

How do we test the performance of AI health assessment tools?
While this study shows how far technology has progressed, it also demonstrates that not all symptom checkers are created equal.
Learn about technology in healthcare.
While this study shows how far technology has progressed, it also demonstrates that not all symptom checkers are created equal.
It could signal a watershed moment for the field: acceptance of clinical AI research as part of 'mainstream' clinical research.
Digital symptom assessment tools have the potential to transform the flow of patients and improve their access to proper care.
In short, this means that Ada has been ‘trained’ in how to identify COVID-19 and it can come up as a suggested condition.
I’ve seen the difficulties rare disease patients face. I met a child who, despite seeing specialists for a year, had no diagnosis.
Developing a standardized benchmark to measure the effectiveness of AI symptom assessments is a tough nut to crack.
Our clinical experts, Shubs and Adel, discuss how working with AI is affecting their practice as primary care doctors.
Benchmarking AI in healthcare is far from simple – particularly for symptom assessments, which is the area we're focused on.
To accurately benchmark and test emerging digital health technologies, external evaluation should be rigorous.
I asked my healthtech peers what they expect to see over the next 12 months. Here are their predictions for seven trends...