Digital Therapeutics
Every article we have published: research summaries, product thinking and developments in health AI.
Digital Therapeutics Β· 361 articles
Siloam Hospitals Enhances AI Integration Through New Partnerships
Siloam Hospitals partners with Philips to enhance AI in healthcare. π€π Focus areas include radiology, telemedicine, and training.
Microsoft Unveils Advanced AI Solutions for Healthcare
Microsoft introduces AI advancements in healthcare, enhancing patient care and clinician workflows. Key features include data integration and automated documentation. π₯π€
Digital health in cardiovascular medicine: An overview of key applications and clinical impact by the Portuguese Society of Cardiology Study Group on Digital Health.
Digital health is transforming cardiovascular care. π« Key applications and challenges discussed in a recent PubMed article. π
Prognostic model for predicting Alzheimer’s disease conversion using functional connectome manifolds.
A new prognostic model predicts Alzheimer's conversion risk using functional connectivity. Early detection is vital for effective management. π§ π
AI Innovations Prevent Hospitalizations for 300,000 Patients
AI innovations in healthcare have successfully prevented hospitalizations for 300,000 patients, enhancing triage accuracy and efficiency. π€π₯
Machine learning based intratumor heterogeneity signature for predicting prognosis and immunotherapy benefit in stomach adenocarcinoma.
A recent PubMed article explores a machine learning signature for predicting outcomes in stomach adenocarcinoma. ππ¬
New Office to Facilitate Safe AI Innovations in Healthcare
New Regulatory Office to Enhance Safe AI Innovations in Healthcare π₯π€. Aims to streamline approvals and boost public access.
AI Chatbots Show Comparable Accuracy to Doctors for Low Back Pain Guidance
AI chatbots show promise in providing accurate low back pain advice, comparable to doctors. π€π¬ However, limitations exist.
Visualization obesity risk prediction system based on machine learning.
A new machine learning system predicts obesity risk, aiding personalized health management. ππ€ Key findings from a recent PubMed article.
Precision molecular insights for prostate cancer prognosis: tumor immune microenvironment and cell death analysis of senescence-related genes by machine learning and single-cell analysis.
New research highlights aging genes' role in prostate cancer prognosis. A predictive model shows promise for improved outcomes. ππ¬
A foundation model for clinician-centered drug repurposing.
A new AI model, TxGNN, enhances drug repurposing accuracy for various diseases. Promising results for clinicians. ππ
‘Omics-Based Digital Twins for Personalised Paediatric Healthcare.
Digital twins in pediatric healthcare may revolutionize treatment. π We reviewed a study on their potential applications. π§¬
Also on LinkedIn
AI Health Hub posts the same research summaries on LinkedIn every day. More than 3,000 people follow it there.