A Path for Translation of Machine Learning Products into Healthcare Delivery

Cited by (172)

Items 101–172 of 172

1. Current and Future Research Directions
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2. Building an AI-Driven Symptom Checker Using Python Django for Enhanced Telemedicine Services
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3. Artificial Intelligence in Medical Science: The New Age of Healthcare
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4. Integrated Framework for Equitable Healthcare AI: Bias Mitigation, Community Participation, and Regulatory Governance
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5. Machine Learning for Precision Medicine: Optimizing Treatment Selection and Reducing Diagnostic Errors
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6. Challenges of AI in Healthcare Projects
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7. AI-Driven Triage Systems in Emergency Healthcare
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8. Emerging Applications of Artificial Intelligence in Pediatric Care
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9. Navigating AI and machine learning in cancer research: an end-to-end translational framework
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10. Artificial intelligence in maternal and child health: Current applications, translational gaps, and future research priorities
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11. Large language models in healthcare: applications, evaluation frameworks, and governance pathways — a scoping review and multidimensional framework
    João C. Ferreira, Isabel Rosa · 2026 · Frontiers in Digital Health
12. Main requirements of end-to-end deep learning models for biomedical time series classification in healthcare environments
    Ángel Serrano Alarcón, Natividad Martínez Madrid, Ralf Seepold, Juan Antonio Ortega Ramirez · 2022 · Procedia Computer Science
13. Attitudes Toward the Adoption of two AI-Enabled Mental Health Tools Among Prospective Psychotherapists: A Cross-Sectional Study
    Anne‐Kathrin Kleine, Eesha Kokje, Susanne Gaube, Eva Lermer · 2023
14. Regulação da inteligência artificial na saúde
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15. Catching-up on Research Related to AI-based Tools Implementation in Clinical Settings : Viewpoint (Preprint)
    Placide Poba‐Nzaou, Naoto Kume, Shinji Kobayashi, Malatsi Galani · 2021
16. Prediction of Preeclampsia in Pregnant Women Using Machine Learning Paradigm
    K. Renuka Devi · 2023 · Advances in computational intelligence and robotics book series
17. Implementing Generative AI in U.S. Hospital Systems
    Ben Armstrong, Katherine C. Kellogg, Retsef Levi, Julie Shah, Batia Mishan Wiesenfeld · 2024
18. Transforming Healthcare through Machine Learning: A Revolution in Patient Care
    Divya Gupta, Jaspreet Kaur, Simarjeet Kaur · 2023 · International Conference on Information Management & Machine Intelligence (ICIMMI)
19. Track-and-Trigger System: Identifying and Predicting Patient Deterioration through Scores and Algorithms
    Oliver Redfern, James Malycha, Peter Watkinson · 2024 · Springer eBooks
20. Digitalization practices, data analytics, and artificial intelligence among public hospitals: Basis for smarter hospital management system framework
    Fang Li · 2025 · International Journal of Research Studies in Management
21. Expected length of stay in residential aged care facilities in Australia: Assessing the impact of dementia using machine learning
    Alexander Fracalossi, Jinhui Zhang, Evelyn Lee, Yanlin Shi · 2025 · PLoS ONE
22. Exploring the Collaboration Challenges Faced by AI Researchers and Health Experts for Developing Computational Techniques for Healthcare Systems
    Elahe Bashiri · 2025
23. Book review
    Fransiskus Serfian Jogo · 2025 · Artificial Intelligence in Medicine
24. AI in Industry 5.0: Revolutionizing Business and Technology
