes of Death Collaborators. Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet. 2024. 403(10440): 2100–2132.

GBD 2021 Lower Respiratory Infections and Antimicrobial Resistance Collaborators. Global, regional, and national incidence and mortality burden of non-COVID-19 lower respiratory infections and aetiologies, 1990–2021: a systematic analysis from the Global Burden of Disease Study 2021. Lancet Infect Dis. 2024. 24(9): 974–1002.

Niederman MS, Torres A. Severe community-acquired pneumonia. Eur Respir Rev. 2022;31(166): 220123.

PubMed  PubMed Central  Google Scholar 

Aliberti S, Dela Cruz CS, Amati F, Sotgiu G, Restrepo MI. Community-acquired pneumonia. Lancet. 2021;398(10303):906–19.

PubMed  Google Scholar 

Bos L, Ware LB. Acute respiratory distress syndrome: causes, pathophysiology, and phenotypes. Lancet. 2022;400(10358):1145–56.

PubMed  Google Scholar 

Fan Z, Xueping N. Construction of a machine learning model based on serum indicators and lung ultrasound features for the prediction of respiratory failure in children with severe pneumonia. Chin J Appl Clin Pediar. 2025;40(03):194–200.

Google Scholar 

Cilloniz C, Ward L, Mogensen ML, et al. Machine-learning model for mortality prediction in patients with community-acquired pneumonia: development and validation study. Chest. 2023;163(1):77–88.

PubMed  Google Scholar 

Meng F, Kottlors J, Shahzad R, et al. AI support for accurate and fast radiological diagnosis of COVID-19: an international multicenter, multivendor CT study. Eur Radiol. 2023;33(6):4280–91.

PubMed  Google Scholar 

Shakibfar S, Andersen M, Sessa M. AI-based disease risk score for community-acquired pneumonia hospitalization. iScience. 2023;26(7):107027.

PubMed  PubMed Central  Google Scholar 

Barbieri MA, Battini V, Sessa M. Artificial intelligence for the optimal management of community-acquired pneumonia. Curr Opin Pulm Med. 2024;30(3):252–7.

PubMed  Google Scholar 

Shao J, Ma J, Yu Y, et al. A multimodal integration pipeline for accurate diagnosis, pathogen identification, and prognosis prediction of pulmonary infections. Innovation (Cambridge). 2024;5(4):100648.

CAS  Google Scholar 

Zhou Y, Mei S, Wang J, et al. Development and validation of a deep learning-based framework for automated lung CT segmentation and acute respiratory distress syndrome prediction: a multicenter cohort study. EClinicalMedicine. 2024;75:102772.

PubMed  PubMed Central  Google Scholar 

Wang C, Ma J, Zhang S, et al. Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases. NPJ Digit Med. 2022;5(1):124.

CAS  PubMed  PubMed Central  Google Scholar 

Subspecialty Group of Respiratory, the Society of Pediatrics, Chinese Medical Association, Editorial Board, Chinese Journal of Pediatrics, China Medicine Education Association Committee on Pediatrics. Guidelines for the management of community-acquired pneumonia in children (2024 revision). Zhonghua Er Ke Za Zhi. 2024;62(10):920–30.

Google Scholar 

Grasselli G, Calfee CS, Camporota L, et al. ESICM guidelines on acute respiratory distress syndrome: definition, phenotyping and respiratory support strategies. Intensive Care Med. 2023;49(7):727–59.

PubMed  PubMed Central  Google Scholar 

Helms J, Catoire P, Abensur Vuillaume L, et al. Oxygen therapy in acute hypoxemic respiratory failure: guidelines from the SRLF-SFMU consensus conference. Ann Intensive Care. 2024;14(1):140.

PubMed  PubMed Central  Google Scholar 

Huang L, Han R, Ai T, et al. Serial quantitative chest CT assessment of COVID-19: a deep learning approach. Radiol Cardiothorac Imaging. 2020;2(2):e200075.

PubMed  PubMed Central  Google Scholar 

Zhang M, Yu S, Yin X, et al. An AI-based auxiliary empirical antibiotic therapy model for children with bacterial pneumonia using low-dose chest CT images. Jpn J Radiol. 2021;39(10):973–83.

