Users need to understand how AI is working. #digitalhealth
When users understand how AI is working and the risk is low, it's gonna be a much easier, faster path to adoption. #healthcareAI #healthtech…
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Tag: risk
Keebler Health Raises $6M to Transform Risk Adjustment with AI-Powered Platform
What You Should Know:
– Keebler Health, a provider of AI-native risk adjustment solutions for healthcare providers, today announced a $6 million seed funding round led by Freestyle Capital with participation from MBX Capital, New…
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Identification of digital twins to guide interpretable AI for diagnosis and prognosis in heart failure
Heart failure (HF) is a highly heterogeneous condition, and current methods struggle to synthesize extensive clinical data for personalized care. Using data from 343 HF patients, we developed mechanistic computational models of the cardiovascular…
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Exclusive: Keebler Health secures $6M for product development
AI-enabled risk adjustment platform Keebler Health has raised $6 million in seed funding.Freestyle Capital, MBX Capital, New Stack Ventures, Underdog Labs, Everywhere VC, Ludlow Ventures, Primordial, the Tweener Fund, the Hustle Fund, Deb Liu…
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Birmingham Community Healthcare pilots electronic prescribing
Birmingham Community Healthcare NHS Foundation Trust is piloting the CLEO SOLO electronic prescribing solution (EPS) in its children’s services.
The two-year pilot is planned to launch in March 2025 in community paediatrics and the ADHD…
Dynamic mortality prediction in critically Ill children during interhospital transports to PICUs using explainable AI
Critically ill children who require inter-hospital transfers to paediatric intensive care units are sicker than other admissions and have higher mortality rates. Current transport practice primarily relies on early clinical assessments within the initial…
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Identifying major depressive disorder in older adults through naturalistic driving behaviors and machine learning
Depression in older adults is often underdiagnosed and has been linked to adverse outcomes, including motor vehicle crashes. With a growing population of older drivers in the United States, innovations in screening methods are…
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Self supervised artificial intelligence predicts poor outcome from primary cutaneous squamous cell carcinoma at diagnosis
Primary cutaneous squamous cell carcinoma (cSCC) is responsible for ~10,000 deaths annually in the United States. Stratification of risk of poor outcome at initial biopsy would significantly impact clinical decision-making during the initial post…
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Connecting data to population health can improve outcomes at the state level
When the Missouri Department of Health and Senior Services asked, ‘What’s the digital capacity capabilities of a state public health system?’ they embarked on a data modernization and landscape assessment, said Anne Snowdon, HIMSS…
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‘AI can’t just be overlaid on a failing health service’
Hetan Shah, chief executive of The British Academy (Image provided by The Health Foundation)
Hetan Shah, chief executive of The British Academy, said that the NHS and UK government “can’t just overlay tech on…
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