The author announces a series of experiments with jev that have real business value, starting with radiology, highlighting the global shortage of radiologists and increasing scan volumes.
We ran a bunch of experiments with jev that has real business value. We will be sharing them over the next few days. First in the series - radiology. There is a global shortage of radiologists. Everyone is doing more scans than in the previous year, and this means that
During live clinical consultations, an ambient scribe periodically feeds transcripts to Jev, which traverses a medical ontology to classify symptoms, update the differential diagnosis, suggest treatments, and flag red flags in real time.
The author demonstrates how to triage a patient to the right doctor using only TypeSafe AI's Jev model and some question-asking code, noting that no LLM is used during the conversation.
A developer shares building a calorie tracking app with Jev, highlighting its instant experience.
