12
Oct 2025
AI is transforming medical software across diagnosis, triage, workflow automation, remote monitoring, and patient engagement. Adoption is accelerating (enterprise interest and investment are large), regulatory bodies are authorizing AI-enabled devices, and peer-reviewed studies show real diagnostic gains — but success requires careful data governance, clinical validation, human-in-the-loop design and regulatory discipline. Below I explain how […]
10
Oct 2025
We queried several leading LLMs about what software companies must do in 2026 and synthesized their answers into a single practical playbook. Read on for the consensus trends, which programming languages will deliver the most value, the skills teams should prioritize, and a step-by-step approach to safely embed AI into your development lifecycle. Use this […]
09
Oct 2025
AI assistants for software development moved from novelty to everyday tooling in 2023–2025. Today’s coding-focused LLMs no longer just spit out snippets — they integrate with IDEs, reason about multi-file repositories, generate tests, suggest fixes, and in some settings even submit pull requests. The core value is the same: make developers faster by automating repetitive […]
09
Oct 2025
If you’ve been wondering whether to take a break from ChatGPT and try Google Gemini, you’re not alone. The big question — beyond clever marketing — is whether Gemini brings something materially different to everyday AI use. The short answer: yes — and not just in small ways. Gemini’s strengths are built around Google’s massive […]
08
Oct 2025
Artificial intelligence (AI) is reshaping medical software — from faster, more accurate diagnoses to operational efficiencies, personalized medicine, and smarter patient engagement. But the promise comes with unique constraints: clinical validation, patient safety, data governance and regulatory oversight. This guide explains where AI adds the most value, how to build it responsibly into medical products, […]
Recent Posts