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Home » Topics » Software » Algorithm

Algorithm
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Wave Guard’s algorithm-based solution aims to aid in contact tracing

May 15, 2020
By David Ho
HONG KONG – Contact tracing is seen as one of the more effective measures to contain the current COVID-19 pandemic. Now, an Israeli company may hold the solution with its app-free tech. Herzliya-based Wave Guard Technologies Inc. has an algorithm-based solution that allows government health care agencies to trace contacts of COVID-19-infected individuals accurately, effectively and in real time.
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Eko device and software in use during in-clinic screening

Eko scores EUA for algorithm to identify heart failure in COVID-19 patients

May 13, 2020
By Meg Bryant
The U.S. FDA has given the greenlight to Eko Devices Inc.’s electrocardiogram (ECG)-based algorithm to aid in detecting patients with heart failure during the COVID-19 pandemic. The artificial intelligence (AI)-powered algorithm, which provides a quick way to screen for low ejection fraction, won FDA breakthrough status in December of 2019.
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Points of measurement in 3D head scan

Australian researchers develop AI algorithm that uses 3D scans to predict sleep apnea

May 11, 2020
By Tamra Sami
ERTH, Australia – A recent study conducted at the University of Western Australia (UWA) Centre for Sleep Science shows that facial features analyzed from 3D photographs could predict the likelihood of having obstructive sleep apnea.
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1QBit-xrAI-Chest-X-ray-Abnormal.png

Health Canada accelerates approval of AI-driven COVID-19 tool

April 30, 2020
By David Godkin
TORONTO – Within a week of completing clinical trials the chest radiography AI tool developed by Vancouver, B.C.-based 1Qbit Inc. has been given the all-clear from Health Canada for deployment across the country. The XrAI was originally developed to better identify patients with respiratory illness including SARS, pneumonia and tuberculosis (TB), but then in February was tested on a publicly available data set of COVID-19 X-ray images.
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Behold.ai secures 510(k) for Red Dot image recognition algorithm

March 17, 2020
By Nuala Moran
LONDON – Behold.ai Ltd. has secured U.S. FDA 510(k) approval for use of its Red Dot image recognition algorithm in the automatic diagnosis of life-threatening pneumothorax (collapsed lung). The product completes the analysis immediately, sending an alert to the radiologist as soon as an X-ray is taken. “It does in 30 seconds what would normally take up to 30 minutes,” said Simon Rasalingham, CEO of London-based Behold.ai.
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Digital cancer cells illustration

Nantomics’ deep learning algorithm provides fast identification of cancer marker

Feb. 20, 2020
By Mark McCarty
Nantomics LLC, of Culver City, Calif., reported that research based on the company’s deep learning system has been published in a peer-reviewed journal, highlighting the algorithm’s ability to discern which mutation drives a patient’s breast cancer.
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Digital cancer cells illustration

Nantomics’ deep learning algorithm provides fast identification of cancer marker

Feb. 19, 2020
By Mark McCarty
Nantomics LLC, of Culver City, Calif., reported that research based on the company’s deep learning system has been published in a peer-reviewed journal, highlighting the algorithm’s ability to discern which mutation drives a patient’s breast cancer. The company said their approach is a rapid and cost-effective way to establish the breast cancer subtype, thus giving clinician and patient alike a good understanding of which therapies would be ineffective for that cancer and maximizing the chances for a cure.
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1-30-Orpyx-insole.png

Orpyx unveils sensory insoles to better predict dangerous diabetic foot ulcers

Jan. 31, 2020
By David Godkin
TORONTO – Calgary, Alberta-based Orpyx Medical Technologies Inc. has launched a sensory insole with remote patient monitoring to prevent potentially fatal diabetic foot ulcers (DFU) and neuropathy-related ulcers. According to Orpyx CEO Breanne Everett, development of the Orpyx SI sensory insole system follows years of study on how DFUs occur and how best to share information with patients and doctors so they can react quickly to first signs of the condition.
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Medtronic-Micra-11-12.png

Medtronic study shows potential of pacemaker to treat more patients

Nov. 12, 2019
By Liz Hollis
Dublin-based Medtronic plc is highlighting results from the MARVEL 2 study showing that an investigational set of algorithms in the Micra Transcatheter Pacing System (TPS) helps those with normal sinus node function and atrioventricular (AV) block.
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Pilot study finds AI algorithm bests surgeons in post-op triage to the ICU

Oct. 31, 2019
By Stacy Lawrence
Deciding which patients should go into the intensive care unit (ICU) after surgery is a difficult call and typically made entirely at the surgeon's discretion. The result is that surgeons typically err on the side of caution by putting more post-operative patients in the ICU than necessary. To aid in better ICU decision-making, physicians at New York University Langone Hospital System (NYU Langone) developed a machine learning algorithm that combs through a patient's electronic medical record to identify relevant factors to determine if they needed the ICU after surgery.
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