What You Should Know:– Implicity, a leader in remote patient monitoring (RPM) and cardiac data management solutions, released a new SMART on FHIR application to improve interoperability and workflow efficiencies for providers.– The new…
Continue Reading
By Shania Kennedy
March 03, 2023 – Researchers at the University of Houston have received a $933,812 grant from the National Cancer Institute (NCI) to develop a computational framework to support collaboration between radiology…
Deep learning traditionally involves funneling huge data sets into layers of software to produce actionable insights. But when strict privacy requirements control what can appear in the output, machine learning methods have to change.
I…
What You Should Know:– Aledade today announced the acquisition of Curia, a leader in value-based care analytics using practical applications of artificial intelligence (AI) to optimize the targeting of patient care and engagement programs….
Continue Reading
The National Institute of Standards and Technology says it will publish the Ascon group of algorithms in its lightweight cryptography standard later this year.WHY IT MATTERS
NIST has found “a worthy defender” of data generated by small Internet of Things-connected devices as the result of a four-year international competition, according to the…
A healthcare risk prediction algorithm used on more than 200 million people across the country was found to demonstrate racial bias.One-third of the top 100 hospitals in the U.S. were found to be using a tracking tool called Meta Pixel to collect and send patients’ personal health information to Facebook without their consent.
Pulse oximeters – digital products that use infrared light beams to measure the amount of oxygen in the blood – have transformed the way we care for people with conditions from heart failure to COVID, but are inaccurate for people with dark skin.
How do these egregious practices pass through…
By John Halamka and Paul Cerrato — The National Institute of Standards and Technology recently published a framework that will help health care providers assess AI trustworthiness, explainability, and bias.
The post NIST Provides Much-Needed AI Guardrails appeared first on Mayo Clinic Platform….
Technological innovation is the key to improving human living standards.
This is especially true in healthcare, which is why research is constantly being done to discover ways that up-and-coming technology can be implemented.
In this article, we’ll explore four technologies that are shaping the future of healthcare.
Artificial intelligence
Machine learning is being increasingly applied across a wide variety of industries, including healthcare. With the ability to quickly and accurately extract patterns from data using algorithms, artificial intelligence is able to sift through information more efficiently than healthcare professionals.
Moreover, artificial intelligence programs can process symptoms and patient information to suggest possible diagnoses. A…
New feature alert! 🔔 We are excited to announce that a Patient Risk Profile functionality is now available in the #Malaffi Provider Portal, enabling #AbuDhabidoctors to assess the future #risk of patients developing certain illnesses. Based on past and current medical records, by utilising advanced AI and machine learning algorithms to build #predictivemodels, the functionality predicts the likelihood of certain chronic conditions such as diabetes or acute events such as stroke, giving physicians the upper hand in providing #preventive treatments over cures.#HIE #MalaffiHealthPortal #HealthInformationExchange #InAbuDhabi…
Continue Reading
By John Halamka and Paul Cerrato -Three patient populations are underrepresented in the AI models currently being developed. There are several practical solutions to the problem.
The post The Algorithmically Underserved Need Our Attention appeared first on Mayo Clinic Platform….
