Large language models (LLMs) are increasingly used for mental health interactions, often mimicking therapeutic behaviour without regulatory oversight. Documented harms, including suicides, highlight the urgent need for stronger safeguards. This manuscript argues that LLMs…
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Award Recognition and Industry Leadership
TrustFinance has officially announced Techysquad as the prestigious winner of the Best Forex CRM Provider award at the TrustFinance Performance Awards 2025. This distinguished recognition underscores Techysquad’s position as one…
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MedStar Washington Hospital Center’s ERAdvisor
Though the waiting room wasn’t overly crowded when I first arrived at about 11 p.m., there was a steady stream of people flowing back and forth through the doors to…
Artificial intelligence models analyzing speech show remarkable promise for identifying cognitive decline, achieving performance comparable to clinical assessments. However, their “black box” nature poses significant barriers to clinical adoption, as healthcare professionals require transparent…
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Two recent studies in surgical AI video analysis show divergent outcomes based on user expertise and AI explainability. While both demonstrate improved accuracy with AI-assistance, differences in trust and transparency critically shaped impact. This…
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What happens when an EHR company decides to automate everything and not just documentation? At Greenway’s Engage 2025 user conference, AI was more than a feature. It became the central pillar of the company’s…
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The vision for Optum Real is to create real-time transparency between payers and providers in the moments of care that matter. Current AI technology, according to Puneet Maheshwari, SVP, GM of Optum Real is…
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The following is a guest article by Dr. Shannon Housh, EdD, MBA, MHA, LCC, at CenTrak
Real-time visibility isn’t just about knowing where things are; it’s about understanding the context around what’s happening and why…
Biased and poorly documented dermatology datasets pose risks to the development of safe and generalizable artificial intelligence (AI) tools. We created a Dataset Nutrition Label (DNL) for multiple dermatology datasets to support transparent and…
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AI is transforming healthcare, yet pediatric adoption remains limited and governance is underdeveloped. We review existing frameworks and identify pediatric-specific gaps: insufficient stakeholder engagement, developmentally appropriate consent/assent, limited bias mitigation, and unclear accountability. An…
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