Monkey Jacket 2.0
Physician training ground with live A.I. patient Avatar
Monkey Jacket v2.0 represents a significant advancement from its predecessor, developed by medical professors and professionals for OSCE training and built upon the success of version 1.0. This new generation now provides a crucial training environment for both human and AI physicians, featuring live AI patient avatars that greatly enhance the realism of patient-physician interactions. These sophisticated simulations produce a comprehensive, ultra-realistic interaction crucial for training and validating some of the most advanced medically trained large multimodal models (LMMs). Celebrated for its accuracy and efficacy, Monkey Jacket 2.0 is relied upon by top technology companies and researchers worldwide to enhance their medical AI capabilities. Its superior simulation features are vital in paving the way towards developing a super AI doctor, equipped with both general and specialized medical expertise.
A.I. assisted medical professionals
Monkey Jacket uses advanced A.I. models to enhance medical examination quality by offering thorough validation and crucial feedback. Monkey Jacket enables physicians to refine their diagnostic skills, providing precise, actionable insights based on best practices and extensive data. Additionally, physician feedback on the A.I.'s performance fosters continuous improvements in accuracy and effectiveness. This creates a beneficial feedback loop between human expertise and A.I., continuously enhancing both medical practice and A.I. development.
High Quality Medical Conversation Data
Successfully trained medical A.I.s all begin with a high-quality, low-word-error-rate (WER) transcript. This foundational element ensures that every spoken word is accurately captured, setting the stage for effective data analysis and interpretation. All conversation data includes high-quality audio data, with a 44 kHz or higher sample rate and delivered in .wav format for optimal clarity and precision.
Feedback for physicians
Our medically trained AI acts as an emerging co-pilot for physicians by providing direct, immediate feedback after patient conversations. This real-time quality assurance tool analyzes the dialogue for thoroughness and accuracy, highlighting missed symptoms, suggesting additional queries, and reinforcing best practices. Such feedback is essential for continual learning and improvement to improve the quality of the ultra-realistic medical A.I. training dataset.
ASSOCIATED SOAP NOTES Training Data
Additional synthetic data, including SOAP notes that match associated patient-physician conversations, can be crucial for training specialized medical A.I. systems. By integrating these detailed, simulated clinical notes with conversational data, the A.I. can learn to understand and predict medical documentation requirements and diagnostic patterns more effectively. This enriched training environment allows the A.I. to develop a deeper understanding of clinical contexts and enhances its ability to support healthcare professionals in real-time decision-making and documentation processes.
ONE-CLICK CONTINUOUS TRAINING
Our upcoming one-click training platform promises to eliminate the complexity of medical A.I. training. Offering a seamless service that continuously generates tailored datasets ensures that the training and fine-tuning of multiple large language models (LLMs) are up-to-date and increasingly refined through integrated feedback loops. This innovative approach streamlines the complexity of medical A.I. training, transforming intricate tasks into manageable, efficient processes. Our platform has overcome past challenges, allowing healthcare professionals to focus on leveraging A.I. to deliver better patient outcomes.
STREAMING A.I. Patient Avatar ENGINE BUILT WITH CONFLUENT & FLINK
GoodLabs Studio is proud to be a part of the Build with Confluent initiative. By verifying our streaming-based use cases with Confluent, you can have confidence that our Confluent-based service offering is not only built on the leading data streaming platform but also verified by the experts at Confluent.