Natural Language Processing
View E-collection for ‘Natural Language Processing’![Deep Learning Transformer Models for Building a Comprehensive and Real-time Trauma Observatory: Development and Validation Study Deep Learning Transformer Models for Building a Comprehensive and Real-time Trauma Observatory: Development and Validation Study](https://asset.jmir.pub/assets/6b2ef6b1a43fae7bdeda890ba3b03362.png 480w,https://asset.jmir.pub/assets/6b2ef6b1a43fae7bdeda890ba3b03362.png 960w,https://asset.jmir.pub/assets/6b2ef6b1a43fae7bdeda890ba3b03362.png 1920w,https://asset.jmir.pub/assets/6b2ef6b1a43fae7bdeda890ba3b03362.png 2500w)
Gabrielle Chenais, Cédric Gil-Jardiné, Hélène Touchais, Marta Avalos Fernandez, Benjamin Contrand, Eric Tellier, Xavier Combes, Loick Bourdois, Philippe Revel, Emmanuel Lagarde
JMIR AI 2023 (Jan 12); 2:e40843Download Citation: END BibTex RIS
![Developing an Inpatient Electronic Medical Record Phenotype for Hospital-Acquired Pressure Injuries: Case Study Using Natural Language Processing Models Developing an Inpatient Electronic Medical Record Phenotype for Hospital-Acquired Pressure Injuries: Case Study Using Natural Language Processing Models](https://asset.jmir.pub/assets/9521b3bfd41f82fc88567f5bd1e543de.png 480w,https://asset.jmir.pub/assets/9521b3bfd41f82fc88567f5bd1e543de.png 960w,https://asset.jmir.pub/assets/9521b3bfd41f82fc88567f5bd1e543de.png 1920w,https://asset.jmir.pub/assets/9521b3bfd41f82fc88567f5bd1e543de.png 2500w)
Elvira Nurmambetova, Jie Pan, Zilong Zhang, Guosong Wu, Seungwon Lee, Danielle A Southern, Elliot A Martin, Chester Ho, Yuan Xu, Cathy A Eastwood
JMIR AI 2023 (Mar 08); 2:e41264Download Citation: END BibTex RIS
![Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks: Algorithm Development and Validation Study Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks: Algorithm Development and Validation Study](https://asset.jmir.pub/assets/dec007cb2e05a281aa6e10722ce31366.png 480w,https://asset.jmir.pub/assets/dec007cb2e05a281aa6e10722ce31366.png 960w,https://asset.jmir.pub/assets/dec007cb2e05a281aa6e10722ce31366.png 1920w,https://asset.jmir.pub/assets/dec007cb2e05a281aa6e10722ce31366.png 2500w)
David Oniani, Premkumar Chandrasekar, Sonish Sivarajkumar, Yanshan Wang
JMIR AI 2023 (May 04); 2:e44293Download Citation: END BibTex RIS
Viewpoints and Perspectives
View E-collection for ‘Viewpoints and Perspectives’![Artificial Intelligence Algorithms in Health Care: Is the Current Food and Drug Administration Regulation Sufficient? Artificial Intelligence Algorithms in Health Care: Is the Current Food and Drug Administration Regulation Sufficient?](https://asset.jmir.pub/assets/df4b5e21e9e0a802c3eec949fac2464e.png 480w,https://asset.jmir.pub/assets/df4b5e21e9e0a802c3eec949fac2464e.png 960w,https://asset.jmir.pub/assets/df4b5e21e9e0a802c3eec949fac2464e.png 1920w,https://asset.jmir.pub/assets/df4b5e21e9e0a802c3eec949fac2464e.png 2500w)
Meghavi Mashar, Shreya Chawla, Fangyue Chen, Baker Lubwama, Kyle Patel, Mihir A Kelshiker, Patrik Bachtiger, Nicholas S Peters
JMIR AI 2023 (Jan 16); 2:e42940Download Citation: END BibTex RIS
Clinical Information and Decision Making
View E-collection for ‘Clinical Information and Decision Making’![Predicting Treatment Interruption Among People Living With HIV in Nigeria: Machine Learning Approach Predicting Treatment Interruption Among People Living With HIV in Nigeria: Machine Learning Approach](https://asset.jmir.pub/assets/d453b2724e2033ca8708d417e33ebbcf.png 480w,https://asset.jmir.pub/assets/d453b2724e2033ca8708d417e33ebbcf.png 960w,https://asset.jmir.pub/assets/d453b2724e2033ca8708d417e33ebbcf.png 1920w,https://asset.jmir.pub/assets/d453b2724e2033ca8708d417e33ebbcf.png 2500w)
