To reduce the radiation exposure for patients undergoing frequent CT scans for pneumonia diagnosis, deep learning-based denoising of ultra-low dose CT presents a viable alternative.
A new PET tracer has the potential to play a critical role in the diagnosis, treatment, and monitoring of aggressive triple-negative breast cancer (TNBC), improving clinical outcomes for patients.
Periods of hypoglycemia in diabetes patients can cause impaired judgment and lead to traffic accidents. A new study shows that continuous glucose monitoring (CGM) devices can help mitigate this risk.
Machine learning models fail to detect key health deteriorations in the ICU: a new study reveals that 66% of critical injuries in hospitals would go unnoticed if the current AI models were put to use.
For patients, a liquid biopsy which checks for circulating tumour DNA of colon cancer, resembles a standard blood test. However, the method helps avoid chemotherapy for many, a new study finds.
When a Neonatal Intensive Care Unit (NICU) runs out of capacity, babies often have to be moved, creating health risks. Researchers investigate how flexible deployment of nurses can prevent this.
The work of a nurse is becoming increasingly digital. A new study shows that nurses need to expand their professional competencies beyond their traditional skills to adapt to these changes.
Generative AI can detect and quantify cognitive biases of human caregivers during medical emergency situations. This way, LLMs could help reduce the impact of bias based on gender, age, or ethnicity.
A pacemaker designed for babies could fill an unmet need for newborns with congenital heart defects and other heart conditions, finds a new study.
Playing video games to recover hand and wrist mobility? A new system of exergames demonstrates the potential for rehabilitation while providing therapists with data to analyse patients’ progress.
Researchers developed an advanced AI tool for automatic analysis of colorectal cancer tissue slides. The new model outperformed all predecessors in the classification of tissue microscopy samples.
Researchers developed an AI-based system which has has a broad ability to identify even subtle differences between medical images taken at different times, and to predict related outcome measures.
A new blood test, using neurofilament light chainproteins as biomarker, could lead to better diagnosis and management of amyotrophic lateral sclerosis (ALS).
A new AI-enhanced technique makes breast cancer tissue “glow” on MRI scans. This not only improves breast cancer detection but also can help treat it more effectively, the researchers say.
Research on biliary tract cancer is advancing rapidly, ranging from targeted treatments to new drugs. However, the delivery of these advances to patients is lagging behind, new European studies find.
A newly-developed robot can detect medication side-effects in patients after heart arrhythmia treatment faster than a human doctor, while reducing the number of follow-up tests.
Crohn’s disease is incurable, with high rates of recurrence. A new approach, involving surgical removal of the mesentery, dramatically reduces the possibility that follow-up surgery will be needed.
Promising insights into amyotrophic lateral sclerosis (ALS): New research links characteristic symptoms of the disease, such as motor impairment and respiratory issues, to sleep disorders.
The discovery of a 'biomarker panel' could have a profound impact on the ability to identify patients at risk of developing pancreatic cancer at an earlier stage, researchers hope.
