OpenAI has unveiled ChatGPT Health, a significant new feature that allows users to analyze medical test results, prepare for doctor appointments, and receive guidance on diets and workout routines. This announcement represents the company's most substantial entry into the healthcare sector to date.

Key Features and Capabilities

ChatGPT Health is designed to provide useful health and fitness information while stopping short of making formal medical diagnoses. The feature offers comprehensive connectivity options and enhanced functionality for health-related queries.

Market Context and User Base

The healthcare technology sector continues to attract significant investment from major tech companies, with artificial intelligence being leveraged to analyze health data patterns and provide personalized medical recommendations. OpenAI's entry into this space builds on substantial existing user engagement.

Implementation and Access

OpenAI announced the feature on Wednesday with a phased rollout approach. Initially, users can sign up for a waitlist to access the product, with the company planning to expand availability more broadly in the coming weeks.

Privacy and Safety Considerations

The company has implemented specific measures to address concerns about AI services handling sensitive personal health data. OpenAI plans to separate health conversations from other parts of the application and incorporate enhanced privacy features to protect user information.

Leadership Perspective

Fidji Simo, OpenAI's chief executive officer of applications, emphasized the supplementary nature of the service during a media briefing. She highlighted that doctors often face time and bandwidth constraints that limit their ability to spend extensive time understanding individual patients and explaining medical information in accessible terms. The AI technology is positioned to address these limitations without replacing medical professional judgment.

Jerry Tworek, vice president of research at OpenAI, has announced his departure from the company after seven years of service. In a note shared on social media platform X, Tworek stated his main reason for leaving is to pursue research that is "hard to do" at the current organization.

Key Achievements During Tenure

Tworek's contributions to OpenAI span numerous breakthrough developments in artificial intelligence research. His work encompassed several critical areas that shaped the company's technological advancement:

"I've loved my time with this team. I got to work on scaling RL on robots before it was cool, training the first coding models in the world that started the LLM coding revolution, discovering chinchilla scaling before it was called chinchilla, working on gpt4 and chatgpt and most recently building a team that established new paradigm of scaling training and inference compute we commonly call reasoning models," Tworek wrote in his departure note.

Career Timeline at OpenAI

Tworek's journey at OpenAI reflects the company's rapid evolution in AI research and development:

One of Tworek's most notable achievements includes the development of OpenAI's o1 and o3 models, which demonstrated doctorate-level performance in scientific subjects including physics, biology, and chemistry.

Context of Departure

Tworek's resignation occurs amid reports of changing research dynamics within OpenAI. According to a December 9, 2025 report from Wired, employees from the company's economic research team have cited concerns about the organization moving away from fact-based research. The report suggests OpenAI has become more restrictive regarding publication of research that may present AI in a negative economic light.

These developments coincide with OpenAI's transition from a non-profit model to a for-profit organization, along with reports indicating the company remains a loss-making entity despite significant financial obligations.

Research Impact and Legacy

Tworek emphasized his continued commitment to AI advancement despite his departure. "Together, we've made machine intelligence much more useful and reliable, and I'm a die hard ChatGPT reasoning model user," he stated in his farewell message. His work on scaling models and technical foundations of Large Language Models has contributed significantly to the current landscape of AI technology and applications.