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Helping Doctors Manage COVID-19

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Research
02 June 2021
Artificial intelligence (AI) technology developed by researchers at the University of Waterloo is capable of assessing the severity of COVID-19 cases with a promising degree of accuracy.

A study, which is part of the COVID-Net open-source initiative launched more than a year ago, involved researchers from Waterloo and spin-off start-up company DarwinAI, as well as radiologists at the Stony Brook School of Medicine and the Montefiore Medical Center in New York.

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Online Survey Successful in Gathering COVID-19 Data at Scale

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Research
28 May 2021
A pilot project using an online survey to gather data on COVID-19 symptoms received more than 87,000 responses from around the world, providing important insight into the spread of disease. Project leaders from Regenstrief Institute, Indiana University and Microsoft believe these questionnaires could be a valuable tool for population health.
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UCSF Improves Fetal Heart Defect Detection Using Machine Learning

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Research
26 May 2021
UC San Francisco researchers have found a way to double doctors' accuracy in detecting the vast majority of complex fetal heart defects in utero - when interventions could either correct them or greatly improve a child's chance of survival - by combining routine ultrasound imaging with machine-learning computer tools.
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New AI Technology Protects Privacy

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Research
25 May 2021
Digital medicine is opening up entirely new possibilities. For example, it can detect tumors at an early stage. But the effectiveness of new AI algorithms depends on the quantity and quality of the data used to train them.

To maximize the data pool, it is customary to share patient data between clinics by sending copies of databases to the clinics where the algorithm is being trained.

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Grand Challenge Research Harnesses AI to Fight Breast Cancer

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Research
24 May 2021
Breast cancer has recently overtaken lung cancer to become the most common cancer globally, according to the World Health Organization. Advancing the fight against breast cancer, the BreastPathQ Challenge was launched at SPIE Medical Imaging 2019 to support the development of computer-aided diagnosis for assessing breast cancer pathology.
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AI Predicts Lung Cancer Risk

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Research
18 May 2021
An artificial intelligence (AI) program accurately predicts the risk that lung nodules detected on screening CT will become cancerous, according to a study published in the journal Radiology.

Lung cancer is the leading cause of cancer death worldwide, with an estimated 1.8 million deaths in 2020, according to the World Health Organization.

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AI Analytics Predict COVID-19 Patients' Daily Trajectory in UK Intensive Care Units

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Research
11 May 2021
The investigators used machine learning to predict which patients might get worse and not respond positively to being turned onto their front in intensive care units (ICUs) - a technique known as proning that is commonly used in this setting to improve oxygenation of the lungs.

While the AI model was used on a retrospective cohort of patient data collected during the pandemic's first wave, the study demonstrates the ability of AI methods to predict patient outcomes using routine clinical information used by ICU medics.

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More eHealth News ...

  1. Researchers Develop Better Way to Determine Safe Drug Doses for Children
  2. Fertility Apps with Hundreds of Millions of Users Collect and Share Excessive Information
  3. Speeding New Treatments
  4. Artificial Intelligence Model Predicts which Key of the Immune System Opens the Locks of Coronavirus
  5. New AI Tool Tracks Evolution of COVID-19 Conspiracy Theories on Social Media
  6. People may Trust Computers more than Humans
  7. AI-Powered Symptom Checkers can Help Healthcare Systems Deal with the COVID-19 Burden
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