Clinical reasoning is at the center of medical care. History taking and physical examination findings provide the greatest part to identify a preliminary list of diagnoses. But clinical reasoning suffers from bias. Supporting reasoning through large language models might help healthcare providers in diagnostic thinking. As initial step a list of possible diagnoses is created from a symptoms. In the future chained prompts might additionaly produce suggestions for further diagnostic workup based on the list of differential diagnosis or provide key findings that help to differentiate between the preliminary list of diseases.
Are you interested in learning more about reinforcement learning in artificial intelligence, but you are not sure where to start? If this sounds like something that interests you, then this hackathon event is for you!
We welcome you to join us for episode one of Cohere Online Hackathon! We're partnering with Cohere to give the LabLab community the opportunity to build with one of the world's most powerful artificial intelligence language models.
ποΈ This will be a 7-day virtual hackathon from 13-20 January π» Access AI21 Labs' state-of-the-art language models to build innovative applications π Prizes and awards of up to $9000 API credits + $3500 cash π‘ Meet and learn from AI21 Labs and Lablab experts π₯ Join the community and find your team βοΈ All levels are welcome π AI tutorials and mentors to help you β Receive a certificate of completion and Wordtune premium for submission π±βπ» Sign up now! Itβs free!