The collaboration involves the use of AI and Assuta’s new Salesforce integration to improve patient orientation in the healthcare system and guide patients on the most personalized journey to better health.
After analyzing 3M radiology reports, we found that the actual number of unfulfilled imaging follow-up recommendations is much higher than existing medical literature states.
Agamon CEO Michal Meiri covers why data is still being under-utilised in healthcare and how AI applications like NLP can unleash the value of healthcare data to improve operational workflow and ultimately save lives.
The collaboration involves the use of AI and Assuta's new Salesforce integration to personalize a patient's journey through a hospital.
The health-tech startup's care coordination platform makes it easy for health care providers to reach out to eligible patients and bring them in for early detection scans.
Boosting bookings for follow-up exams while reducing admin workload at Main Street Radiology by automating the follow-up process end-to-end.
Rooted in the capability to automatically identify and extract information from the medical record, applications based on natural language processing and understanding (NLP/U) are becoming abundant throughout the imaging enterprise.
DETROIT - Studies show that more than 50 percent of patients don’t follow up on care needed following a CT, MRI, X-Ray or other radiology study.
Oracle today announced the five startups for the company’s second six-month Oracle Startup Cloud Accelerator program in Tel Aviv.
An Israel-based startup that uses artificial intelligence to declutter radiology reports just raised $3 million in new funding, leaders announced Monday.
Israeli health tech startup Agamon has raised $3 million in funding to help hospitals improve its processes by transforming clinical text into structured data.
Changing the experience of health: that's the focus of the six startups which the Bayer G4A team has included in the Accelerator program this year.
Timor Marom, Head of Product at Agamon, shares three ways startup software vendors can help ensure smoother, faster integration, and maximum return on your investment.
Medical imaging services provider Main Street Radiology is building stronger relationships with referring physicians and seeing more patients return for vital follow-up exams with the help of Agamon’s deep learning & NLP technology.
In Part 1, Prof. Berland covered why Incidental Findings are an ongoing issue in radiology and what solutions have been put forward to fix the problem. Part 2 focues on arguably the most effective solution and where technology can assist.
Agamon presents this two-part article by Prof. Lincoln Berland, Founder of the ACR Incidental Findings Committee. Part 1 covers why IFs are an ongoing issue in radiology and what solutions have been put forward.
Here’s how the Agamon Coordinate platform enabled a leading healthcare provider to communicate and track recommended radiology follow-ups automatically, and lead to 28.6% more follow-up recommendations than the internally-developed, manual system.
Deploying Agamon Coordinate to help Henry Ford Health System streamline and scale radiology follow-up coordination.
Agamon CTO Omri Sivan explains how the Agamon Coordinate care coordination platform allows radiology providers to automate and streamline communication about follow-up exams.
Leaders in radiology workflow and patient care discuss how artificial intelligence can be used to strengthen communication and collaboration between radiologists, referring physicians and patients.
