Brita Belli

A new blood test developed by researchers in Australia could help diagnose sepsis and septic shock in just one hour, compared to the current multi-day methods. The Journal of Proteome Research reported the findings on March 21.

The Environmental Protection Agency (EPA) has finalized a rule to reduce chloroprene and ethylene oxide emissions that will impact over 200 chemical plants across the nation, including medical sterilization plants, according to an April 10 report from USA Today.

A new method of organ preservation could allow researchers a much longer window to keep transplanted organs alive. Medical Xpress reported on the findings April 5.

Artificial intelligence (AI) is a useful tool for helping clinicians to determine health problems from medical imaging, but AI often provides just one answer, when there may be a number of possible interpretations. Now, researchers from MIT, the Broad Institute of MIT and Harvard, and Massachusetts General Hospital have introduced a new AI tool that can capture the uncertainty in a medical image. On testing the system with datasets of annotated images, the researchers found that Tyche made better, faster predictions than existing models. It also outperformed more complex models.

The World Health Organization (WHO) is sounding the alarm about the rise of the bird flu virus—H5N1—and the threat it poses to humans, Medical Xpress reported on April 18.

Over the last 10 years, private equity has taken over many of the nation’s health care facilities—from hospitals to nursing homes to physician practices—spending $1 trillion and instituting changes designed to rapidly increase profits, NBC News reported April 9.

An AI prediction model that uses near-real-time data to generate a patient risk score shows the promise of AI for helping physicians and nurses coordinate on patient care, according to findings published March 25 in JAMA Internal Medicine.

A study published March 30 in Nurse Education in Practice found that the majority of nurses with less than 2 years of work experience are uncomfortable performing more complex procedures independently.

Most healthcare-associated surgical site infections are not caused by pathogens acquired in the hospital, but by previously harmless bacteria already present on patients’ skin prior to being admitted, according to a study published April 10 in Science Translational Medicine.

When it comes to the adoption of artificial intelligence (AI) in medicine, radiology is leading the charge. As of May 13, 2024, the US Food and Drug Administration (FDA) had approved nearly 900 AI- and machine learning (ML)-enabled devices, and the vast majority of them are in radiology. One example is startup Envisionit Deep AI’s Radify chest X-ray software, which enables doctors to diagnose the dangerous lung conditions pneumothorax and pleural effusion in emergency rooms and intensive care units in just 3 seconds on average. Another is the TumorSight digital platform from SimBioSys. This system uses standard imaging from a breast cancer patient to create a 3D model of the tumor, providing additional insights on volume, distance to anatomical features, and more for guiding treatment.