Hazem Abbas is a physician, AI developer, author here where he writes about open-source healthcare technology, privacy-first AI, and the intersection of medicine and machine learning. Linux-first user
Healthcare
Some injuries are easy to see; a broken bone or a deep cut tells a story at a glance. Traumatic brain injuries don’t come with obvious signs. Their impact can be quiet, unpredictable, and sometimes invisible. This makes pursuing justice far more complicated. A lawyer for brain injury cases
Healthcare
A case that looks stable on paper often keeps changing in quiet and serious ways. Early records may show clear numbers, clear treatment, and a clear direction, but that clarity rarely lasts in catastrophic injury situations. What begins as a defined injury slowly grows into something much wider, touching areas
Healthcare
A single accident scene often holds more information in its first few minutes than in the hours that follow, yet those early details are rarely preserved in full. In many cases, what investigators see later is already shaped by movement, cleanup, or simple time passing. This is why early scene
Laravel
Listen, I’ve been around the block. I’ve lived through the "Wild West" days of raw PHP where every file was a 2,000-line soup of HTML and SQL. I’ve wrestled with other frameworks that felt like they were designed by people who hate developers—systems
healthcare AI
As your physician, I’m not here to tell you to stop using AI. In fact, when used correctly, it can be a powerful tool for your health. However, like any prescription, it needs to be "administered" with the right dosage and precautions. Using AI incorrectly for your
web development
In the modern TypeScript ecosystem, we spend an enormous amount of energy ensuring our business logic is type-safe. We use strict null checks, exhaustive union types, and complex generics to ensure our code is robust. Yet, many of the world’s most experienced developers still leave the front door of
Artificial Intelligence (AI)
The rise of AI agents marks a shift from models that simply talk to models that actually do. While standard chatbots provide answers, an AI agent acts as a digital coworker, reasoning through problems, using tools, and executing complex workflows. Here is a guide to understanding, leveraging, and building these
ocr
The OCR Problem We’re All Tired Of Let’s be honest: most OCR tools feel frozen in 2010. You drop in a scanned PDF or a form photo, and out comes a flat wall of text. Tables shatter. Checkboxes vanish. Layout? Gone. For developers building in healthcare, legal tech,
Artificial Intelligence (AI)
As a developer, there is nothing more frustrating than watching an AI agent go "rogue." You ask for a simple feature update, and suddenly, your Google Antigravity environment is suggesting libraries that don't exist or, even worse, refactoring 500 lines of perfectly functional code just for
Artificial Intelligence (AI)
It started over coffee with a radiologist friend who’d just migrated her clinical summary workflow to Claude. “I stopped fighting the AI voice,” she told me, stirring her cup. “It just sounds like a colleague now. I spend half as much time rewriting.” Two days later, my lead backend
Healthcare
As a doctor, my primary goal is to provide patients with the best possible care. To do that, I need to be fully present with the patient, listening to your concerns, observing your symptoms, and thinking critically about your health. However, for years, a major "wall" has stood
JavaScript
I was mentoring a fresh Node.js dev yesterday who asked, "npm or npx, what's the difference?" I smiled and said: "Think of npm as your toolbox, you install tools to keep. npx is like borrowing one for a quick job, then returning it. Use