    SATHYADEVI R, Mr. RAMESH M, Princy Metilda, Dr. JISSY C · 2025 · Royal Book Publishing
25. REVOLUTIONIZING HEALTHCARE: THE ROLE AND IMPACT OF ARTIFICIAL INTELLIGENCE IN MODERN MEDICAL SYSTEMS
    Ms. Varsha C · 2025 · Royal Book Publishing
26. Early diagnosis for the bacterial infections for the patients under the medical intervention of Automated Peritoneal Dialysis using machine learning techniques
    A. Swathi, Golda Dilip, Atluri Vani Vathsala · 2025 · Multidisciplinary Reviews
27. Explainability of Language Models (XAI and LLM)
    Antonio Di Cecco, Leonida Gianfagna · 2025 · Springer eBooks
28. Opening the ‘black box’ of the silent phase evaluation for artificial intelligence: a scoping review and critical analysis
    Lana Tikhomirov, Carolyn Semmler, Noah T Prizant, Srijan Bhasin, Georgia Kenyon, Anton H. van der Vegt, Lauren Erdman, Lyle John Palmer, Abdullahi Mohamud, Judy Wawira Gichoya et al. · 2025
29. A Step Toward a Global Consensus on Gastric Cancer Resectability Integrating Artificial Intelligence-Based Consensus Modelling
    Katarzyna Gęca, Franco Roviello, Magdalena Skórzewska, Radosław Mlak, Wojciech Piotr Polkowski, ICRGC Collaborators · 2025 · Cancers
30. Data to Dose: Efficient Synthetic Data Generation with Expert Guidance for Personalized Dosing
    H. Satyam Verma, Holly Wiberg, Woody Zhu, SRIDHAR R. TAYUR · 2025 · SSRN Electronic Journal
31. Beyond Correlation: Quantum-Causal AI for Medical Diagnosis (Preprint)
    Parthasarathy Parthasarathy Sundararajan, S.S.Subashka Ramesh Ramesh, R. Asha, Kavitha G · 2025
32. Segmentazione automatica dell’immagine ecografica del nodulo tiroideo: il ruolo dell’intelligenza artificiale
    Manuela Macera, Giorgio Grani, Alessio Fagioli, Cosimo Durante · 2025 · L Endocrinologo
33. A new approach for healthcare management system:prediction of liver disease using various classification algorithms of machine learning and ensemble techniques
    Pawan Kumar, Updesh Kumar Jaiswal, Deepika Yadav, Shailendra Pratap Singh, Ajay Kumar · 2025 · Elsevier eBooks
34. Author Response: From Narrative to Navigation: A Translational Roadmap for AI-enabled Early Sepsis Prediction—Comment on Shanmugam et al.
    Hemalatha Shanmugam, Lavanya Airen, Saumya Rawat · 2025 · Indian Journal of Critical Care Medicine
35. Balancing Value and Risk: Clinicians’ Perceptions and Adoption of AI-Enabled Clinical Decision Support Systems (Preprint)
    Simona Curiello, Adriane P. Chapman, Jeremy C Wyatt · 2026 · Journal of Medical Internet Research
36. When Silence Signals Safety: Governance and Responsibility in AI-Enabled Prescription Verification
    Esteban Zavaleta‐Monestel, Jeaustin Mora-Jiménez, Sebastián Arguedas‐Chacón · 2026 · Cureus
37. Participatory Digital Twins for Chronic Care: From Predictive Models to Shared Sensemaking (Preprint)
    Qingrui Li, Bo Xie, Eric L. Johnson, Juan Li · 2026
38. Surgeons’ Perceptions of Machine-learning‑based Prognostic Tools for Spine Surgery: A Qualitative Study (Preprint)
    Zheng An Toh, Per Koren Solvang, Hwee Weng Dennis Hey, Wei How Darryl Ang, Yan Pang, Kanokwan Hounsri, Tore Kristian Solberg, Bjørnar Berg, Margreth Grotle, Minna Annika Pikkarainen et al. · 2026 · Journal of Medical Internet Research
39. Three Ambient Listening Systems in Simulated Dutch-Language Multispeaker and Multidialect Clinical Encounters: Comparative Study
    Anne H. Hoekman, Tarannom Mehri, Job Nicolaas Doornberg, Mirjam Plantinga, Tom P. van der Laan, Charlotte MHHT Bootsma-Robroeks, Rosanne C. Schoonbeek · 2026 · JMIR Medical Informatics
40. Artificial Intelligence in Obstetrics and Gynecology Nursing: Clinical, Educational, and Ethical Perspectives
    Kuppusamy Sivasankari, Santhoskumari Mohan · 2026 · Cureus
41. Bibliometric analysis of artificial intelligence application in bioinformatics
    Andrea Stevens Karnyoto, Fitya Syarifa Mozar, Najia Al Umri, Bayou Tilahun Assaye, Muluken Belachew Mengistie, Bens Pardamean · 2026 · Discover Artificial Intelligence
