🤖 ChatGPT Outperforms Doctors in Diagnosing Complex Cases

Welcome AI & Healthcare enthusiasts!

In a recent study, ChatGPT achieved a 90% accuracy rate in medical diagnoses, outperforming doctors who do not use AI tools.

Meanwhile, Neuralink is advancing brain-controlled robotic arms to restore movement for disabled patients, and Forward Health, a $1 billion AI startup, has abruptly shut down.

Let’s dive in!

Victor

TODAY’S MENU

• ChatGPT Outperforms Doctors in Diagnosing Complex Cases

• Forward Health Shuts Down: A $1 Billion AI Healthcare Startup Collapses

• Neuralink Wants to Restore Movement Through Brain-Controlled Robotic Arms

• Google Wants to Help Everyone Build AI for Healthcare Applications

• Everything Else You Should Know this Week

  ‎

  Read time: under 6 minutes

OPENAI

ChatGPT Outperforms Doctors in Diagnosing Complex Cases

A recent study revealed that OpenAI’s ChatGPT-4 outperformed physicians in diagnosing and explaining medical cases, raising questions about how AI can complement traditional clinical reasoning.

Key Features:

• ChatGPT scored 90% in diagnosing complex medical cases, while doctors with access to ChatGPT scored 76%, and those without scored 74%.

• Many physicians ignored ChatGPT’s better suggestions, sticking to their initial diagnoses, demonstrating overconfidence in their own conclusions.

• Most doctors treated ChatGPT like a search engine, asking isolated questions rather than leveraging its ability to process entire case histories comprehensively.

• In one case of cholesterol embolism, ChatGPT demonstrated reasoning that matched or exceeded human expertise, showcasing its capability in solving intricate medical problems.

Why it matters: AI like ChatGPT has the potential to revolutionize diagnostics by offering a second opinion that enhances accuracy and reduces errors. However, its success depends on educating doctors to fully integrate these tools into their diagnostic processes, enabling better collaboration between humans and AI. How long before it becomes standard practice for doctors to use AI as part of their diagnostic process?

OUR SPONSOR

Writer RAG tool: build production-ready RAG apps in minutes

RAG in just a few lines of code? We’ve launched a predefined RAG tool on our developer platform, making it easy to bring your data into a Knowledge Graph and interact with it with AI. With a single API call, writer LLMs will intelligently call the RAG tool to chat with your data.

Integrated into Writer’s full-stack platform, it eliminates the need for complex vendor RAG setups, making it quick to build scalable, highly accurate AI workflows just by passing a graph ID of your data as a parameter to your RAG tool.

Learn more about our production ready RAG tooling here.

BUSINESS

Forward Health Shuts Down: A $1 Billion AI Healthcare Startup Collapses

Once valued at $1 billion, Forward Health has abruptly closed all clinics, canceled visits, and disabled its app, marking the collapse of a prominent tech-enabled healthcare unicorn.

Key Details:

• Forward raised $657M in funding and operated 19 clinics in major U.S. cities with over 100 primary care clinicians.

• The company launched AI-driven CarePods in 2023 but struggled with high costs and operational complexity.

• Critics argue Forward focused on tech over patient care, highlighting challenges in scaling AI-based healthcare solutions.

• Patients have until December 13, 2024, to contact Forward’s medical team for support.

Why it matters: Forward’s fall highlights a key lesson: bold tech ideas need to solve real patient problems, not just impress investors. The future of healthcare innovation lies in balancing cutting-edge AI with human-centered care.

AI RESEARCH

Google Wants to Help Everyone Build AI for Healthcare Applications

Google has launched Health AI Developer Foundations (HAI-DEF), a new open resource aimed at simplifying the development of medical AI tools from early research to commercial ventures.

Key Details:

• The initial launch of HAI-DEF is focused on imaging applications in radiology, dermatology, and pathology.

• HAI-DEF provides specialized AI models for tasks like chest X-ray analysis, skin condition detection, and tumor grading, trained on massive datasets.

• Developers can build and fine-tune high-performing models with minimal additional data and computational resources.

• Accessible via Google’s Vertex AI Model Garden and Hugging Face, with detailed guides for seamless implementation.

Why it matters: Building robust medical AI is costly and data-intensive. HAI-DEF accelerates innovation by offering pre-trained models, addressing data scarcity for rare conditions, and reducing computational overhead.

Learn how to make AI work for you

AI won’t take your job, but a person using AI might. That’s why 800,000+ professionals read The Rundown AI – the free newsletter that keeps you updated on the latest AI news and teaches you how to use it in just 5 minutes a day.

Sign up to start learning.

NEUROSCIENCE

Neuralink Wants to Restore Movement Through Brain-Controlled Robotic Arms

Elon Musk’s Neuralink has received approval to launch its CONVOY study, testing its brain-computer interface implant to control robotic arms. This marks another milestone in Neuralink’s mission to restore mobility and independence for patients with severe disabilities.

Key Details:

• Neuralink’s CONVOY study builds on its ongoing PRIME trial, which uses the N1 implant to translate neural activity into commands for operating devices like smartphones or computers.

• Neuralink received Health Canada approval for the CAN-PRIME study in Toronto, testing its implant and robotic insertion system, the R1 robot.

• Musk envisions pairing BCIs with Tesla’s Optimus humanoid robot, enabling brain-controlled robotic limbs for amputees or paralyzed individuals.

Why It Matters: Neuralink’s early trials could revolutionize assistive technology, offering new mobility options for paralyzed patients. If successful, it may redefine how we bridge human intention and robotic capabilities.

Hungry for more? Explore these great newsletters from our friends:

Must-Read AI Healthcare News This Week

World’s first fully robotic double lung transplant: NYU Langone surgeons achieve a global milestone, using AI-assisted robotic systems to perform a minimally invasive procedure on a COPD patient.

Microsoft unveiled BiomadParse, a GPT-4-powered AI system capable of analyzing medical imagery to identify various conditions, from tumors to COVID-19 infections, through simple text prompts.

Jimini Health raises $8M to blend AI with therapy: Its assistant, Sage, supports daily mental health exercises, keeping patients engaged between sessions to tackle conditions like anxiety and depression.

Teladoc Health launches AI-powered Virtual Sitter: A new tool to detect patient fall risks and support hospital staff.

Biotech startup Cradle raised $73M to expand its AI platform for protein discovery and sequencing as it searches for new medications and treatments.

AI Avatar therapy shows promise for psychosis: UK trial reports reduced voice-related distress and severity after digital sessions with custom AI-powered avatars.

Korean AI model predicts mood episodes with sleep data: South Korean researchers use Fitbit sleep-wake data to achieve 95% accuracy in forecasting bipolar and depressive episodes.

Thanks for reading!