The generalizability of predictive algorithms is of key relevance to application in clinical practice. We provide an overview of three types of generalizability, based on existing literature: temporal, geographical, and domain generalizability. These generalizability…
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Mayo Clinic on Friday announced that its Mayo Clinic Platform_Connect distributed data network will expand internationally with a trio of new health system partners.WHY IT MATTERSWith new collaborations with Brazil’s Hospital Israelita Albert Einstein,…
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KLAS, a healthcare IT research company, has released a white paper comparing EHR education service offerings and software features. The report offers a framework for the comparison and validation of vendors’ program development, content…
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Standard clinical interpretation of myocardial perfusion imaging (MPI) has proven prognostic value for predicting major adverse cardiovascular events (MACE). However, personalizing predictions to a specific event type and time interval is more challenging. We…
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Funding Will Grow Medication Adherence Services for Medicaid and Other Under-Resourced Populations
Scene Health, the leading medication engagement company, has closed an oversubscribed $17.7 million Series B growth financing led by ABS Capital Partners with participation from existing investors Claritas Health Ventures,…
This article examines the feasibility of determining goal-concordant care (GCC) using the electronic health record (EHR) in a retrospective chart review. The study discovered that, although the data was dispersed among the multidisciplinary notes,…
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Inattention can negatively impact several aspects of a child’s life, including at home and school. Cognitive and physical interventions are two promising non-pharmaceutical approaches used to enhance attention abilities, with combined approaches often being…
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Anticipation of clinical decompensation is essential for effective emergency and critical care. In this study, we develop a multimodal machine learning approach to predict the onset of new vital sign abnormalities (tachycardia, hypotension, hypoxia)…
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Predicting recurrence in low-grade, early-stage endometrial cancer (EC) is both challenging and clinically relevant. We present a weakly-supervised deep learning framework, NaroNet, that can learn, without manual expert annotation, the complex tumor-immune interrelations at…
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CCG-led round will be used to drive rapid adoption of new digital platform that eliminates inaccuracy and bias in identification of people suffering from mental health disorders
Artificial intelligence (AI)-powered mental health screening pioneer Aiberry…