42. From Data-Driven Nomograms to Knowledge-Driven Clinical AI: Comparative Validation of Bayesian and LLM-Based Models in Preoperative Risk Prediction (Preprint)
    Olivier Cussenot, Josephine Renand, Deborah Bret, T. Furet, Agata Sujela, Shahrokh Sharia1, Géraldine Cancel‐Tassin, Georges Fournier, Antoine Valéri · 2026
43. Role of Artificial Intelligence in Modern Orthodontics: From Diagnosis to Treatment Planning, a Narrative Review
    Krishi Vinod Jariwala, Ajay Kantilal Kubavat, Khyati Viralkumar Patel, Khushbu V Rathod, Vaibhavi R Bhimda · 2026
44. Enhancing Emergency Care Through Machine Learning-Based Admission Prioritization
    C. V. Lakshmi Narayana, Revathy.K, KARTHIK. D, Usha Sree.P, Sunil.M, Manoj Kumar.S · 2026 · IEEE International Conference on Emerging Computing and Intelligent Technologies (ICoECIT)
45. Interpretable machine learning for dynamic risk prediction of hemodynamic deterioration in acute myocardial infarction with cardiogenic shock: development, external validation, and clinical decision support deployment using the MIMIC-IV and eICU-CRD databases (Preprint)
    Shun Yang, Wei Ma, Jiabin Xu, Dongdong Yu, Haibo Chen · 2026
46. Azure-Based Healthcare Risk Analytics with Machine Learning and Power BI
    N. Saikiran, Govindu Dharani, S Akash Naik, Patan Anwar Ali Khan, Shaik Dadapeer, G. Ravikumar · 2026 · International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA)
47. Participatory Digital Twins for Chronic Care: From Predictive Models to Shared Sensemaking
    Qingrui Li, Bo Xie, Eric L. Johnson, Juan Li · 2026 · Journal of Participatory Medicine
48. Artificial Intelligence for Neonatal Sepsis Prediction: A Review of Advances, Clinical Integration, and Future Prospects
    Onyinyechukwu Joyce Ndubuisi, Chimaoge H. Igboanude, Oranu G ibekie, Winifred Oniah, Gandu T.Y. Purity, John Nnamani, Oiku M Omofuma, Ubochioma D Chimdike, Nwachi Divine, Izuchukwu Jonathan Obidiegwu et al. · 2026 · Cureus
49. From Realism to Relevance: Rethinking Simulator Fidelity in the Era of Generative AI
    Jordan Richard Schoenherr · 2026 · IEEE Transactions on Technology and Society
50. Beyond auto-segmentation: the case for planning and dosimetry AI in head and neck radiation oncology
    Abdulla Elkhadrawy, Sean J Choi, Edward Christopher Dee, Milit S Patel, Yingzhi Wu, Nadeem Riaz, Harini Veeraraghavan, Donghoon Lee, Sharif Elguindi, Nancy Y Lee · 2026 · BMJ Oncology
51. Inteligencia artificial en la sistematización de historias clínicas: revisión sistemática de la literatura
    Cristina Mishell Zurita Pozo, Marcela Estefania Alcivar Fernandez · 2025 · Revista Ecuatoriana de Ciencias de la Salud Alianza del Sur.
52. Supporting Hospital Operational Decision-Making Through Early Prediction of Length of Stay
    Matilde De Sousa, João Lopes, Tiago André Saraiva Guimarães, Agostinho Barbosa, Manuel Filipe Santos · 2026 · Lecture notes in computer science
53. A Scalable Machine Learning Architecture on SAP BTP for AI-Augmented Clinical Trial Optimization and Adaptive Patient Cohort Stratification in Pharmaceutical Research
    Vishnu Vardhan Reddy Yeruva · 2026 · International conference Computer Networks and Inventive Communication Technologies
54. ARTIFICIAL INTELLIGENCE IN INTENSIVE CARE UNITS: CLINICAL APPLICATIONS, ETHICAL CHALLENGES AND FUTURE DIRECTIONS - A NARRATIVE REVIEW
    Jakub Swiech, Marta Kamrowska, Katarzyna Apanasewicz, Filip Kopacki, Weronika Szczeblewska, Daniel Jaskot, Jakub Marzec, Natalia Kita, Natalia Sztenc, Patrycja Broniszewska · 2026 · International Journal of Innovative Technologies in Social Science
55. AISA: A Hybrid Human-AI Evaluation Framework for Trustworthy AI Benchmarking
    Yasser El Hardouz · 2026 · International Conference on Electronics, Computers and Artificial Intelligence (ECAI)
