Editor’s Choice

Each month, our editorial team vote for two articles published in the last 12 months to be featured on the homepage

Nov-Dec 2023

• A Natural Language Processing Approach to Categorize Contributing Factors from Patient Safety Event Reports
• Anticipating Artificial Intelligence in Mammography Screening: Views of Swedish breast radiologists

May - July 2023

• • • IT risk management for medical devices in hospital IT networks: a catalogue of measures and indicators
    • Healthcare provider evaluation of machine learning-directed care: reactions to deployment on a randomised controlled study

March - April 2023

• • • Keep it simple: designing a user-centred digital information system to support chronic disease management in low/middle-income countries
    • Extension of the Unified Theory of Acceptance and Use of Technology 2 model for predicting mHealth acceptance using diabetes as an example: a cross-sectional validation study

November 2022

• • • User-centred design for machine learning in health care: a case study from care management
    • Early detection of autism spectrum disorder in young children with machine learning using medical claims data

June 2022

• • • Improving medication management: an online expert discussion
    • Emergency department and urgent care clinician perspectives on digital access to past medical histories

April 2022

• • • Conceptualizing Fairness: Three Pillars for Medical Algorithms and Health Equity
    • Connecting Artificial Intelligence and Primary Care Challenges: Findings from a Multi-Stakeholder Collaborative Consultation

January 2022

• • • Development and validation pathways of artificial intelligence tools evaluated in randomized clinical trials.
    • Exploring stakeholder attitudes towards AI in clinical practice

November 2021

• • • Machine Learning for Outcome Predictions of Trauma Patients During Emergency Department Care
    • An evaluation framework to guide implementation of AI systems into healthcare settings

July 2021

• • • Impact of an anticipatory care planning intervention on unscheduled acute hospital care using difference in difference analysis
    • Categorizing patient concerns using natural language processing techniques

April 2021

• • • The performance of national COVID-19 “Symptom Checkers”: A comparative case simulation study
    • How machine learning is embedded to support clinician decision-making: An analysis of FDA approved medical devices.

January 2021

• • Improving the impact of clinical documentation through patient-driven co-design: Experiences with cancer pathology reports
  • Development and validation of a machine learning model to predict mortality risk in patients with COVID-19