Published on in Vol 23, No 8 (2021): August
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/26256, first published
.

Journals
- Ahmed F, Khan A, Ansari H, Haque A. A Systems Biology and LASSO-Based Approach to Decipher the Transcriptome–Interactome Signature for Predicting Non-Small Cell Lung Cancer. Biology 2022;11(12):1752 View
- Koshechkin K. Regulation of artificial intelligence in medicine. Patient-Oriented Medicine and Pharmacy 2023;1(1):32 View
- Li S, Deng L, Zhang X, Chen L, Yang T, Qi Y, Jiang T. Deep Phenotyping of Chinese Electronic Health Records by Recognizing Linguistic Patterns of Phenotypic Narratives With a Sequence Motif Discovery Tool: Algorithm Development and Validation. Journal of Medical Internet Research 2022;24(6):e37213 View
- Yu X, Zhou S, Zou H, Wang Q, Liu C, Zang M, Liu T. Survey of deep learning techniques for disease prediction based on omics data. Human Gene 2023;35:201140 View
- Raghu V, Walia A, Zinzuwadia A, Goiffon R, Shepard J, Aerts H, Lennes I, Lu M. Validation of a Deep Learning–Based Model to Predict Lung Cancer Risk Using Chest Radiographs and Electronic Medical Record Data. JAMA Network Open 2022;5(12):e2248793 View
- Chen A, Chen D. Simulation of a machine learning enabled learning health system for risk prediction using synthetic patient data. Scientific Reports 2022;12(1) View
- Nguyen P, Rathod A, Chapman D, Prathapan S, Menon S, Morris M, Yesha Y. Active Semi-Supervised Learning via Bayesian Experimental Design for Lung Cancer Classification Using Low Dose Computed Tomography Scans. Applied Sciences 2023;13(6):3752 View
- Adams S, Mikhael P, Wohlwend J, Barzilay R, Sequist L, Fintelmann F. Artificial Intelligence and Machine Learning in Lung Cancer Screening. Thoracic Surgery Clinics 2023;33(4):401 View
- El-Sherbini A, Hassan Virk H, Wang Z, Glicksberg B, Krittanawong C. Machine-Learning-Based Prediction Modelling in Primary Care: State-of-the-Art Review. AI 2023;4(2):437 View
- Pungitore S, Subbian V. Assessment of Prediction Tasks and Time Window Selection in Temporal Modeling of Electronic Health Record Data: a Systematic Review. Journal of Healthcare Informatics Research 2023;7(3):313 View
- Khodadadi A, Ghanbari Bousejin N, Molaei S, Kumar Chauhan V, Zhu T, Clifton D. Improving Diagnostics with Deep Forest Applied to Electronic Health Records. Sensors 2023;23(14):6571 View
- Gandhi Z, Gurram P, Amgai B, Lekkala S, Lokhandwala A, Manne S, Mohammed A, Koshiya H, Dewaswala N, Desai R, Bhopalwala H, Ganti S, Surani S. Artificial Intelligence and Lung Cancer: Impact on Improving Patient Outcomes. Cancers 2023;15(21):5236 View
- Ma Z, Lv J, Zhu M, Yu C, Ma H, Jin G, Guo Y, Bian Z, Yang L, Chen Y, Chen Z, Hu Z, Li L, Shen H. Lung cancer risk score for ever and never smokers in China. Cancer Communications 2023;43(8):877 View
- Chen H, Wang H, Lin C, Yang R, Lee C. Lung Cancer Prediction Using Electronic Claims Records: A Transformer-Based Approach. IEEE Journal of Biomedical and Health Informatics 2023;27(12):6062 View
- Grandal N, Muzumdar S, Khan N, Ahmed N. Artificial intelligence will transform healthcare: considerations for adoption and scale. British Journal of Healthcare Management 2024;30(1):8 View
- Panda S, Naga Ramesh J, Ghosh H, Rahat I, Sobur A, Bijoy M, Yesubabu M. Deep Learning in Medical Imaging: A Case Study on Lung Tissue Classification. EAI Endorsed Transactions on Pervasive Health and Technology 2024;10 View
- Uppal S, Kumar Shrivastava P, Khan A, Sharma A, Kumar Shrivastav A. Machine learning methods in predicting the risk of malignant transformation of oral potentially malignant disorders: A systematic review. International Journal of Medical Informatics 2024;186:105421 View
- Ghosh H, Rahat I, Ravindra J, J B, Ullah Khan M, Somasekar J. Convolutional Neural Networks in Malaria Diagnosis: A Study on Cell Image Classification. EAI Endorsed Transactions on Pervasive Health and Technology 2024;10 View
- Chen A, Wu E, Huang R, Shen B, Han R, Wen J, Zhang Z, Li Q. Development of Lung Cancer Risk Prediction Machine Learning Models for Equitable Learning Health System: Retrospective Study. JMIR AI 2024;3:e56590 View
- Lee W, Yoo K, Noh J, Lee M. Health expenditure trajectory and gastric cancer incidence in the National Health Insurance Senior Cohort: a nested case-control study. BMC Health Services Research 2024;24(1) View
- Zhou T, Zhu P, Xia K, Zhao B. A Predictive Model Integrating AI Recognition Technology and Biomarkers for Lung Nodule Assessment. The Thoracic and Cardiovascular Surgeon 2025;73(02):174 View
- Birdi S, Rabet R, Durant S, Patel A, Vosoughi T, Shergill M, Costanian C, Ziegler C, Ali S, Buckeridge D, Ghassemi M, Gibson J, John-Baptiste A, Macklin J, McCradden M, McKenzie K, Mishra S, Naraei P, Owusu-Bempah A, Rosella L, Shaw J, Upshur R, Pinto A. Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review. BMC Public Health 2024;24(1) View
