All Stories

  1. Ambient Artificial Intelligence Scribes: A Reality Check—Insights From Two RCTs
  2. The Architectural Shift: Integrating Artificial Intelligence from the Ground Up in Undergraduate Medical Education
  3. Patient-centric radiology: Utilising large language models (LLMs) to improve patient communication and education
  4. ED-Triage-Agent: A Framework for Human-AI Collaborative Emergency Triage
  5. Transforming Global Healthcare Delivery
  6. Preparing Australian Healthcare Managers for Artificial Intelligence: Current trends and strategic imperatives
  7. Taking A Risk-Based Approach in Adapting Clinical Governance Systems to Virtual Care Settings
  8. Bayesian Analysis of AI-Driven Cost Savings in UK and Australian Healthcare Systems: A Cross-Sector Implementation Study (Preprint)
  9. Beyond the Leaderboard: The Limitations of LLM Benchmarks and the Case for Real-World Clinical Evaluation
  10. ​AI in the doctor-patient encounter
  11. Using generative artificial intelligence in clinical practice: a narrative review and proposed agenda for implementation
  12. Simplification and Translation of Medical Reports Using Large Language Models-A Protocol for the Indian Context
  13. Global Health in the Age of AI: Charting a Course for Ethical Implementation and Societal Benefit
  14. Deep learning classification integrating embryo images with associated clinical information from ART cycles
  15. Enabling Responsible AI Agents in Healthcare: A Comprehensive Framework for Clinical Integration, Triage, and Personalized Service Delivery
  16. Global Harmonization of Artificial Intelligence-Enabled Software as a Medical Device Regulation: Addressing Challenges and Unifying Standards
  17. The long road ahead: navigating obstacles and building bridges for clinical integration of artificial intelligence technologies
  18. Translational AI: Bridging the Gap Between Research and Clinical Practice
  19. Generative artificial intelligence (AI): a key innovation or just hype in primary care settings?
  20. HUMANE: Harmonious Understanding of Machine Learning Analytics Network—global consensus for research on artificial intelligence in medicine
  21. Assessing Machine Learning for Diagnostic Classification of Hypertension Types Identified by Ambulatory Blood Pressure Monitoring
  22. Discussing the Role of Explainable AI and Evaluation Frameworks for Safe and Effective Integration of Large Language Models in Healthcare
  23. Predicting chronic kidney disease progression using small pathology datasets and explainable machine learning models
  24. The digital divide in rural and regional communities: a survey on the use of digital health technology and implications for supporting technology use
  25. Generative AI in healthcare: an implementation science informed translational path on application, integration and governance
  26. Case Study: Design of an Approach for Assessing a Novel Health Capability Maturity Model
  27. Predicting chronic kidney disease progression using small pathology datasets and explainable machine learning models
  28. An Introduction to Artificial Intelligence
  29. Ethics, Regulation and Legal Issues of AI in Healthcare
  30. Translational Application of Artificial Intelligence in Healthcare
  31. Translational Challenges of Implementing AI in Healthcare
  32. Exploring the utility of artificial intelligence of intrapartum cardiotocography: a systematic review
  33. Navigating the AI Revolution: The Case for Precise Regulation in Health Care
  34. Application of a Comprehensive Evaluation Framework to COVID-19 Studies: Systematic Review of Translational Aspects of Artificial Intelligence in Health Care
  35. Navigating the AI Revolution: The Case for Precise Regulation in Health Care (Preprint)
  36. Survey and Evaluation of Hypertension Machine Learning Research
  37. Evaluating Large Language Models for use in healthcare: A Framework for Translational Value Assessment
  38. Application of comprehensive evaluation framework to Coronavirus Disease 19 studies: A systematic review of translational aspects of artificial intelligence in health care
  39. Embryo selection through artificial intelligence versus embryologists: a systematic review
  40. Evaluating large language models for use in healthcare: A framework for translational value assessment
  41. Reply: Artificial intelligence as a door opener for a new era of human reproduction
  42. Origin of novel coronavirus causing COVID-19: A computational biology study using artificial intelligence
  43. Application of a Comprehensive Evaluation Framework to COVID-19 Studies: Systematic Review of Translational Aspects of Artificial Intelligence in Health Care (Preprint)
  44. Explainability and artificial intelligence in medicine
  45. Quality use of artificial intelligence in medical imaging: What do radiologists need to know?
  46. Predictive Accuracy and Clinical Utility of Machine Learning Prediction for Classifying Blood Pressure Status
  47. Evaluation framework to guide implementation of AI systems into healthcare settings
  48. Artificial intelligence in healthcare-opportunities and challenges
  49. Enabling change in public health services: Insights from the implementation of nurse mentoring interventions to improve quality of obstetric and newborn care in two North Indian states
  50. Use and validation of text mining and cluster algorithms to derive insights from Corona Virus Disease-2019 (COVID-19) medical literature
  51. Enabling change in public health services: Insights from the implementation of nurse mentoring interventions to improve quality of obstetric and newborn care in two North Indian states
  52. Enabling change in public health services: Insights from the implementation of nurse mentoring interventions to improve quality of obstetric and newborn care in two North Indian states
  53. Artificial intelligence and healthcare—why they need each other?
  54. AI in global healthcare: Need for robust governance frameworks
  55. A Qualitative Evaluation of a Clinical Faculty Mentorship Program Using a Realist Evaluation Approach
  56. A governance model for the application of AI in health care
  57. Evaluation of clinical quality improvement interventions: feasibility of an integrated approach
  58. Artificial intelligence-enabled healthcare delivery
  59. A review of hospital reforms in 4 countries over 20 years.
  60. Use of clinical guidelines in remote Australia: A realist evaluation
  61. Identifying an appropriate Content Management System to develop Clinical Practice Guidelines: A perspective
  62. Exploration of funding models to support hybridisation of Australian primary health care organisations
  63. A Realist Case Study of a Regional Hospitals Response to Improve Emergency Department Access in the Context of Australian Health Care Reforms
  64. Integrated health care: it’s time for it to blossom
  65. Evaluating impact of clinical guidelines
  66. Realist Evaluation of a remote hospital programme in the context of Australian health care reforms
  67. Can Australia's clinical practice guidelines be trusted?