What You Should Know:
– NeuroFlow, a behavioral health technology and analytics company, has acquired Intermountain Health’s proprietary behavioral health analytics model. Financial details of the acquisition were not disclosed.
– The strategic acquisition significantly enhances…
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Essential DoD GenAI Testing Breakthrough Revealed
Revolutionary Testing Program Overview
The U.S. Department of Defense’s Chief Digital and Artificial Intelligence Office, in collaboration with Humane Intelligence, has successfully concluded their Crowdsourced Artificial Intelligence Red-Teaming Assurance Program…
Bret Connor, CEO at Model N
What You Should Know:
– Model N, a leading provider of revenue optimization and compliance solutions for life sciences and high-tech companies, announced the appointment of Bret Connor as Chief…
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Laparoscopic exploration (LE) is crucial for diagnosing intra-abdominal metastasis (IAM) in advanced gastric cancer (GC). However, overlooking single, tiny, and occult IAM lesions during LE can severely affect the treatment and prognosis due to…
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Label noise is a common and important issue that would affect the model’s performance in artificial intelligence. This study assessed the effectiveness and potential risks of automated label cleaning using an open-source framework, Cleanlab,…
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Adaptive deep brain stimulation (DBS) provides individualized therapy for people with Parkinson’s disease (PWP) by adjusting the stimulation in real-time using neural signals that reflect their motor state. Current algorithms, however, utilize condensed and…
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The U.S. Department of Defense’s Chief Digital and Artificial Intelligence Office and Humane Intelligence, a technology nonprofit, has announced the conclusion of the agency’s Crowdsourced Artificial Intelligence Red-Teaming Assurance Program pilot, which is focused…
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Generating realistic synthetic health data (e.g., electronic health records), holds promise for fundamental research, AI model development, and enhancing data privacy safeguards. Generative Adversarial Networks (GANs) have been employed for this purpose, but their…
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Deep learning analysis of electrocardiography (ECG) may predict cardiovascular outcomes. We present a novel multi-task deep learning model, the ECG-MACE, which predicts the one-year first-ever major adverse cardiovascular events (MACE) using 2,821,889 standard 12-lead…
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In emergency situations, timely contact with emergency medical communication centers (EMCCs) is critical for patient outcomes. Increasing call volumes and economic constraints are challenging many countries, necessitating organizational changes in EMCCs. This study uses…
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