Developing Medical A.I. is Extremely Challenging
Monkey Jacket can help. A multimodal medical A.I. training ground, from simulation to clinical settings.
Your 1st Challenge
Access to high-quality medical training data.
Your 2nd Challenge
Models fail miserably in a real-world deployment. But you are not alone.
Breaking the A.I. Barrier in Medicine
Medical data is nearly always compartmentalized. Models are not trained to handle multimodal data. Monkey Jacket connects conversational exam data to lab reports, medical imaging, and EMR data. Monkey Jacket facilitates the development of AI so that can finally make an impact in medicine.
Inside the exam room: Patient-physician conversation data
Our patient-physician conversation data is meticulously curated with the highest standard by our team of medical professionals in an ultra-realistic clinic environment avoiding any regulatory and PHI issues. Each conversation comes with a single-channel monaural recording with a minimum audio sample rate of 44kHz, a human-validated transcript with WER (Word Error Rate) less than 2%, and a medical note corresponding to each conversation personally prepared by our medical professionals. This dataset is best suited for ASR, LLM and NLP medical model development and testing.
Radiology to bedside: medical imaging data
Our medical imaging data stands as a testament to the diligence and precision involved in the curation of our datasets. Each scan in our medical imaging database is cross-linked to a patient physician conversation with an associated radiology report; breaking the boundary of medical data compartmentalization. The scans are collected from state-of-the-art medical imaging machines operating in real-world clinical settings including: CT, MRI, PET, ultrasound, and X-ray, offering a comprehensive, and authentic representation of patient cases. This robust collection medical images, either used independently of patient conversations, or in reference to the exam dialogue, is invaluable to your medical imaging A.I. development to unlock new frontiers in diagnostic capabilities and personalized patient care.
Adding the diagnosis: lab report data
Only so much can be determined during patient-physician exams. Many illnesses require further testing to conclude what the underlying differential diagnosis truly is. That is why we have seamlessly integrated lab report data with our medical conversation and imaging data to enhance its clinical utility when developing medial AI models. The result is a multimodal dataset encompassing verbal exchanges, imaging diagnostics, and precise lab findings. It provides a comprehensive patient journey map, fostering a deeper understanding of clinical pathways and aiding in developing more accurate and nuanced A.I. medical solutions. This interconnected data ecosystem accelerates the path toward precision medicine and revolutionizes patient care.