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.
Anyone who has exchanged a few lines of dialogue with a large language model (LLM), will probably agree that generative AI is an impressive new breed of technology. LLMs show great potential in addressing some of the most urgent challenges in healthcare. At the Medica tradefair, several expert sessions were dedicated to generative AI, its potential medical applications and current caveats.
To advance the transition of AI from research to clinical application, Nvidia announced that Siemens Healthineers has adopted MONAI, an open-source medical imaging framework.
Karolinska University Hospital is among the most transparent hospitals worldwide. Using AI, the hospital can accurately demonstrate where lives have been saved, and harm avoided for patients.
Molecular pathology should become centralised in fewer labs to improve efficiencies and affordability, according to leading European experts.
Increasing implementation of robotic automation and AI will speed up scientific progress in science laboratories, according to a new study. The experts outline this process across distinctive levels.
The study offers valuable insights into the impact of AI technologies on everyday clinical processes. Above all, however, the study calls for clearly structured future research.
Because radiology exams are an integral part of the treatment process for many hospital inpatients, any improvements in efficiency can have a positive ripple effect on routine hospital operations and functionality. Two quality control presentations at the 2023 RSNA Annual Meeting shared the theme of creating representational staff teams to identify bottlenecks involving radiology report…
Sakura Finetek’s Tissue-Tek Xpress® x120 Rapid Tissue Processor is the only instrument on the market that allows for continuous, rapid processing of both biopsy and larger tissue, resulting in a streamlined histology workflow. Being part of Sakura’s SMART Automation concept, this tissue processing solution is designed to automate manual work and create a continuous flow throughout the lab.
A bit more mucus in the nose, a little less air in the gut: Even small changes can be important when planning proton therapy against cancer. A new workflow allows for an adapted irradiation every day.
Can operating room design help improve orthopedic surgery procedures? A new study suggests that OR size and layouts can impact the length of knee- and hip-replacement surgeries.
ChatGPT has brought generative AI to the mainstream – and into many GP practices as well, a new study suggests. The work points out the risk of doctors using AI without clear guidance or policies.
Although the Covid-19 pandemic is behind us, healthcare facilities continue to experience workflow challenges and resource constraints impacting women’s health and a patient’s ability to receive a timely diagnosis. Clinical specialties like breast radiology and cytology are especially susceptible to these issues and continue to experience backlogs, which impact their ability to deliver timely…
Autonomous robotic ultrasound systems could perform routine examinations and support doctors in the OR. New research shows that these systems can make everyday life easier for medical professionals.
‘Computer, why did the doctor take that MRI scan of my leg? And what did it show?’: Popularized by OpenAI’s ChatGPT, generative artificial intelligence (AI) is already beginning to see practical applications in medical settings. The technology holds immense potential, with benefits for patients, clinicians, and even hospital administration, according to Shez Partovi, MD.
While having more centers adopt digital breast tomosynthesis (DBT) for breast cancer screenings into their practice is a positive change, it also presents some challenges for radiologists—particularly the increased number of images for radiologists to review. This challenge has paved the way for AI to offer innovative workflow solutions for radiologists that do not sacrifice accuracy.
To reduce avoidable errors, especially involving injectable medications in anaesthesia care, UK experts have published a new guidance on safe injection practice.
One doctor, treating multiple patients with the same condition at the same time: The concept of "shared medical appointments" could help increasingly understaffed healthcare systems.
Machine-learning algorithms are 13% more accurate in predicting the surgical time needed in the operating room compared with human schedulers, according to new US research.
