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INNOVATIONS SUPPORTED BY BETA.HEALTH

Note! The project overview is currently being developed and will be updated continuously.

3Sonic – Rigshospitalet

3Sonic enables surgeons to immediately assess surgical margins in oral cancer using 3D ultrasound – improving precision and patient survival.

Dermloop – Herlev & Gentofte University Hospital

Dermloop is an AI-augmented platform for training, diagnostics, and clinical management of suspicious skin lesions, aiming to improve cancer detection and streamline patient flow.

DoseTracker – AUH

DoseTracker is a real-time software tool that monitors and compares planned vs. delivered radiation dose to moving tumors, helping clinicians make informed decisions during cancer treatment.

eLi12: Optimising Lithium Treatment for Bipolar Disorder – AUH

New mathematical formula enables more flexible and accurate lithium monitoring for bipolar disorder, improving safety and personalisation of treatment.

Identifying Eustachian Tube Dysfunction – AUH

A new medical device enables long-term middle-ear pressure measurement to diagnose Eustachian Tube Dysfunction (ETD) early – reducing complications, surgeries, and diagnostic delays.

MyLymphCare – University Hospital of Southern Denmark

A home-monitoring device enabling early detection and prevention of breast cancer-related lymphedema, reducing patient burden and healthcare costs.

WARD-CSS International – Rigshospitalet & Bispebjerg Hospital

Continuous AI-supported monitoring system detects complications early and frees clinical staff by reducing irrelevant alerts.

The Medication Review Web App - Bispebjerg & Frederiksberg Hospital

A user-friendly web app designed to simplify and enhance medication reviews by providing physicians with structured, real-time overviews of medication lists, purchase patterns, and potential risks.

Danish Pediactric Readiness - Rigshospitalet 

The Danish Pediatric Readiness Project strengthens emergency care for children by improving staff readiness, equipment and guidelines, with the Akut Barn app providing fast, age-specific treatment guidance

Gynloop Manage Task Transfer -  Odense University Hospital  

GynLoop is an integrated software and hardware platform designed to improve cervical examinations and colposcopies by providing structured training, asynchronous specialist guidance, and AI-assisted diagnostics.

 Improving Echocardiography  - Odense University Hospital 

The Improving Echocardiography project introduces EchoVice, a device that stabilizes the ultrasound probe, improving image quality, ergonomics, and procedure time in cardiac imaging.

Bladder Cancer Electroporation - Sjællands Universitetshospital

Bladder Cancer Electroporation uses calcium electroporation (CaEP) to selectively destroy cancer cells while preserving healthy tissue, offering a minimally invasive and cost-effective treatment with fewer side effects and hospital visits.

Medical device for Rectocele - Herlev and Gentofte Hospital

The Medical Device for Rectocele is a soft silicone device designed to restore vaginal anatomy and provide precise support for rectocele bulging

Klinisk Booking Program  - Odense University Hospital 

Klinisk Booking Program (KBP) is a digital tool that integrates near-real-time test results into outpatient workflows, ensuring patients are only booked when all relevant results are ready.

Project Pendragon - Rigshospitalet

Project Pendragon introduces a compact, portable device that automates the syringe-filling process in clinical environments

IMPRESS - Odense University Hospital

NOAH is an AI-based tool for diabetic retinopathy screening that analyzes retinal images in real time, accurately detects lesions, and classifies disease severity—improving diagnostic precision while freeing clinical resources for patient care.

Virtual Heart Clinic - Rigshospitalet

Virtual Heart Clinic allows patients to share data from wearables directly with cardiologists, enabling faster diagnosis and treatment

Opioid-Free Pain Treatment  - Hillerød anæstesiologisk afdeling

Opioid-Free Pain Treatment introduces a novel nerve block catheter system for safer, more effective postoperative pain relief

ATHENA - Rigshospitalet

ATHENA is an AI-assisted platform that automates preoperative anaesthetic assessments by analyzing airway images and health data.

Preventing (re-admissions) - Bornholms Hospital

The project introduces digital monitoring tools in municipal care to enable early patient assessment, prevent deterioration, and reduce unnecessary hospital (re)admissions through closer collaboration with hospitals.

User-Operated Audiometry - Odense University Hospital

The project focuses on implementing a solution that automates hearing examinations for clinical use, making them easily accessible to patients

Retrograde Nail for Hip Fracture - Bispebjerg Hospital

The Retrograde Nail for Hip Fracture is an innovative surgical solution designed to treat hip fractures in obese patients.

Video Intelligence intubaTION Camera - VITION-CAM - Rigshospitalet

VITION-CAM is an AI-powered solution integrated into video laryngoscopes, providing real-time anatomical guidance during intubation

Reducing Counterproductive Treatments - Rigshospitalet

The project develops an AI model predicting 30-day mortality in lung cancer patients to support treatment decisions, reduce futile end-of-life therapies, improve quality of life, and optimize healthcare resources.