CAS  PubMed  PubMed Central  Google Scholar 

Revel MP, Boussouar S, de Margerie-Mellon C, et al. Study of thoracic CT in COVID-19: the STOIC Project. Radiology. 2021;301(1):E361–70.

PubMed  Google Scholar 

Rahman AE, Hossain AT, Nair H, et al. Prevalence of hypoxaemia in children with pneumonia in low-income and middle-income countries: a systematic review and meta-analysis. Lancet Glob Health. 2022;10(3):e348–59.

CAS  PubMed  PubMed Central  Google Scholar 

Carson JL, Brooks MM, Hébert PC, et al. Restrictive or liberal transfusion strategy in myocardial infarction and anemia. N Engl J Med. 2023;389(26):2446–56.

CAS  PubMed  PubMed Central  Google Scholar 

Draelos RL, Dov D, Mazurowski MA, et al. Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes. Med Image Anal. 2021;67:101857.

PubMed  Google Scholar 

Hwang EJ, Park S, Jin KN, et al. Development and validation of a deep learning-based automated detection algorithm for major thoracic diseases on chest radiographs. JAMA Netw Open. 2019;2(3):e191095.

PubMed  PubMed Central  Google Scholar 

Olson G, Davis AM. Diagnosis and treatment of adults with community-acquired pneumonia. JAMA. 2020;323(9):885–6.

PubMed  Google Scholar 

Choi YH, Kim DH, Jeon ET, et al. Cluster analysis of thoracic muscle mass using artificial intelligence in severe pneumonia. Sci Rep. 2024;14(1):16912.

PubMed  PubMed Central  Google Scholar 

Zhang K, Liu X, Shen J, et al. Clinically applicable AI system for accurate diagnosis, quantitative measurements, and prognosis of COVID-19 pneumonia using computed tomography. Cell. 2020;182(5):1360.

CAS  PubMed  PubMed Central  Google Scholar 

Wang G, Liu X, Shen J, et al. Author correction: a deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images. Nat Biomed Eng. 2021;5(8):943.

CAS  PubMed  PubMed Central  Google Scholar 

Lessmann N, Sánchez CI, Beenen L, et al. Automated assessment of COVID-19 reporting and data system and chest CT severity scores in patients suspected of having COVID-19 using artificial intelligence. Radiology. 2021;298(1):E18–28.

PubMed  Google Scholar 

Domínguez-Rodríguez S, Liz-López H, Panizo-LLedot A, et al. Testing the performance, adequacy, and applicability of an artificial intelligence model for pediatric pneumonia diagnosis. Comput Methods Progr Biomed. 2023;242:107765.

Google Scholar 

Boehm KM, Khosravi P, Vanguri R, Gao J, Shah SP. Harnessing multimodal data integration to advance precision oncology. Nat Rev Cancer. 2022;22(2):114–26.

CAS  PubMed  Google Scholar 

Sammut SJ, Crispin-Ortuzar M, Chin SF, et al. Multi-omic machine learning predictor of breast cancer therapy response. Nature. 2022;601(7894):623–9.

CAS  PubMed  Google Scholar 

Mei X, Lee HC, Diao KY, et al. Artificial intelligence-enabled rapid diagnosis of patients with COVID-19. Nat Med. 2020;26(8):1224–8.

CAS  PubMed  PubMed Central  Google Scholar 

Moor M, Banerjee O, Abad Z, et al. Foundation models for generalist medical artificial intelligence. Nature. 2023;616(7956):259–65.

CAS  PubMed  Google Scholar 

Jullien S, Richard-Greenblatt M, Ngai M, et al. Performance of host-response biomarkers to risk-stratify children with pneumonia in Bhutan. J Infect. 2022;85(6):634–43.

CAS  PubMed  Google Scholar 

Xie K, Guan S, Kong X, et al. Predictors of mortality in severe pneumonia patients: a systematic review and meta-analysis. Syst Rev. 2024;13(1):210.

PubMed  PubMed Central  Google Scholar 

Wahl B, Knoll MD, Shet A, et al. National, regional, and state-level pneumonia and severe pneumonia morbidity in children in India: modelled estimates for 2000 and 2015. Lancet Child Adolesc Health. 2020;4(9):678–87.

PubMed  PubMed Central  Google Scholar