
Harvey Castro
Articles
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5 days ago |
kevinmd.com | Harvey Castro |Joshua W. Elder |Tamara Scott |George Mathew
A quiet revolution is taking place in health care technology. AI is shedding its screen-bound constraints and stepping into forms that blend seamlessly into our lives—rings, glasses, pendants, earbuds. These “ambient” devices collect real-time insights from sound, motion, and physiology, surfacing only when needed. For clinicians, this shift means more than convenience: It reimagines how we gather data at the bedside and how patients manage their health between visits.
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1 week ago |
kevinmd.com | Harvey Castro |Garrett K. Berger |Kevin Jiang |Amelia E. Mercado
The real limitation of clinical AI isn’t the model; it’s the context. AI can draft notes, flag interactions, and read scans. However, when it comes to understanding the patient in front of you, it’s still a matter of working in the dark. It doesn’t know the blood pressure you entered three minutes ago. It can’t find the beta-lactam allergy buried in yesterday’s note. It misses the serum creatinine result that just came in from the lab.
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Nov 19, 2024 |
kevinmd.com | Harvey Castro |Alexander Le |Annie Y. Yao |Victoria Shi
Disclaimer: This is a broad generalization meant to spark reflection. While no one perfectly fits into generational boxes, these insights are designed to explore how each age group navigates the evolving world of artificial intelligence (AI). Generation Z (born 1997–2012): the digital nativesHow they see AI: AI is like oxygen for Gen Z—essential, omnipresent, and often unnoticed.
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Sep 13, 2024 |
kevinmd.com | Harvey Castro |George Mathew |Steven Siegel |Ronald A. Paulus
Generative AI is revolutionizing health care, particularly large language models (LLMs) like ChatGPT, Gemini, and Claude. The potential is immense, from advanced diagnostic tools to predictive analytics and decision-support systems. However, our regulatory landscape has not kept pace. Traditional frameworks for new drugs and devices are inadequate for the unique characteristics of generative AI.
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Aug 4, 2024 |
kevinmd.com | Harvey Castro |Advait Suvarnakar |Aashka Suvarnakar |George Mathew
In the medical field, it’s easy for experienced professionals to fall into the “curse of knowledge” trap. This cognitive bias occurs when someone, having a deep understanding of a concept, assumes that others possess the same level of knowledge. While this is a natural human tendency, it can create significant communication gaps, especially in health care settings.
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