Healthcare
As a doctor and developer, I've spent years on both sides of the table—treating patients and coding software that streamlines healthcare processes. AI is supposed to be the great equalizer, reducing human error and improving diagnostic efficiency. Yet, here we are in the end of 2024, and
Healthcare
Artificial Intelligence (AI) is transforming healthcare diagnostics by improving accuracy and efficiency. However, AI-driven diagnostics raise serious legal and ethical concerns, especially when misdiagnoses occur or when individuals rely on AI for self-diagnosis. As someone who bridges medicine, development, and AI use, I will explore the legal implications, potential liabilities,
Artificial Intelligence (AI)
Artificial Intelligence is everywhere, and the world of coding is no exception. From chat-based assistance to auto-generating commits, AI-powered IDEs are becoming increasingly popular. But here’s the big question: Are these AI tools making developers more efficient, or are they just fostering dependency and laziness? The answer isn’t
Artificial Intelligence (AI)
The future of healthcare isn’t just about doctors and nurses — it’s about AI agents working behind the scenes to streamline processes, reduce errors, and free up valuable time for human professionals. From diagnosing diseases to automating administrative tasks, AI agents are poised to transform healthcare in ways that
Healthcare
As Artificial Intelligence is making waves in healthcare, AI-powered diagnostics are often touted as the next big thing. But let’s be real — are doctors looking at a helpful assistant or a future replacement? While technology promises efficiency, accuracy, and cost savings, many doctors understandably feel skeptical, even fearful. After
Artificial Intelligence (AI)
In the world of constant technological evolution, artificial intelligence is no longer a distant future; it's part of our daily reality. One of the most talked-about AI tools, ChatGPT, can do more than just chat — it can become a powerful companion for learning. But how do you use
LLM
No servers. No clouds. Just your browser and your GPU. That's what Web LLM brings to the table. Imagine chatting with a large language model (LLM) directly in your browser without depending on any backend server. Sounds like sci-fi? It's not. Web LLM by MLC AI
Healthcare
Is the AI Trend Worth It? A Doctor, Developer, and Tech User's Perspective
Healthcare
Hospitals are known for saving lives and pushing the limits of medical science. But let’s be honest—they’re also known for mountains of paperwork, tedious appointment scheduling, and repetitive administrative tasks that can make even the most dedicated staff member want to pull their hair out. Luckily, AI
Python
As a doctor and developer, I've spent years navigating the intersection of healthcare and technology. It's clear that AI isn't just a buzzword in healthcare—it’s a tool with real, transformative potential. Over the years ,we covered hundreds of open-source medical and healthcare
Automation
Automator on macOS: The Hidden Gem for Seamless Automation and AI Integration
LLM
If you’re diving into the world of local AI models and want a robust, easy-to-use platform to run them, LM Studio is your new best friend. It offers a streamlined way to download, manage, and run large language models (LLMs) like Llama right on your desktop. Whether you’re
Artificial Intelligence (AI)
How to Be a Proper Prompt Engineer: 7 Tips and Recommended Tools
ChatGPT
ChatGPT’s new Reason tool adds a sharp edge to problem-solving, decision-making, and analysis. If you've ever needed a methodical breakdown of complex ideas or solutions to tricky logic problems, this feature will be your new best friend. ChatGPT Expands Capabilities with New AI Tools: A Boon for
ChatGPT
In a significant upgrade to its toolkit, ChatGPT has rolled out new AI features aimed at enhancing its utility for users and prompt engineers. These features include Canvas, Picture (DALL-E), Search, and Reason — a diverse suite of tools designed to boost productivity and creativity. The New AI Arsenal 1- Canvas:
Artificial Intelligence
Building AI applications is no longer just about crafting algorithms; it’s about creating seamless, user-friendly solutions that solve real-world problems. The open-source ecosystem is rich with frameworks and tools designed to help developers, engineers, and data scientists take their AI models from concepts to polished applications. Below, we explore
LLM
17 Running LLMs on the Web? Yes It is Possible, Here are 13 Solution to Do that
Artificial Intelligence (AI)
Google has quietly launched NotebookLM, a revolutionary note-taking and research assistant platform designed to leverage the power of large language models (LLMs). NotebookLM (formerly known as Project Tailwind) positions itself as more than just another note-taking app—it's an AI-powered knowledge tool aimed at transforming the way users
Artificial Intelligence (AI)
An AI agent is simply a computer program that can complete tasks and make decisions on its own. Like a helpful digital assistant, it uses artificial intelligence to understand information, learn from experience, and take appropriate actions to achieve specific goals. Who uses AI Agents? Businesses use AI agents to
Artificial Intelligence
What is a Vector Database? A vector database is a type of database specifically designed to store, manage, and query data represented as vectors. Vectors are numerical representations of data objects, often derived from machine learning or deep learning models, which capture the semantic meaning of text, images, audio, or
medical imaging
As artificial intelligence continues transforming healthcare, one of the most exciting developments is happening in radiology departments worldwide. The integration of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with traditional medical imaging systems is creating unprecedented opportunities for more accurate diagnoses and improved patient care. In this post, we
Artificial Intelligence (AI)
Generative AI (GenAI) is a type of artificial intelligence that creates new content such as text, images, audio, video, or 3D models. It uses machine learning models, often based on deep learning architectures, to generate outputs from user inputs like text prompts or images. Examples include text generation, image creation,
Healthcare
As both a practicing physician of years and an AI developer who has worked extensively with healthcare applications, I've gained unique insights into the intersection of artificial intelligence and medical care. I've also been an active user of AI tools in my clinical practice, which has
LLMS
Imagine walking into your doctor's office and, within minutes, they have a complete understanding of your entire medical history, including that allergy you mentioned five years ago or that minor surgery from your childhood. This isn't just convenient – it's potentially life-saving, and it'