radiology
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Telemedicine, Artificial Intelligence, Health Tech
AI that flags urgent cases for radiologists gets FDA clearance
Nines received 510(k) clearance for a system that monitors CT scans for likely cases intracranial hemorrhage and mass effect, two conditions associated with strokes. The system prioritizes these cases for review from radiologists, letting patients receive a diagnosis faster.
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Hospitals, Artificial Intelligence
In the midst of Covid-19 crisis, NY health system seeks to deploy an untested AI algorithm
Catholic Health Services of Long Island is aiming to deploy an AI algorithm next week to help ER doctors determine whether a patient presenting Covid-19-like symptoms should be admitted to the ER or sent home.
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Payer’s Place: Dawn Maroney
Dawn Maroney, President, Markets of Alignment Health and CEO of Alignment Health Plan, to discuss how they are using technology to provide better service and care to consumers.
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Artificial Intelligence, Diagnostics, Health Tech
Google’s AI beats humans at detecting breast cancer — sometimes
A retrospective study published in Nature shows Google’s DeepMind AI outperformed radiologists in detecting breast cancer. But it won’t be replacing them anytime soon.
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Top Story, Health IT, Startups, Telemedicine
Teleradiology startup comes out of stealth mode, announces $16.5M funding round
Nines, a teleradiology company using machine learning to triage important cases, raised a $16.5 million funding round led by Accel and 8VC.
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Artificial Intelligence, Diagnostics
Rad AI, developer of workflow automation tool for radiology, raises $4M in seed round
Most AI-powered startups in radiology tackle an image problem, but Rad AI have been focused on a workflow problem by automatically generating the impressions section of a radiologist’s report, which is a summary of the report’s other sections.
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MedCity Influencers, Artificial Intelligence
Lies, damned lies and AI statistics
At a time when artificial intelligence is gaining ground in healthcare, especially in radiology, it is important to understand the varied metrics being used to evaluate the technology.
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Startups, Artificial Intelligence
Aidoc gets third FDA nod for AI-based cervical spine fracture algorithm
The regulatory decision comes just a few weeks after the FDA cleared the company’s pulmonary embolism product.
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Startups, Artificial Intelligence
Aidoc gets FDA nod for AI pulmonary embolism screening tool
The FDA decision, which builds on a prior approval of the company’s algorithm for the detection of intracranial hemorrhages through CT scans, is part of a larger vision sketched out by CEO Elad Walach of plugging new algorithms into the Aidoc system to create a new standard of care in radiology.
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Hospitals, Startups, Artificial Intelligence
AI-based medical imaging startup Aidoc raises a $27 million Series B
Aidoc pitches its product as a way to more quickly scan and detect potential issues in medical images.
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Applying Remote Patient Monitoring to Surgery Prep and Recovery, Oncology and Women’s Health
Join us to learn about the latest trends in remote monitoring and how to extend its benefits beyond chronic conditions to more patients – all while using fewer staff resources.
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Devices & Diagnostics, Artificial Intelligence
How Nvidia is trying to overcome the barriers for AI in healthcare
Updates to the company’s Clara healthcare platform are trying to make it easier for clinicians to train and adapt deep learning algorithms, while also making the implementation process smoother.
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Covera Health raises $8.5M for analytics-based programs to reduce misdiagnoses
The New York City-based company is currently focused on bringing its approach to the radiology field.
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How do you make doctors trust machines in an AI-driven clinical world?
During a panel at the MedCity INVEST Twin Cities conference leaders from the payer, provider and investor spaces spoke about how to actually drive adoption of AI tools in the clinical system.
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How a patient-centered approach to imaging improves clinical workflow and staff satisfaction
Rethinking radiology design and imaging centers with a patient-first approach can lead to meaningful strides in accomplishing the overall goals in value-based care.