Foundations of AI

Articles published in 2025 in this theme: 12 (scroll down to load remaining articles)

2025

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Authors’ Reply: Predicting the Emergency Department Patient Journey Using a Machine Learning Approach

Dhavalkumar Patel, Eyal Klang, Prem Timsina

JMIR AI 2025 (Dec 19); 4:e73342

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Predicting the Emergency Department Patient Journey Using a Machine Learning Approach

Joshua George Kovoor, Gavin John Carmichael, Brandon Stretton, Aashray K Gupta, Oliver S Kleinig, Mana Ittimani, Jack Fabian, Sheryn Tan, Jeng Swen Ng, Shrirajh Sateakeerthy, Andrew Booth, Alexander Beath, John Kefalianos, Mathew Ollapallil Jacob, Sadeya Ahmed, WengOnn Chan, Pramesh Kovoor, Samuel Gluck, Toby Gilbert, James Malycha, Benjamin A Reddi, Robert T Padbury, Markus I Trochsler, Guy J Maddern, Derek P Chew, Andrew C Zannettino, Danny Liew, John F Beltrame, Patrick G O’Callaghan, Cynthia Papendick, Stephen Bacchi

JMIR AI 2025 (Dec 19); 4:e67321

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Leveraging Smart Bed Technology to Detect COVID-19 Symptoms: Case Study

Gary Garcia-Molina, Dmytro Guzenko, Susan DeFranco, Mark Aloia, Rajasi Mills, Faisal Mushtaq, Virend K Somers

JMIR AI 2025 (Sep 17); 4:e64018

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Predicting Episodes of Hypovigilance in Intensive Care Units Using Routine Physiological Parameters and Artificial Intelligence: Derivation Study

Raphaëlle Giguère, Victor Niaussat, Monia Noël-Hunter, William Witteman, Tanya S Paul, Alexandre Marois, Philippe Després, Simon Duchesne, Patrick M Archambault

JMIR AI 2025 (Aug 27); 4:e60885

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AI-Supported Shared Decision-Making (AI-SDM): Conceptual Framework

Mohammed As'ad, Nawarh Faran, Hala Joharji

JMIR AI 2025 (Aug 07); 4:e75866

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Digital Phenotyping for Detecting Depression Severity in a Large Payor-Provider System: Retrospective Study of Speech and Language Model Performance

Bradley Karlin, Doug Henry, Ryan Anderson, Salvatore Cieri, Michael Aratow, Elizabeth Shriberg, Michelle Hoy

JMIR AI 2025 (Jun 19); 4:e69149

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Identifying Asthma-Related Symptoms From Electronic Health Records Using a Hybrid Natural Language Processing Approach Within a Large Integrated Health Care System: Retrospective Study

Fagen Xie, Robert S Zeiger, Mary Marycania Saparudin, Sahar Al-Salman, Eric Puttock, William Crawford, Michael Schatz, Stanley Xu, William M Vollmer, Wansu Chen

JMIR AI 2025 (May 02); 4:e69132

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Limitations of Binary Classification for Long-Horizon Diagnosis Prediction and Advantages of a Discrete-Time Time-to-Event Approach: Empirical Analysis

De Rong Loh, Elliot D Hill, Nan Liu, Geraldine Dawson, Matthew M Engelhard

JMIR AI 2025 (Mar 27); 4:e62985

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Estimation of Static Lung Volumes and Capacities From Spirometry Using Machine Learning: Algorithm Development and Validation

Scott A Helgeson, Zachary S Quicksall, Patrick W Johnson, Kaiser G Lim, Rickey E Carter, Augustine S Lee

JMIR AI 2025 (Mar 24); 4:e65456

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Using AI to Translate and Simplify Spanish Orthopedic Medical Text: Instrument Validation Study

Saman Andalib, Aidin Spina, Bryce Picton, Sean S Solomon, John A Scolaro, Ariana M Nelson

JMIR AI 2025 (Mar 21); 4:e70222

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Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning–Based Audio Enhancement: Algorithm Development and Validation

Jing-Tong Tzeng, Jeng-Lin Li, Huan-Yu Chen, Chun-Hsiang Huang, Chi-Hsin Chen, Cheng-Yi Fan, Edward Pei-Chuan Huang, Chi-Chun Lee

JMIR AI 2025 (Mar 13); 4:e67239

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Deep Learning Models to Predict Diagnostic and Billing Codes Following Visits to a Family Medicine Practice: Development and Validation Study

Akshay Rajaram, Michael Judd, David Barber

JMIR AI 2025 (Mar 07); 4:e64279

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