To our best knowledge, this is the first machine learning-based study for automated detection of COVID-19 based on skin images and may provide a useful decision support tool for physicians to optimize contact-free COVID-19 triage, differential diagnosis of skin lesions and patient care. Mathur J, Chouhan...
Source: nih.gov
Using Machine Learning to Detect Deficient Coverage in Colonoscopy Screenings: Posted by Daniel Freedman and Ehud Rivlin, Research Scientists, Google Health "In “Detecting Deficient Coverage in Colonoscopies”, we introduce the Colonoscopy Coverage Deficiency via Depth algorithm, or C2D2, a machine...
Source: googleblog.com
Deep learning-based, computer-aided classifier developed with dermoscopic images shows comparable performance to 164 dermatologists in cutaneous disease diagnosis in the Chinese population - PubMed: The performance of CNN developed with relatively modest number of dermoscopic images of skin tumors and...
Source: nih.gov
Could deep learning AI be used to screen TIA clinic referral letters? Possibly. Stroke prevention clinics (TIA or Transient Ischaemic Attack) clinics are an important aspect of urgent care. A TIA is a risk factor for future stroke. Medical treatment needs to be started quickly and surgical options, if...
Source: agnate.co.uk
Reducing patient mortality, length of stay and readmissions through machine learning-based sepsis prediction in the emergency department, intensive care unit and hospital floor units. Sepsis management is a challenge for hospitals nationwide, as severe sepsis carries high mortality rates and costs...
Source: bmj.com