正在加载视频...

视频加载失败

Introducing an advanced Articulate Medical Intelligence Explorer (AMIE), which goes beyond diagnosis towards treating and managing disease over time, matching clinician performance on multi-visit consultations in a study with patient actors. Learn more at

236,784 次观看 • 1 年前 •via X (Twitter)

11 条评论

Willy Iglesias 的头像
Willy Iglesias1 年前

AMIE’s a beast—diagnosis is cool, but managing disease over time? That’s the real win. Matching clinicians in multi-visit tests is wild. This is the kind of AI I’m all in for—disrupting health for good. #AIHealth #GlobalHealth

Actuvi 的头像
Actuvi1 年前

Expand your services and reach more patients with a digital care offering powered by Actuvi. Seamlessly integrate RTM into your practice for a patient-centric approach.

Meta Nomad 的头像
Meta Nomad1 年前

Result?

Eduardo C. Garrido-Merchan 的头像
Eduardo C. Garrido-Merchan1 年前

Amazing stuff, congratulations. This is just what we need to convert society into a better place, when we get ill is when we become aware of the importance of medicine, science and technology. This is making that possible. Good use of AI for social good.

L8NTLABS 的头像
L8NTLABS1 年前

The potential for AI in medical diagnosis is undeniable, but what really gets me excited is when we can merge this tech with creative problem-solving.

🐧 lalo adrian morales 𝕏 的头像
🐧 lalo adrian morales 𝕏1 年前

anything on preventative health?

Mr_o - Mind AI 的头像
Mr_o - Mind AI1 年前

That is incredible. If it is accurate enough, then this could revolutionize fast diagnoses.

AI Synergy Project 的头像
AI Synergy Project1 年前

This is a big step forward.

Cyrus Cashflow 的头像
Cyrus Cashflow1 年前

What’s next, robotic surgeons by poets?

DataInsta 的头像
DataInsta1 年前

amie sounds like a game changer! next-level care in a digital world!

Fabio Lauria 的头像
Fabio Lauria1 年前

@GoogleAI, aMIE represents a blueprint for the future of healthcare. Bridging diagnostics and treatment fosters continuous improvement in patient care. Exciting times are ahead for medical technology. 💡#InnovationInHealthcare

相关视频

New short course: Practical Multi AI Agents and Advanced Use Cases with crewAI. Learn to build and deploy advanced agent-based systems in real applications in this course, created with CrewAI and taught by its founder, João Moura! (Disclosure: I've made a small seed investment in CrewAI.) In this course, you’ll learn how to create advanced agent-based apps that use external tools, do performance testing, can be trained with human feedback, and perform multiple tasks with different large language models. You will build several practical agentic apps that provide real business value, such as an automated project planning system, lead scoring and engagement pipeline, customer support data analysis, and a robust content creation system. In detail, you will learn how to: - Create these multi-agent systems with the building blocks of tasks, agents, and crews, along with the different things that make them work, such as caching, memory, and guardrails. - Integrate your multi-agent application with internal and external systems. - Connect multiple agents in complex setups, including parallel, sequential, and hybrid configurations, and create flows involving multiple agentic applications working together. - Test your agentic workflow and train it using human feedback to optimize its performance for better and more consistent results. - Work with multiple LLMs in your multi-agent system, using the appropriate model sizes and providers to fit each agent’s specific task. - Start a project from scratch in your environment and prepare it for deployment. You’ll also learn from an interview between João and Jacob Wilson, the Commercial GenAI Principal at PwC , in which they discuss deploying agentic workflows in real industry use cases. By the end of this course, you will be equipped to start building custom multi-agentic systems for your work. Please sign up here!

Andrew Ng

340,724 次观看 • 1 年前