Foundations of AI

Articles published in 2023 in this theme: 22 (scroll down to load remaining articles)

2023

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Real-Time Classification of Causes of Death Using AI: Sensitivity Analysis

Patrícia Pita Ferreira, Diogo Godinho Simões, Constança Pinto de Carvalho, Francisco Duarte, Eugénia Fernandes, Pedro Casaca Carvalho, José Francisco Loff, Ana Paula Soares, Maria João Albuquerque, Pedro Pinto-Leite, André Peralta-Santos

JMIR AI 2023 (Nov 22); 2:e40965

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Machine Learning Models Versus the National Early Warning Score System for Predicting Deterioration: Retrospective Cohort Study in the United Arab Emirates

Hazem Lashen, Terrence Lee St John, Y Zaki Almallah, Madhu Sasidhar, Farah E Shamout

JMIR AI 2023 (Nov 06); 2:e45257

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Assessing Elevated Blood Glucose Levels Through Blood Glucose Evaluation and Monitoring Using Machine Learning and Wearable Photoplethysmography Sensors: Algorithm Development and Validation

Bohan Shi, Satvinder Singh Dhaliwal, Marcus Soo, Cheri Chan, Jocelin Wong, Natalie W C Lam, Entong Zhou, Vivien Paitimusa, Kum Yin Loke, Joel Chin, Mei Tuan Chua, Kathy Chiew Suan Liaw, Amos W H Lim, Fadil Fatin Insyirah, Shih-Cheng Yen, Arthur Tay, Seng Bin Ang

JMIR AI 2023 (Oct 27); 2:e48340

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Identifying the Question Similarity of Regulatory Documents in the Pharmaceutical Industry by Using the Recognizing Question Entailment System: Evaluation Study

Nidhi Saraswat, Chuqin Li, Min Jiang

JMIR AI 2023 (Sep 26); 2:e43483

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Machine Learning for the Prediction of Procedural Case Durations Developed Using a Large Multicenter Database: Algorithm Development and Validation Study

Samir Kendale, Andrew Bishara, Michael Burns, Stuart Solomon, Matthew Corriere, Michael Mathis

JMIR AI 2023 (Sep 08); 2:e44909

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Self-Supervised Electroencephalogram Representation Learning for Automatic Sleep Staging: Model Development and Evaluation Study

Chaoqi Yang, Cao Xiao, M Brandon Westover, Jimeng Sun

JMIR AI 2023 (Jul 26); 2:e46769

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Artificial Intelligence–Enabled Software Prototype to Inform Opioid Pharmacovigilance From Electronic Health Records: Development and Usability Study

Alfred Sorbello, Syed Arefinul Haque, Rashedul Hasan, Richard Jermyn, Ahmad Hussein, Alex Vega, Krzysztof Zembrzuski, Anna Ripple, Mitra Ahadpour

JMIR AI 2023 (Jul 18); 2:e45000

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Extractive Clinical Question-Answering With Multianswer and Multifocus Questions: Data Set Development and Evaluation Study

Sungrim Moon, Huan He, Heling Jia, Hongfang Liu, Jungwei Wilfred Fan

JMIR AI 2023 (Jun 20); 2:e41818

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Automated Identification of Aspirin-Exacerbated Respiratory Disease Using Natural Language Processing and Machine Learning: Algorithm Development and Evaluation Study

Thanai Pongdee, Nicholas B Larson, Rohit Divekar, Suzette J Bielinski, Hongfang Liu, Sungrim Moon

JMIR AI 2023 (Jun 12); 2:e44191

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A Trainable Open-Source Machine Learning Accelerometer Activity Recognition Toolbox: Deep Learning Approach

Fluri Wieland, Claudio Nigg

JMIR AI 2023 (Jun 08); 2:e42337

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Extraction of Radiological Characteristics From Free-Text Imaging Reports Using Natural Language Processing Among Patients With Ischemic and Hemorrhagic Stroke: Algorithm Development and Validation

Enshuo Hsu, Abdulaziz T Bako, Thomas Potter, Alan P Pan, Gavin W Britz, Jonika Tannous, Farhaan S Vahidy

JMIR AI 2023 (Jun 06); 2:e42884

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Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning–Based Natural Language Processing

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:e44537

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Machine Learning–Based Time in Patterns for Blood Glucose Fluctuation Pattern Recognition in Type 1 Diabetes Management: Development and Validation Study

Nicholas Berin Chan, Weizi Li, Theingi Aung, Eghosa Bazuaye, Rosa M Montero

JMIR AI 2023 (May 26); 2:e45450

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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

Hossein Naseri, Sonia Skamene, Marwan Tolba, Mame Daro Faye, Paul Ramia, Julia Khriguian, Marc David, John Kildea

JMIR AI 2023 (May 22); 2:e44779

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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

Arezoo Bozorgmehr, Birgitta Weltermann

JMIR AI 2023 (May 16); 2:e41868

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Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks: Algorithm Development and Validation Study

David Oniani, Premkumar Chandrasekar, Sonish Sivarajkumar, Yanshan Wang

JMIR AI 2023 (May 04); 2:e44293

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Patient Embeddings From Diagnosis Codes for Health Care Prediction Tasks: Pat2Vec Machine Learning Framework

Edgar Steiger, Lars Eric Kroll

JMIR AI 2023 (Apr 21); 2:e40755

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Deep Learning to Detect Pancreatic Cystic Lesions on Abdominal Computed Tomography Scans: Development and Validation Study

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:e40702

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Developing an Inpatient Electronic Medical Record Phenotype for Hospital-Acquired Pressure Injuries: Case Study Using Natural Language Processing Models

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:e41264

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Application of Artificial Intelligence to the Monitoring of Medication Adherence for Tuberculosis Treatment in Africa: Algorithm Development and Validation

Juliet Nabbuye Sekandi, Weili Shi, Ronghang Zhu, Patrick Kaggwa, Ernest Mwebaze, Sheng Li

JMIR AI 2023 (Feb 23); 2:e40167

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