Predicting Treatment Interruption Among People Living With HIV in Nigeria: Machine Learning Approach
Matthew-David Ogbechie, Christa Fischer Walker, Mu-Tien Lee, Amina Abba Gana, Abimbola Oduola, Augustine Idemudia, Matthew Edor, Emily Lark Harris, Jessica Stephens, Xiaoming Gao, Pai-Lien Chen, Navindra Etwaroo Persaud
JMIR AI 2023 (May 12); 2:e44432Download Citation: END BibTex RIS
![Machine Learning–Based Time in Patterns for Blood Glucose Fluctuation Pattern Recognition in Type 1 Diabetes Management: Development and Validation Study Machine Learning–Based Time in Patterns for Blood Glucose Fluctuation Pattern Recognition in Type 1 Diabetes Management: Development and Validation Study](https://asset.jmir.pub/assets/6fe50cb31dfac74467faf35db8414bd7.png 480w,https://asset.jmir.pub/assets/6fe50cb31dfac74467faf35db8414bd7.png 960w,https://asset.jmir.pub/assets/6fe50cb31dfac74467faf35db8414bd7.png 1920w,https://asset.jmir.pub/assets/6fe50cb31dfac74467faf35db8414bd7.png 2500w)
Nicholas Berin Chan, Weizi Li, Theingi Aung, Eghosa Bazuaye, Rosa M Montero
JMIR AI 2023 (May 26); 2:e45450Download Citation: END BibTex RIS
![An Assessment of How Clinicians and Staff Members Use a Diabetes Artificial Intelligence Prediction Tool: Mixed Methods Study An Assessment of How Clinicians and Staff Members Use a Diabetes Artificial Intelligence Prediction Tool: Mixed Methods Study](https://asset.jmir.pub/assets/47c278af8c95b3e552cab16695c80dff.png 480w,https://asset.jmir.pub/assets/47c278af8c95b3e552cab16695c80dff.png 960w,https://asset.jmir.pub/assets/47c278af8c95b3e552cab16695c80dff.png 1920w,https://asset.jmir.pub/assets/47c278af8c95b3e552cab16695c80dff.png 2500w)
Winston R Liaw, Yessenia Ramos Silva, Erica G Soltero, Alex Krist, Angela L Stotts
JMIR AI 2023 (May 29); 2:e45032Download Citation: END BibTex RIS
Reviews in AI
View E-collection for ‘Reviews in AI’![Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review](https://asset.jmir.pub/assets/d1eb5ee3e7af834a0dfa772b2cd2b211.png 480w,https://asset.jmir.pub/assets/d1eb5ee3e7af834a0dfa772b2cd2b211.png 960w,https://asset.jmir.pub/assets/d1eb5ee3e7af834a0dfa772b2cd2b211.png 1920w,https://asset.jmir.pub/assets/d1eb5ee3e7af834a0dfa772b2cd2b211.png 2500w)
Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review
Carl Thomas Berdahl, Lawrence Baker, Sean Mann, Osonde Osoba, Federico Girosi
JMIR AI 2023 (Feb 07); 2:e42936Download Citation: END BibTex RIS
![Forecasting Artificial Intelligence Trends in Health Care: Systematic International Patent Analysis Forecasting Artificial Intelligence Trends in Health Care: Systematic International Patent Analysis](https://asset.jmir.pub/assets/f2e4525f01f4d6f2cdb13f74cc4ca5d1.png 480w,https://asset.jmir.pub/assets/f2e4525f01f4d6f2cdb13f74cc4ca5d1.png 960w,https://asset.jmir.pub/assets/f2e4525f01f4d6f2cdb13f74cc4ca5d1.png 1920w,https://asset.jmir.pub/assets/f2e4525f01f4d6f2cdb13f74cc4ca5d1.png 2500w)
Forecasting Artificial Intelligence Trends in Health Care: Systematic International Patent Analysis
Stan Benjamens, Pranavsingh Dhunnoo, Márton Görög, Bertalan Mesko
JMIR AI 2023 (May 26); 2:e47283Download Citation: END BibTex RIS
Machine Learning
