Tag: Medicine
Predicting Invasiveness of Lung Adenocarcinoma from Chest CT with Few-shot Vision-Language Ternary Classification Model
Preoperative differentiation of preinvasive lesions, minimally invasive adenocarcinomas, and invasive adenocarcinomas within pure ground-glass nodules (pGGNs) is challenging. Herein, this study investigated the potential of vision-language models to assist radiologists in noninvasively predicting pGGN…
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Freeze-Drying the Future: 43 Years of Innovation at OFD – Life Sciences Today Podcast Episode 40
We're excited to be back for another episode of the Life Sciences Today Podcast by Healthcare IT Today. My guest today is Walt Pebley, Chief Scientific Officer at OFD Life Sciences. With over four…
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An Automated Classifier of Harmful Brain Activities for Clinical Usage Based on a Vision-Inspired Pre-trained Framework
Timely identification of harmful brain activities via electroencephalography (EEG) is critical for brain disease diagnosis and treatment, which remains limited in application due to inter-rater variability, resource constraints, and poor generalizability of existing artificial…
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Application of artificial intelligence to measure and predict patient values and preferences: a scoping review
Patients’ voices are often difficult to capture directly in healthcare decisions. This scoping review examines how artificial intelligence (AI) has been applied to measure and predict patient values and preferences, aiming to evaluate its…
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Machine learning-based predictions of healthcare contacts following emergency hospitalisation using electronic health records
Emergency care systems are challenged by the emergence of an ageing population, requiring tailored inputs facilitated by early care needs assessment. We examined the potential of Machine Learning algorithms to identify in-hospital healthcare contacts…
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A Representation Fusion Framework for Decoupling Diagnostic Information in Multimodal Learning
Modern medicine increasingly relies on multimodal data, ranging from clinical notes to imaging and genomics, to guide diagnosis and treatment. However, integrating these heterogeneous data sources in a principled and interpretable manner remains a…
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Integrating Prescription Intelligence and CMEs Into the Prescribing Workflow
Healthcare IT leaders are finding innovative ways to address one of medicine’s challenges: the exponential growth of clinical knowledge that physicians must navigate daily. In our recent interview, we hear from Julia Vu, Pharm.D.,…
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Exploiting large language models for diagnosing autism associated language disorders and identifying distinct features
Diagnosing language disorders associated with autism is a complex challenge, often hampered by the subjective nature and variability of traditional assessment methods. In this study, we explored large language models (LLMs) to overcome the…
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Auxira Health Raises $7.8M to Solve the Cardiology Shortage with Virtual Clinical Pods
What You Should Know:
– Auxira Health, a virtual cardiology company co-developed by MedStar Health, has secured $7.8M in seed funding to address the growing cardiologist shortage and clinician burnout crisis.
– Unlike standard telehealth platforms,…
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