56. Stop comparing spells: a defense of mechanistic reasoning in quantitative medicine
    Madhur Mangalam, Ken Kiyono · 2026 · Frontiers in Digital Health
57. From Code to Clinic: Bridging the Implementation Gap in AI-Based Clinical Decision Support
    Ehsan Ghazanfari Savadkoohi, Farkhondeh Asadi, Hassan Emami · 2026 · International Interdisciplinary Conference on Artificial Intelligence: Engineering, Health, Finance and Humanities (IICAI)
58. Human-centered digital ecosystem: safeguarding healthcare workers' sleep, ergonomics, and occupational health
    任栋慧, 曲玉芳, Hui Sun · 2026 · Frontiers in Public Health
59. Continuous assurance for AI-driven clinical decision support systems
    Rami A. Al‐Horani, Amanuel F. Tadesse · 2026 · Frontiers in Artificial Intelligence
60. Patient Safety Reimagined: Designing the Future of Healthcare
    Kristen Rasmussen · 2026 · Springer eBooks
61. Linguistic and Persona-Based Vulnerabilities in LLM Safety Responses to Antibiotic-Related Queries
    David Alexis García Espinosa, Luis Eduardo Flores Luna, Ángel Andrés Moreno Sánchez, Luis Fernando Caporal Montes de Oca · 2026 · IEEE International Conference on Healthcare Informatics (ICHI)
62. Trust and Reliance on Artificial Intelligence–Based Clinical Decision Support Systems.Implications for Nursing Practice
    Pratik Salve, Suresh Ray, Supriya Pottal Ray, Bahubali Jinnappa Geddugol, Husain K Nadaf, Mangesh Jabade, Narayan Krishnaji Ghorpade · 2026 · Investigación y Educación en Enfermería
63. A systematic review of artificial intelligence and machine learning for public health predictions using electronic health records in low and middle income countries with comparative benchmarks from high income settings
    Joe Phiri, Aaron Zimba, Chiyaba Njovu, Mwansa Lumpa · 2026 · Discover Artificial Intelligence
64. Bridging Predictive Modelling and Healthcare Workflows: A Machine Learning-Enabled Clinical Decision Support System
    Kavyapriya Renganathan, Waqar Haque, Anurag Singh, Mark Elliott, Mohammad Atiquzzaman, Alexandra Romann · 2026
65. From algorithmic performance to ethical governance: a deployment-oriented framework for responsible healthcare AI
    Shehu Mohammed, Neha Malhotra, Sourabh Kumar · 2026 · AI and Ethics
66. Machine Learning and High-Fidelity Data in Medicine and Surgery
    Rohit S. Loomba, Saul Flores, Izzet Turkalp Akbasli, Wesam Sourour, Fabio Savorgnan · 2026 · IntechOpen eBooks
67. AI-Driven Analysis of Device Duration in Anesthesiology
    Arnab Sutar, Brandon Tabman, Huda Fatima, Payam Norouzzadeh, Yuri Martins, Mostafa Yazdi, Bahareh Rahmani · 2026 · medRxiv
68. Transforming cancer care in emerging economies: India’s AI innovation
    Ashok Kumar Sharma, Alisha Behera, Sahar Qazi, Samanvaya Gupta, Ekta Dhamija, Rambha Pandey, Kunhi Parambath Haresh, Lakshmi Panat, Swapna Yenishetti, Babita Kataria et al. · 2026 · The BRICS Health Journal
69. Scoping review of equity considerations in digitally enabled patient education interventions for self-managing chronic musculoskeletal pain
    Hina Khalid, Nourah Basalem, Sanniya Saleem, Hurmah Shoaib, Nida Ahmed, Kanwal Baloch, Ali Mawfek Khaled Hindi, Sabine N van der Veer, Syed Mustafa Ali · 2026 · Frontiers in Public Health
70. User Perceptions of Siloed Versus Time-Synchronized Data Architectures for AI-Based Digital Mental Health: Within-Subjects Scenario Study (Preprint)
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71. Artificial intelligence in interventional cardiology: present landscape and future directions
    Jiayuan Li, Yufei Li, Qifeng Zhu, Xianbao Liu · 2026 · Vessel Plus
72. Implementation and use of EHR-integrated large language model-generated draft responses in patient portal messaging: a 1-year prospective observational study in a tertiary hospital
    Anne H. Hoekman, Charlotte MHHT Bootsma-Robroeks, Tarannom Mehri, Job Nicolaas Doornberg, Tom P. van der Laan, Stephanie C. E. Schuit, Rosanne C. Schoonbeek · 2026 · BMJ Open