What You Should Know: PicnicHealth, a patient-centered health technology company, today announced its entry into the real-world data market for oncology.Drawing from its success working with chronic disease patients to create robust datasets, the company…
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Health technology company PicnicHealth announced it is moving into the oncology space and teaming up with AstraZeneca to build a registry to generate real-world data on breast cancer. The company says it will work with…
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Coronary angiography is the primary procedure for diagnosis and management decisions in coronary artery disease (CAD), but ad-hoc visual assessment of angiograms has high variability. Here we report a fully automated approach to interpret…
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This news summary of digital apps includes Cinapsis helping GPs with skin cancer referrals, the Apex Analytics automated toolset helping to track Strep A outbreaks and Heyr partnering with Imperial College to research tools…
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Phreesia, a leader in patient intake, outreach, and activation, is pleased to announce it has acquired Comsort, Inc. d/b/a MediFind (MediFind), a health technology company that uses advanced analytics to help patients—especially those with…
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The success of foundation models such as ChatGPT and AlphaFold has spurred significant interest in building similar models for electronic medical records (EMRs) to improve patient care and hospital operations. However, recent hype has…
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By Mark Melchionna
July 28, 2023 – To increase diagnostic accuracy and advance the customizability of treatment for various conditions, Children’s Hospital Colorado (Children’s Colorado) launched the Precision Medicine Institute.
Precision medicine focuses on providing treatment in…
Researchers from the faculties of Engineering and IT at Monash University have come up with an AI algorithm that can judge another AI algorithm’s annotation or label in a medical scan, mimicking the process…
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Clinical phenotyping is often a foundational requirement for obtaining datasets necessary for the development of digital health applications. Traditionally done via manual abstraction, this task is often a bottleneck in development due to time…
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Non-accidental trauma (NAT) is deadly and difficult to predict. Transformer models pretrained on large datasets have recently produced state of the art performance on diverse prediction tasks, but the optimal pretraining strategies for diagnostic…
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