An artificial intelligence algorithm developed at Sheba Medical Center in Israel can identify patients at high risk of pulmonary embolism as soon as they walk through the hospital doors, a study published in the Journal of Medical Internet Research found. Using only information available from the patient’s medical history, the machine learning tool flagged high-risk patients before the initial clinical checkup occurred.

The U.S. FDA’s draft guidance for in vitro diagnostics under a Section 564 public health declaration broke little new conceptual ground, but the Association for Molecular Pathology (AMP) urged the agency to reconsider the COVID-19 experience.

In what represents the first patenting to emerge in the assignee’s name, additional protection is being sought for Rapidpulse Inc.’s aspiration system, which delivers high-frequency pulsed vacuum forces to increase the efficiency of aspiration thrombectomy and remove thrombus from the neurovasculature.