- Kim T, Shin H, Song Y, Lee J, Kim H, Shin D. Artificial intelligence software for detecting unsuspected lung cancer on chest radiographs in an asymptomatic population. Radiology Advances 2025;2(1) View
- Moglia V, Johnson O, Cook G, de Kamps M, Smith L. Artificial intelligence methods applied to longitudinal data from electronic health records for prediction of cancer: a scoping review. BMC Medical Research Methodology 2025;25(1) View
- Goel I, Bhaskar Y, Kumar N, Singh S, Amanullah M, Dhar R, Karmakar S. Role of AI in empowering and redefining the oncology care landscape: perspective from a developing nation. Frontiers in Digital Health 2025;7 View
- Dennison R, Clune R, Tung J, John S, Moorthie S, Waller J, Usher-Smith J. Societal views on using risk-based innovations to inform cancer screening and referral policies: findings from three community juries. BMC Public Health 2025;25(1) View
- Kotoulas S, Spyratos D, Porpodis K, Domvri K, Boutou A, Kaimakamis E, Mouratidou C, Alevroudis I, Dourliou V, Tsakiri K, Sakkou A, Marneri A, Angeloudi E, Papagiouvanni I, Michailidou A, Malandris K, Mourelatos C, Tsantos A, Pataka A. A Thorough Review of the Clinical Applications of Artificial Intelligence in Lung Cancer. Cancers 2025;17(5):882 View
- Tuomi L, Parris T, Rawshani A, Andersson E, Orozco A, Finizia C, Chang C. Genetic, clinical, lifestyle and sociodemographic risk factors for head and neck cancer: A UK Biobank study. PLOS ONE 2025;20(4):e0318889 View
- Leonard S, Patel M, Zhou Z, Le H, Mondal P, Adams S. Comparing Artificial Intelligence and Traditional Regression Models in Lung Cancer Risk Prediction Using A Systematic Review and Meta-Analysis. Journal of the American College of Radiology 2025;22(6):675 View
- Felici A, Peduzzi G, Pellungrini R, Campa D. Artificial intelligence to predict cancer risk, are we there yet? A comprehensive review across cancer types. European Journal of Cancer 2025;222:115440 View
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- Wang B, Liu Y, Tian H, Hua R, Chang K, Xia J, Dai X, Gao Z, Liu S, Wang R, Zhou X, Wei W. LLM4DEU: Fine Tuning Large Language Model for Medical Diagnosis in Outpatient and Emergency Department Visits of Neurosurgery. Tsinghua Science and Technology 2025;30(6):2487 View
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- Emmanuel Ifeoluwa Oyerinde , Abosede Ibironke Ojo , Adedoyin Samuel Adebanjo , Aisha Omorinbola Ajao , Afoluwajuwonlo Obaoye , Opeyemi Adelowo , Royce Nwoko , Emmanuel Alexander , Chidalu Chukwudebelu . Lung Cancer Prediction Using Machine Learning: A Comparative Analysis of KNN, SVM, Random Forest, and Logistic Regression. International Journal of Advanced Research in Science, Communication and Technology 2025:53 View
Books/Policy Documents
- Zareian F, Rezaei N. Lung Cancer Diagnosis and Treatment: An Interdisciplinary Approach. View
- Baptiste J, Barta J, Patel S, Thomson C, Tukey M, Michaud G. Lung Cancer Screening. View
- Yadav S, Hasija Y. Computational Intelligence in Oncology. View
- Yang H, Li Y. Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases. View
- Devkar A, Kanade A. AI Technologies for Information Systems and Management Science. View
Conference Proceedings
- Prema S, Harshith N, Kousar H, Malini K, Meenatchi S, Kumar M. 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA). Automatic Mail Reception System for Patients to Identify Health Conditions View
- Liu K, Chiang C, Wang H, Tseng Y. 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). Temporal Phenotype Matrix Engineering for Electronic Health Records – Enhancing Coronary Artery Disease Prediction View
- Lin Y, Chen J, Ding Z, Chen L, Li L, Zhu Z, Wang Z, Li J. 2024 International Conference on Advanced Robotics and Mechatronics (ICARM). Collaborative Segmentation Model for Colonoscopy Ulcers based on Fuzzy Labeling* View
- A B, S B. 2025 3rd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT). Automated Detection and Classification of Pulmonary Lung Diseases Using Falcon Optimized BiLSTM Approach View
- Mehta V, M V, Kodipalli A, Martis R, Devamane S, A U. 2025 International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI). Predicting Lung Cancer with Artificial Neural Network: Analyzing Performance and Feature Importance View
- AbdElminaam D, Omran Z, Abdeltawab T, Khalil A, Mohamed Y, Sobhy A. 2025 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC). Harnessing Artificial Intelligence for Healthcare: Comparative Evaluation of Multiple Machine Learning Models for Robust and Accurate Lung Cancer Prediction View
