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Call for Papers: AI Applications in Biomedical Engineering

JMIR Biomedical Engineering is inviting submissions for a new section titled "AI Applications in Biomedical Engineering." This themed section explores the integration of biomedical engineering and artificial intelligence (AI), focusing on how AI's capabilities are changing health care.

SALSA: A New AI Tool for the Automated and Precise Analysis of Liver Tumors

Investigators of the Vall d'Hebron Institute of Oncology's (VHIO) Radiomics Group, led by Raquel Perez-Lopez, have developed SALSA (System for Automatic Liver tumor Segmentation And detection), a fully automated deep learning-driven tool for the precise and completely automated detection and monitoring of liver tumors (hepatocellular carcinoma).

Siemens Healthineers infection Control System Reduce Occurrences of Infection at KRH Klinikum Siloah in the Hannover Region

Klinikum Region Hannover (KRH) has commissioned Siemens Healthineers to install infection control system (ICS) at the Klinikum Siloah hospital. The ICS aims to effectively tackle nosocomial infections and increase patient and employee safety. The systems detect and record potential pathogen sources and trigger automated processes to take the right measures at the right time.

AI could Help Improve Early Detection of Interval Breast Cancers

A new study led by investigators at the UCLA Health Jonsson Comprehensive Cancer Center suggests that artificial intelligence (AI) could help detect interval breast cancers - those that develop between routine screenings - before they become more advanced and harder to treat.

Building Trust in Artificial Intelligence for Healthcare: Lessons from Clinical Oncology

A new review, published in the peer-reviewed journal AI in Precision Oncology, explores the multifaceted reasons behind the skepticism surrounding artificial intelligence (AI) technologies in healthcare and advocates for approaches to build confidence in AI applications.

AI Tool Helps Predict Relapse of Pediatric Brain Cancer

Artificial intelligence (AI) shows tremendous promise for analyzing vast medical imaging datasets and identifying patterns that may be missed by human observers. AI-assisted interpretation of brain scans may help improve care for children with brain tumors called gliomas, which are typically treatable but vary in risk of recurrence.

NHS, Councils, and Housing could Share New Risk Insights to Cut Hospital Demand through C2-Ai and Netcall Partnership

A new technology partnership formally announced, could help NHS, local government, and housing organisations collaborate to create an unprecedented understanding of the risks and needs of people in their care. Resulting intelligence could enable co-ordinated decisions that help to ease demand on recovering NHS services, prevent avoidable harm and A&E visits, and target community interventions where they can make the biggest impact for individuals.

DIGITAL HEALTH NEWS

Call for Papers: AI Applications in Biomedical Engineering

SALSA: A New AI Tool for the Automated and Precise Analysis of Liver Tumors

Siemens Healthineers infection Control System Reduce Occurrences of Infection at KRH Klinikum Siloah in the Hannover Region

AI could Help Improve Early Detection of Interval Breast Cancers

Building Trust in Artificial Intelligence for Healthcare: Lessons from Clinical Oncology

AI Tool Helps Predict Relapse of Pediatric Brain Cancer

NHS, Councils, and Housing could Share New Risk Insights to Cut Hospital Demand through C2-Ai and Netcall Partnership

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