Clinical trainees face limited opportunities to practice medical history-taking skills due to scarce case diversity and access to real patients. To address this, we developed a large language model-based digital patient (LLMDP) system that…
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For patients with locally advanced cervical cancer (LACC), precise survival prediction models could guide personalized treatment. We developed and validated CerviPro, a deep learning-based multimodal prognostic model, to predict disease-free survival (DFS) in 1018…
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What You Should Know:
– Capsa Healthcare, a leader in healthcare workflow and supply management solutions, today announced its acquisition of BlueBin, a recognized innovator in Kanban-based supply chain systems and predictive analytics for healthcare.
–…
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What You Should Know:
– Evident, a leader in clinical microscopy and superior optics, today announced a definitive agreement to acquire Pramana, Inc., a manufacturer of digital pathology solutions. Financial details of the acquisition were not…
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Biobanks are a rich source of data for genome-wide association studies (GWAS). They store clinical data from electronic health records, with data domains such as laboratory measurements, conditions, and self-reported diagnoses. Traditionally, biobank GWAS…
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What You Should Know:
– LucyRx, a next-generation pharmacy benefit manager (PBM), announced it has acquired CerpassRx, a leading PBM known for its customized pharmacy solutions and clinical programs.
– The acquisition, which closed on July…
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Becky Trotter, Vice President, Population Health Solutions at CareAllies
Aliya Ali, MD, Regional Medical Director at CareAllies
The daily huddle, also called a morning huddle, is a brief standup meeting commonly associated with inpatient and surgical care….
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Radiology reporting is a time-intensive process, and artificial intelligence (AI) shows potential for textual processing in radiology reporting. In this study, we proposed a keyword-based AI-assisted radiology reporting paradigm and evaluated its potential for…
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Depressive symptoms pose a serious global threat to well-being, highlighting the need for scalable mental health interventions. E-mental health interventions offer promising population-level solutions, yet few are grounded in theory or tested on large…
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Diagnosing vestibular disorders remains challenging due to complex symptoms and extensive history-taking required. While machine learning approaches have shown promise in medical diagnostics, their application to vestibular disorder classification has been limited. We developed…
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