The current and future state of AI interpretation of medical images
The Current and Future State of AI Interpretation of Medical Images | New England Journal of
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …
AI in health and medicine
Artificial intelligence (AI) is poised to broadly reshape medicine, potentially improving the
experiences of both clinicians and patients. We discuss key findings from a 2-year weekly …
experiences of both clinicians and patients. We discuss key findings from a 2-year weekly …
Evaluation and mitigation of the limitations of large language models in clinical decision-making
Clinical decision-making is one of the most impactful parts of a physician's responsibilities
and stands to benefit greatly from artificial intelligence solutions and large language models …
and stands to benefit greatly from artificial intelligence solutions and large language models …
[HTML][HTML] Transparency of deep neural networks for medical image analysis: A review of interpretability methods
Artificial Intelligence (AI) has emerged as a useful aid in numerous clinical applications for
diagnosis and treatment decisions. Deep neural networks have shown the same or better …
diagnosis and treatment decisions. Deep neural networks have shown the same or better …
Disparities in dermatology AI performance on a diverse, curated clinical image set
An estimated 3 billion people lack access to dermatological care globally. Artificial
intelligence (AI) may aid in triaging skin diseases and identifying malignancies. However …
intelligence (AI) may aid in triaging skin diseases and identifying malignancies. However …
Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support
Advances in artificial intelligence (AI) are enabling systems that augment and collaborate
with humans to perform simple, mechanistic tasks such as scheduling meetings and …
with humans to perform simple, mechanistic tasks such as scheduling meetings and …
Heterogeneity and predictors of the effects of AI assistance on radiologists
The integration of artificial intelligence (AI) in medical image interpretation requires effective
collaboration between clinicians and AI algorithms. Although previous studies demonstrated …
collaboration between clinicians and AI algorithms. Although previous studies demonstrated …
Lack of transparency and potential bias in artificial intelligence data sets and algorithms: a sco** review
R Daneshjou, MP Smith, MD Sun… - JAMA …, 2021 - jamanetwork.com
Importance Clinical artificial intelligence (AI) algorithms have the potential to improve clinical
care, but fair, generalizable algorithms depend on the clinical data on which they are trained …
care, but fair, generalizable algorithms depend on the clinical data on which they are trained …
A reinforcement learning model for AI-based decision support in skin cancer
We investigated whether human preferences hold the potential to improve diagnostic
artificial intelligence (AI)-based decision support using skin cancer diagnosis as a use case …
artificial intelligence (AI)-based decision support using skin cancer diagnosis as a use case …
Do as AI say: susceptibility in deployment of clinical decision-aids
Artificial intelligence (AI) models for decision support have been developed for clinical
settings such as radiology, but little work evaluates the potential impact of such systems. In …
settings such as radiology, but little work evaluates the potential impact of such systems. In …