Detection of UTI - Odense University Hospital

Uvigga is a lateral flow assay test designed for accurate, early point-of-care diagnosis of urinary tract infections (UTIs).

Praemostro - Odense University Hospital

Praemostro is an AI-driven forecasting tool that predicts patient attendance and hospital crowding up to 12 hours in advance.

PlastSurgeon- Digital Surgical Training and Decision Support - Roskilde Hospital  

PlastSurgeon is an open digital platform designed for training and surgical decision support in Plastic-, Breast-, and Reconstructive Surgery

AI Pulmonary for Heart Failure - Amager Hvidovre Hospital

AI Pulmonary for Heart Failure is an automated home surveillance system using AI-assisted stethoscope technology to detect early signs of fluid accumulation in the lungs.

Early detection of high-risk pregnancies using deep learning - Rigshospitalet

An AI-based solution that improves detection of high-risk pregnancies by up to15% compared to standard practice

Fecal virus Transplantation capsule eradicate antibiotic resistance Cl. diff. - Hvidovre Hospital

The project develops the first fecal virus transplantation (FVT) capsule—a safer, cheaper, and scalable alternative to fecal microbiota transplantation for recurrent C. difficile infections, aiming to restore gut balance, improve outcomes, and reduce healthcare costs.

Blood tests at home for patients with cancer in chemotherapy treatment - Sjællands Universitets Hospital

The project develops safe home-based blood self-testing for cancer patients at risk of low blood counts. Using next-generation POCT devices, it aims to reduce hospital visits, ease patient and family burden, and free healthcare resources while enabling faster treatment when needed.

PLATE - Rigshospitalet

A device for autologous intra-corporal single-staged tissue expansion.

3Sonic - Rigshospitalet

3Sonic enables surgeons to immediately assess surgical margins in oral cancer using 3D ultrasound – improving precision and patient survival.

Endoscopic addon system to classify ulcerative colitis (ENACT)  - Hvidovre Hospital

ENACT is an AI-based system that analyzes live endoscopic video of ulcerative colitis patients, providing real-time and expert-level scoring of disease severity.

U-Sleep: Automatic Clinical Sleep Staging

U-Sleep is a clinically robust deep learning model for automatic sleep staging. It replaces 2–3 hours of manual work per PSG with fast, reliable annotations—freeing up staff time and increasing diagnostic throughput.

Rhinomate - Aarhus University Hospital

Rhinomate is a simple, attachable device designed to improve the accuracy of intranasal medicine administration.

High, Medium and Low Intensity Interventions for Binge Eating Disorder (BED) - Region Hovedstaden, Psychiatric Center Ballerup

This project launches the world’s largest RCT for Binge Eating Disorder, the only eating disorder in Denmark without public treatment

PEACE - Prediction of cell changes in the cervix using artificial intelligence - Odense University Hospital 

PEACE is an AI tool that guides biopsy placement during colposcopy in real time.

trachAI: AI-informed identification of tracheostomy need - Rigshospitalet

trachAI leverages deep learning to predict prolonged MV needs using data from a wide range of ICU parameters.

AI-Cons: AI-constancy control with x-ray equipment - Rigshospitalet

AI-Cons is an AI-powered system for automated constancy control of X-ray equipment

WARD (Wireless Assessment of Respiratory and circulatory Distress - Clinical Support System) - Rigshospitalet

WARD is an AI-based support system using wireless sensors to monitor vital signs and detect early complications in hospitalized patients.

DNA-Analyse: Testing of donor-derived cell-free DNA as a noninvasive marker for organ damage in transplantation patients - Rigshospitalet

The DNA-Analyse project develops a novel blood test that measures organ-derived cell-free DNA (cfDNA) as a precise and early marker of organ damage or rejection in transplantation patients.

Home AED - Rigshospitalet

HOME-AED is a compact, low-cost automated external defibrillator designed for private homes and cars, ensuring rapid access to life-saving defibrillation where most out-of-hospital cardiac arrests (OHCA) occur

INSAI, The Nexus Neuromudulation Headband

Real Time Surgical Data - Rigshospitalet

Real Time Surgical Data enables real-time integration of electronic health records with AI models to predict postoperative complications.

fMRI Fingerpoint - Rigshospitalet

Our patented fMRI-compatible electrical stimulator safely combines electrical stimulation with functional MRI to measure brain responses in real time.

Pathology AI - Rigshospitalet

The AI Pathology project uses real-time machine vision and digital microscopy to support pathologists.

Mitigate - Rigshospitalet

MITIGATE introduces a home monitoring and virtual follow-up system for patients recovering from acute myocardial infarction (AMI).

Root of the Outbreak - Rigshospitalet

Root of the Outbreak enhances infection control by combining whole-genome sequencing of diverse bacteria with Epilinx, a tool visualizing patient movements.

LiverPro/EVIDO - Odense Univerity Hospital

LiverPRO is an AI-powered clinical decision support tool that detects advanced Fatty Liver Disease (FLD) with high accuracy using existing blood tests

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