A St. Michael's retinal surgeon and researcher has developed a new, minimally-invasive technique to repair retinal detachment that requires no incisions and can be done in the ophthalmologist's office. It could lead to faster ...
Aug 25, 2023
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The COVID-19 pandemic disrupted organ transplants in unprecedented ways. Many transplant centers considered slowing down and even pausing all transplants, mostly due to the potential risk of COVID-19 to organ donors, transplant ...
Aug 10, 2023
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Jim Weaver has had two major surgeries in the past decade: one to remove cancerous tumors from his bladder and another to clear a blocked artery.
Aug 2, 2023
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Vanderbilt University Medical Center (VUMC) neurologists and scientists, along with colleagues from Charité-Berlin University of Medicine, are reporting that the use of Deep Brain Stimulation (DBS) in a very specific location ...
Aug 2, 2023
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Researchers at the EPFL have achieved a breakthrough in the treatment of tracheomalacia, a condition characterized by weak tracheal cartilage and muscles that normally keep the airway open for proper breathing.
Jul 27, 2023
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An innovative anesthesiologist-led infection prevention program helped reduce the number of surgical site infections (SSIs) in colorectal patients by 50%, the number of days in the hospital by 46%, and led to significant ...
Jul 18, 2023
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Starting a patient-controlled epidural anesthesia (PCEA) infusion while the patient is still in the operating room (OR)—rather than in the recovery room after the procedure—may help provide better pain control, suggests ...
Jul 18, 2023
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Scientists have developed an artificial intelligence (AI) tool capable of deciphering a brain tumor's genetic code in real time, during surgery—an advance they say could speed diagnosis and personalize patients' treatment.
Jul 15, 2023
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It's estimated that around 25% of patients who have a cardiac arrest and receive cardiopulmonary resuscitation (CPR) in a normal hospital setting will survive. Those odds shoot up to 50% for patients who receive CPR during ...
Jul 3, 2023
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Machine-learning algorithms are 13% more accurate in predicting the surgical time needed in the operating room compared with human schedulers.
Jun 27, 2023
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