Signals shaping
health AI.
A focused stream of research, industry developments and ideas selected for people building the future of health.
Research and developments, with a clear point of view.
Machine learning-assisted screening of clinical features for predicting difficult-to-treat rheumatoid arthritis.
Machine learning predicts difficult-to-treat rheumatoid arthritis with 0.606-0.747 accuracy. Key features include DAS28-ESR and...
Non-invasive integrated swallowing kinematic analysis framework leveraging transformer-based multi-task neural networks.
Revolutionary swallowing analysis framework achieves 92% accuracy using HRCA signals! 🤖💧 Key for speech-language...
The Role of Immune Checkpoint Inhibitors in Cancer Therapy: Mechanism and Therapeutic Advances.
Immune checkpoint inhibitors revolutionize cancer therapy, yet challenges like efficacy variability and adverse events...
New avenues in childhood vasculitis.
Exploring childhood vasculitis: recent advances in diagnosis, treatment, and future directions. 📊🩺
Artificial Intelligence Applications in Haemophilia Care: A Narrative Review of the Literature.
AI in Haemophilia Care: Enhancing Diagnosis & Treatment Precision 🤖🩸
Automated data collection in cancer care: State of play among registries in the United Kingdom and Europe.
Automated coding in cancer registries: 12.8% use, 73.3% for pathology data, 87% efficiency reported....
Shared decision-making in radiology: leadership levers for patient-centred imaging.
Shared decision-making in radiology enhances patient care through leadership strategies and AI tools. Key...
Mersey Care Introduces Digital Support Platform for Young People with Anorexia
Mersey Care launches TRIANGLE, a digital platform for young people with anorexia, offering resources...
Human-in-the-Loop Performance of LLM-Assisted Arterial Blood Gas Interpretation: A Single-Center Retrospective Study.
LLM-assisted ABG interpretation shows strong concordance with expert evaluations, enhancing medical education and reducing...