Harvey Castro, MD, MBA

Artificial intelligence is rapidly evolving, poised to reshape research, health care delivery, and medical decision-making. A new interactive slideshow delves into this shift, highlighting self-improving AI systems like the Darwin Gödel Machine and autonomous AI development.

Here are the key takeaways and their implications for medicine and beyond.

The age of self-improving AI has arrived.

Until recently, AI systems relied heavily on human engineers to design and tune their capabilities. That’s changing. The …

Read more…

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 …

Read more…

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 …

Read more…

Medicine demands fast decisions.

Chest pain in triage. A vague complaint from an elderly patient. A scan with subtle shadows.

But the speed that saves lives can also lead to predictable, systematic errors, especially when we trust our gut too much.

Psychologist Daniel Kahneman taught us that we do not have one mind. We have two.

System 1 is fast, intuitive, and automatic. It makes snap …

Read more…

Artificial intelligence (AI) agents significantly transform health care by automating routine tasks, enhancing clinical decision-making, and reducing administrative burdens. These intelligent systems are increasingly applied in medical documentation, diagnostics, and patient engagement, offering substantial potential for improved patient outcomes and reduced physician burnout.

However, substantial challenges in establishing trust, regulation, and evidence-based validation remain critical to achieving widespread adoption. AI in health care has received considerable attention, but clinical

…

Read more…

Artificial intelligence (AI) advances are ushering in a new era of health care innovation, and small language models (SLMs) deployed on edge devices are leading the charge. Unlike large-scale AI systems, SLMs are lightweight, efficient, and capable of operating on localized devices such as smartphones, wearables, and IoT sensors. By combining the power of edge computing with the adaptability of SLMs, health care professionals can benefit from real-time, cost-effective solutions …

Read more…

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 natives

How they see AI: AI is like oxygen for Gen Z—essential, omnipresent, and often unnoticed. Growing up with smartphones, streaming algorithms, and social media platforms like TikTok and Instagram, …

Read more…

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.

This article outlines a comprehensive framework to effectively regulate generative AI in health care, striking a crucial …

Read more…

Apple’s new accessibility features—eye tracking, music haptics, and vocal shortcuts—mark a major technological leap to enhance life quality for individuals with disabilities. These innovations promise to revolutionize health care by boosting patient autonomy, care quality, and inclusive design. Here’s a comprehensive look at their transformative potential.

Eye tracking on iPad and iPhone for enhanced patient communication

Eye-tracking technology is a groundbreaking development for individuals with physical disabilities, enabling users to control their …

Read more…

Apple’s recent patent application for a biosensing device integrated into their earbuds opens up numerous possibilities for health care. This innovative technology aims to measure various biological signals from users, including EEG, EMG, EOG, ECG, GSR, and BVP. Here’s how each of these technologies can be harnessed to improve health care:

1. Electroencephalography (EEG). Recording brain waves, EEG sensors in earbuds can monitor brain activity in real time. This capability can …

Read more…

Introducing OpenAI’s GPT-4o marks the start of a transformative journey in health care. Ensuring AI advancements are secure and fair, adhering to HIPAA-compliant servers, and eliminating dataset bias, GPT-4o promises future innovations in health care:

1. Advanced predictive analytics. In the future, GPT-4o could analyze vast datasets from patient histories and global health trends to predict outbreaks, potential complications, and individual patient risks with high accuracy. When combined with HIPAA-secured servers, …

Read more…

AlphaFold Three is a monumental leap forward in biomedical research and drug discovery, signaling a new era where artificial intelligence (AI) merges seamlessly with molecular biology to unlock mysteries that have long eluded scientists. Developed by Google DeepMind and Isomorphic Labs, AlphaFold 3 is not just an upgrade to its predecessors; it’s a transformative tool that extends the boundaries of what we can understand and achieve in medicine.

AlphaFold 3 builds …

Read more…

Integrating artificial intelligence (AI) into health care transforms patient care, making it more personalized, efficient, and accessible. Two groundbreaking technologies, the Humane Ai Pin and the Rabbit R1, exemplify this shift. By enhancing communication, ensuring data security, and improving administrative and clinical operations, these devices promise a future where technology and human expertise merge to foster a patient-centered health care system. Here’s an in-depth look at how these innovations are …

Read more…

Apple’s announcement of OpenELM, an innovative suite of efficient, open-source language models, heralds a potential game-changer for health care technology, especially with the anticipated enhancements in iOS 18. This suite is designed to function directly on personal devices like iPhones, presenting new opportunities for medical practitioners to leverage advanced AI tools in their day-to-day operations. As we await further details from Apple’s June developer conference, the implications for enhanced functionality, …

Read more…

In the ever-evolving health care landscape, the synergy between human expertise and artificial intelligence (AI) is not just beneficial—it is essential. As we stand on the brink of a technological revolution, it is crucial to recognize that the integration of AI in health care should enhance, not replace, the human touch. This article explores the indispensable role of health care professionals in an AI-driven environment, emphasizing why the human element …

Read more…

As we navigate the digital renaissance, the advent of artificial intelligence (AI) has undeniably marked a pivotal era in technological innovation and societal advancement. This era, brimming with potential, necessitates a framework to ensure that our journey is not only propelled by the wings of advancement but is also anchored in ethical integrity. Here are DrGPT’s ten commandments for navigating the …

Read more…

Integrating artificial intelligence (AI) marks a pivotal change in the swiftly evolving health care landscape. The adoption curve of AI in health care mirrors the classic early adopters versus late adapters scenario seen in technology uptake. As an emergency room (ER) doctor with a futurist outlook, the comparison between human roles and AI is intriguing and pivotal for understanding and navigating the future of medical care.

Early adopters. These pioneers integrate …

Read more…