View E-collection for ‘Machine Learning’![Predicting Patient Mortality for Earlier Palliative Care Identification in Medicare Advantage Plans: Features of a Machine Learning Model Predicting Patient Mortality for Earlier Palliative Care Identification in Medicare Advantage Plans: Features of a Machine Learning Model](https://asset.jmir.pub/assets/8b692c820ac31bb6e413682bdf235d0e.png 480w,https://asset.jmir.pub/assets/8b692c820ac31bb6e413682bdf235d0e.png 960w,https://asset.jmir.pub/assets/8b692c820ac31bb6e413682bdf235d0e.png 1920w,https://asset.jmir.pub/assets/8b692c820ac31bb6e413682bdf235d0e.png 2500w)
Anne Bowers, Chelsea Drake, Alexi E Makarkin, Robert Monzyk, Biswajit Maity, Andrew Telle
JMIR AI 2023 (Feb 20); 2:e42253Download Citation: END BibTex RIS
![Deep Learning to Detect Pancreatic Cystic Lesions on Abdominal Computed Tomography Scans: Development and Validation Study Deep Learning to Detect Pancreatic Cystic Lesions on Abdominal Computed Tomography Scans: Development and Validation Study](https://asset.jmir.pub/assets/889f92897bea3b0ef721b3fea6e918ab.png 480w,https://asset.jmir.pub/assets/889f92897bea3b0ef721b3fea6e918ab.png 960w,https://asset.jmir.pub/assets/889f92897bea3b0ef721b3fea6e918ab.png 1920w,https://asset.jmir.pub/assets/889f92897bea3b0ef721b3fea6e918ab.png 2500w)
Maria Montserrat Duh, Neus Torra-Ferrer, Meritxell Riera-Marín, Dídac Cumelles, Júlia Rodríguez-Comas, Javier García López, Mª Teresa Fernández Planas
JMIR AI 2023 (Mar 17); 2:e40702Download Citation: END BibTex RIS
![Prediction of Chronic Stress and Protective Factors in Adults: Development of an Interpretable Prediction Model Based on XGBoost and SHAP Using National Cross-sectional DEGS1 Data Prediction of Chronic Stress and Protective Factors in Adults: Development of an Interpretable Prediction Model Based on XGBoost and SHAP Using National Cross-sectional DEGS1 Data](https://asset.jmir.pub/assets/16b1cecb7447b9f6733704e7c73fecf9.png 480w,https://asset.jmir.pub/assets/16b1cecb7447b9f6733704e7c73fecf9.png 960w,https://asset.jmir.pub/assets/16b1cecb7447b9f6733704e7c73fecf9.png 1920w,https://asset.jmir.pub/assets/16b1cecb7447b9f6733704e7c73fecf9.png 2500w)
Arezoo Bozorgmehr, Birgitta Weltermann
JMIR AI 2023 (May 16); 2:e41868Download Citation: END BibTex RIS
Theoretical Innovations in AI
View E-collection for ‘Theoretical Innovations in AI’![Application of Artificial Intelligence to the Monitoring of Medication Adherence for Tuberculosis Treatment in Africa: Algorithm Development and Validation Application of Artificial Intelligence to the Monitoring of Medication Adherence for Tuberculosis Treatment in Africa: Algorithm Development and Validation](https://asset.jmir.pub/assets/4aba35426456d1c7041b94e549249140.png 480w,https://asset.jmir.pub/assets/4aba35426456d1c7041b94e549249140.png 960w,https://asset.jmir.pub/assets/4aba35426456d1c7041b94e549249140.png 1920w,https://asset.jmir.pub/assets/4aba35426456d1c7041b94e549249140.png 2500w)
Juliet Nabbuye Sekandi, Weili Shi, Ronghang Zhu, Patrick Kaggwa, Ernest Mwebaze, Sheng Li
JMIR AI 2023 (Feb 23); 2:e40167Download Citation: END BibTex RIS
Artificial Intelligence
View E-collection for ‘Artificial Intelligence’![Preparing for an Artificial Intelligence–Enabled Future: Patient Perspectives on Engagement and Health Care Professional Training for Adopting Artificial Intelligence Technologies in Health Care Settings Preparing for an Artificial Intelligence–Enabled Future: Patient Perspectives on Engagement and Health Care Professional Training for Adopting Artificial Intelligence Technologies in Health Care Settings](https://asset.jmir.pub/assets/c59aca42983c3bfdd5d717299e8a47ee.png 480w,https://asset.jmir.pub/assets/c59aca42983c3bfdd5d717299e8a47ee.png 960w,https://asset.jmir.pub/assets/c59aca42983c3bfdd5d717299e8a47ee.png 1920w,https://asset.jmir.pub/assets/c59aca42983c3bfdd5d717299e8a47ee.png 2500w)
