Developing medical AI models that can understand patient-physician conversations is a daunting task. To do so requires specialized data. Our data, rich in real-world medical situations, diagnostic reasoning, and treatment outcomes, offers insights beyond traditional medical records. Using this information, AI models can better understand patient care, from nuanced decision-making to effective communication. They can develop the ability to interpret human-like dialogue, contextualize symptoms, and anticipate physicians' decisions.

Fortune 500 companies understand how vital high-quality medical training data is. That is why two of the ten largest technology companies in the world chose GoodLabs' Monkey Jacket ultra-realistic patient-physician conversation datasets to enable the potential of their medical AI models.

You can learn more about our Medical A.I. Engineering and Data Sets here: 

• Research Paper “A dataset of simulated patient-physician medical interviews with a focus on respiratory cases” in Nature Scientific Data Journal