Background: Artificial intelligence (AI) has already revolutionized the analysis of image, text, and tabular data, bringing significant advances across many medical sectors. Now, by combining with wearable inertial measurement units (IMUs), AI could transform…
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What You Should Know:
– Mercy Health System, a healthcare provider, is transforming its imaging services with the help of Aidoc’s aiOS™ platform.
– The AI-powered solution provides an additional layer of review for diagnostic imaging,…
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Weak cybersecurity can damage a healthcare organization’s reputation, especially if it results in a high-profile attack that compromises the personal data of staff and patients or steals other sensitive or legally protected information. Many…
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Breaking Changes for VA Healthcare Providers
The Drug Enforcement Administration (DEA) has announced a significant policy shift for Veterans Affairs providers, extending existing in-person provider-patient relationships to include telemedicine services. This change eliminates the requirement…
There is increasing use of digital tools to monitor people with psychosis and schizophrenia remotely, but using this type of data is challenging. This systematic review aimed to summarise how studies processed and analysed…
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The use of synthetic data is a promising solution to facilitate the sharing and reuse of health-related data beyond its initial collection while addressing privacy concerns. However, there is still no consensus on a…
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Early screening and evaluation of infant motor development are crucial for detecting motor deficits and enabling timely interventions. Traditional clinical assessments are often subjective, without fully capturing infants’ “real-world” behavior. This has sparked interest…
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Top News
VA secretary nominee Doug Collins tells the Senate Veterans’ Affairs Committee that he will review the VA’s Oracle Health implementation with a fresh perspective and is optimistic about its completion.
Collins expressed confidence that…
While drug combinations are increasingly important in disease treatment, predicting their therapeutic interactions remains challenging. This review systematically analyzes computational methods for predicting drug combination effects through multi-omics data integration. We comprehensively assess key…
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While machine learning (ML)-based solutions—often referred to as artificial intelligence (AI) solutions—have demonstrated comparable or superior performance to human experts across various healthcare applications, their vulnerability to perturbations and stability to variations due to…
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