Tharshini Jeyakumar, Sarah Younus, Melody Zhang, Megan Clare, Rebecca Charow, Inaara Karsan, Azra Dhalla, Dalia Al-Mouaswas, Jillian Scandiffio, Justin Aling, Mohammad Salhia, Nadim Lalani, Scott Overholt, David Wiljer
JMIR AI 2023 (Mar 02); 2:e40973Download Citation: END BibTex RIS
![Enabling Early Health Care Intervention by Detecting Depression in Users of Web-Based Forums using Language Models: Longitudinal Analysis and Evaluation Enabling Early Health Care Intervention by Detecting Depression in Users of Web-Based Forums using Language Models: Longitudinal Analysis and Evaluation](https://asset.jmir.pub/assets/aae529c7d128186cd418c360b384520d.png 480w,https://asset.jmir.pub/assets/aae529c7d128186cd418c360b384520d.png 960w,https://asset.jmir.pub/assets/aae529c7d128186cd418c360b384520d.png 1920w,https://asset.jmir.pub/assets/aae529c7d128186cd418c360b384520d.png 2500w)
David Owen, Dimosthenis Antypas, Athanasios Hassoulas, Antonio F Pardiñas, Luis Espinosa-Anke, Jose Camacho Collados
JMIR AI 2023 (Mar 24); 2:e41205Download Citation: END BibTex RIS
![A Scalable Radiomics- and Natural Language Processing–Based Machine Learning Pipeline to Distinguish Between Painful and Painless Thoracic Spinal Bone Metastases: Retrospective Algorithm Development and Validation Study A Scalable Radiomics- and Natural Language Processing–Based Machine Learning Pipeline to Distinguish Between Painful and Painless Thoracic Spinal Bone Metastases: Retrospective Algorithm Development and Validation Study](https://asset.jmir.pub/assets/f702bc12e04390b4b4bed319f283dbd4.png 480w,https://asset.jmir.pub/assets/f702bc12e04390b4b4bed319f283dbd4.png 960w,https://asset.jmir.pub/assets/f702bc12e04390b4b4bed319f283dbd4.png 1920w,https://asset.jmir.pub/assets/f702bc12e04390b4b4bed319f283dbd4.png 2500w)
Hossein Naseri, Sonia Skamene, Marwan Tolba, Mame Daro Faye, Paul Ramia, Julia Khriguian, Marc David, John Kildea
JMIR AI 2023 (May 22); 2:e44779Download Citation: END BibTex RIS
![Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning–Based Natural Language Processing Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning–Based Natural Language Processing](https://asset.jmir.pub/assets/f5e11c51c73a108c0c1c0f9fc0a59c89.png 480w,https://asset.jmir.pub/assets/f5e11c51c73a108c0c1c0f9fc0a59c89.png 960w,https://asset.jmir.pub/assets/f5e11c51c73a108c0c1c0f9fc0a59c89.png 1920w,https://asset.jmir.pub/assets/f5e11c51c73a108c0c1c0f9fc0a59c89.png 2500w)
Kyeryoung Lee, Zongzhi Liu, Urmila Chandran, Iftekhar Kalsekar, Balaji Laxmanan, Mitchell K Higashi, Tomi Jun, Meng Ma, Minghao Li, Yun Mai, Christopher Gilman, Tongyu Wang, Lei Ai, Parag Aggarwal, Qi Pan, William Oh, Gustavo Stolovitzky, Eric Schadt, Xiaoyan Wang
JMIR AI 2023 (Jun 01); 2:e44537Download Citation: END BibTex RIS
Editorial
View E-collection for ‘Editorial’![Reporting and Methodological Observations on Prognostic and Diagnostic Machine Learning Studies Reporting and Methodological Observations on Prognostic and Diagnostic Machine Learning Studies](https://asset.jmir.pub/assets/7f0048de83c50b9ea3b7831b4857bbf6.png 480w,https://asset.jmir.pub/assets/7f0048de83c50b9ea3b7831b4857bbf6.png 960w,https://asset.jmir.pub/assets/7f0048de83c50b9ea3b7831b4857bbf6.png 1920w,https://asset.jmir.pub/assets/7f0048de83c50b9ea3b7831b4857bbf6.png 2500w)
Reporting and Methodological Observations on Prognostic and Diagnostic Machine Learning Studies
Khaled El Emam, William Klement, Bradley Malin
JMIR AI 2023 (Apr 28); 2:e47995Download Citation: END BibTex RIS