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Korea to develop AI-driven surgery assistant robot and more briefs

MobiHealthNews - (Monday May 19, 2025)
Frequent Updates/ MobiHealthNews

Korean ARPA-H to build AI-driven surgery assistant robot The Ministry of Health and Welfare (MOHW) in South Korea and the Korea Health Industry Development Institute (KHIDI) announced three additional projects under the Korean Advanced Research…

Telstra Health onboards Salesforce, Snowflake and more briefs

MobiHealthNews - (Monday May 19, 2025)
Frequent Updates/ MobiHealthNews

Telstra Health taps Salesforce, Snowflake for its ongoing modernisationCloud software providers Salesforce and Snowflake will integrate their solutions into Telstra Health’s upcoming digital health platform.
Based on a media release, Snowflake will provide a common…

Engaging an advisory board in discussions about the ethical relevance of algorithmic bias and fairness

npj Digital Medicine - (Sunday May 18, 2025)
Frequent Updates/ npj Digital Medicine

We are an interdisciplinary team of researchers that are working to advance algorithmic fairness in the research of opioid use disorders. We discuss challenges that our research team faced when engaging with our Advisory…

Monday Morning Update 5/19/25

HIStalk - (Sunday May 18, 2025)
Daily Reads/ HIStalk

Top News

Shares of Scotland-based Craneware jump on reports that Bain Capital is considering acquiring the company.
Bain Capital confirmed that Bain Capital Funds is assessing a possible offer, but it has not involved Craneware’s board.
The…

How Coleen Kirnan Transformed Her Career from Real Estate to Culinary Travel and Hospitality

eHealth Radio Network - (Saturday May 17, 2025)
eHealth Radio Network/ Podcasts

 

Coleen Kirnan, the Owner and Host of Tuscan Women Cook, the culinary immersion vacation in the Tuscan village of Montefollonico in Italy joins eHealth Radio and the Health News and Nutrition Channels.

Listen to interview…

Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings

npj Digital Medicine - (Saturday May 17, 2025)
Frequent Updates/ npj Digital Medicine

Deep learning techniques have significantly enhanced the convenience and precision of ultrasound image diagnosis, particularly in the crucial step of lesion segmentation. However, recent studies reveal that both train-from-scratch models and pre-trained models often…

Development and prospective implementation of a large language model based system for early sepsis prediction

npj Digital Medicine - (Saturday May 17, 2025)
Frequent Updates/ npj Digital Medicine

Sepsis is a dysregulated host response to infection with high mortality and morbidity. Early detection and intervention have been shown to improve patient outcomes, but existing computational models relying on structured electronic health record…

Social determinants of health extraction from clinical notes across institutions using large language models

npj Digital Medicine - (Saturday May 17, 2025)
Frequent Updates/ npj Digital Medicine

Detailed social determinants of health (SDoH) is often buried within clinical text in EHRs. Most current NLP efforts for SDoH have limitations, investigating limited factors, deriving data from a single institution, using specific patient…

FedWeight: mitigating covariate shift of federated learning on electronic health records data through patients re-weighting

npj Digital Medicine - (Saturday May 17, 2025)
Frequent Updates/ npj Digital Medicine

Federated learning (FL) enables collaborative analysis of decentralized medical data while preserving patient privacy. However, the covariate shift from demographic and clinical differences can reduce model generalizability. We propose FedWeight, a novel FL framework…

The DRAGON benchmark for clinical NLP

npj Digital Medicine - (Saturday May 17, 2025)
AI/ Frequent Updates/ npj Digital Medicine

Artificial Intelligence can mitigate the global shortage of medical diagnostic personnel but requires large-scale annotated datasets to train clinical algorithms. Natural Language Processing (NLP), including Large Language Models (LLMs), shows great potential for annotating…


I am an experienced healthcare executive with over 15 years of deep clinical and informatics expertise in the design, development, implementation and support of complex healthcare solutions. Beginning my career as a cardiologist, I understand the needs of clinicians and the nature of their work.