Patients with rare diseases often experience prolonged diagnostic delays. Ordering appropriate genetic tests is crucial yet challenging, especially for general pediatricians without genetic expertise. Recent American College of Medical Genetics (ACMG) guidelines embrace early…
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Artificial intelligence (AI)-enabled decision aids can contribute to the shared decision-making process between patients and clinicians through personalised recommendations. This systematic review aims to understand users’ perceptions on using AI-enabled decision aids to inform…
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A fundamental goal of evaluating the performance of a clinical model is to ensure it performs well across a diverse intended patient population. A primary challenge is that the data used in model development…
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Patient-centred instructions on discharge can improve adherence and outcomes. Using GPT-3.5 to generate patient-centred discharge instructions, we evaluated responses for safety, accuracy and language simplification. When tested on 100 discharge summaries from MIMIC-IV, potentially…
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What You Should Know:
– Today, the Digital Medicine Society (DiMe) unveiled a suite of resources to guide industry in evaluating international regulatory pathways. These resources equip digital health technology developers with essential tools to compare…
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The London Clinic and Northwestern Medicine are teaming up for a strategic international collaboration that seeks to expand both organizations’ commitments to advancing healthcare delivery and improving patient outcomes.WHY IT MATTERS
The London Clinic is…
What You Should Know:
– Canvas Medical, the EMR company accelerating everyday medicine, today announced the launch of Anova™, a breakthrough electronic medical record (EMR) system specifically designed for the rapidly growing field of longevity medicine.
– Built…
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Online cognitive tasks are gaining traction as scalable and cost-effective alternatives to traditional supervised assessments. However, variability in peoples’ home devices, visual and motor abilities, and speed-accuracy biases confound the specificity with which online…
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We developed an interpretable model, BOUND (Bayesian netwOrk for large-scale lUng caNcer Digital prescreening), using a comprehensive EHR dataset from the China to improve lung cancer detection rates. BOUND employs Bayesian network uncertainty inference,…
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Delirium can result in undesirable outcomes including increased length of stays and mortality in patients admitted to the intensive care unit (ICU). Dexmedetomidine has emerged for delirium prevention in these patients; however, optimal dosing…
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