This perspective proposes adapting video-text generative AI to 3D medical imaging (CT/MRI) and medical videos (endoscopy/laparoscopy) by treating 3D images as videos. The approach leverages modern video models to analyze multiple sequences simultaneously and…
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Verily, Alphabet’s health data and AI subsidiary, has been awarded a $14.7 million research grant from the Michael J. Fox Foundation (MJFF) for Parkinson’s research to generate a detailed molecular dataset of Parkinson’s disease.The…
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AI cancer detection models require calibration to attain the desired balance between cancer detection rate (CDR) and false positive rate. In this study, we simulate the impact of six types of mismatches between the…
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Critical findings in radiology reports are life threatening conditions that need to be communicated promptly to physicians for timely management of patients. Although challenging, advancements in natural language processing (NLP), particularly large language models…
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Small language models (SLM) offer promise for medical applications by addressing the privacy and hardware constraints of large language models; however, their limited parameters (often fewer than ten billion) hinder multi-step reasoning for complex…
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What You Should Know:
– Immunai, a leading AI biotech company specializing in mapping the human immune system and the Parker Institute for Cancer Immunotherapy (PICI), a collaborative consortium of the world’s leading immuno-oncology experts,…
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Study Reveals Critical Diversity Gaps
A concerning study published in the European Journal of Cancer highlights significant diversity problems in AI mammogram interpretation datasets. Researchers discovered that racial, ethnic, and geographic representation is severely lacking,…
According to a study published in the European Journal of Cancer, the fairness and equity of datasets for AI-driven mammogram interpretation might be jeopardized by the underrepresentation of racial and ethnic diversity.While AI shows…
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The novel coronavirus (COVID-19) pandemic has had a devastating global impact, profoundly affecting daily life, healthcare systems, and public health infrastructure. Despite the availability of treatments and vaccines, hospitalizations and deaths continue. Real-time surveillance…
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Transthoracic echocardiography (TTE), commonly used for initial screening of pulmonary hypertension (PH), often lacks sufficient accuracy. To address this gap, we developed and validated a multimodal fusion model for improved PH screening (MMF-PH). The…
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