AI system interprets eye scans as accurately as top specialistsBMJ 2018; 362 doi: https://doi.org/10.1136/bmj.k3484 (Published 13 August 2018) Cite this as: BMJ 2018;362:k3484
All rapid responses
AI computer systems could also perform fast and accurate diagnoses in dermatology, colposcopy, radiology, histopathology.
Competing interests: No competing interests
The application of Artificial Intelligence to Optical Coherence Tomography is surely very welcome if it can prioritise those who need specialist clinical input – and so speed up vision-saving interventions. Happily, the initial results suggest this is the case.
Elsewhere in this week’s BMJ there is an article on ‘Patients roles and rights in research’(1) – making it clear that involvement is best practice. The BMJ say that they have extended their current reporting requirements on how patients and the public were involved in research they report.
How is the Deep Mind / Moorfields team going to involve patients in the work they still need to do for regulatory approval? As the BMJ Editorial suggests, it’s not just about token involvement for ‘virtue signalling’.
Deep Mind are keen to sort out the ‘black box’ problem for clinicians understanding a new technology. What about the patients?
The AI/OCT package is intended to help those with, for example, macular degeneration and diabetic retinopathy. How are they addressing the needs of those with multiple visual morbidity? These more informed patients may well have different communication as well as clinical needs.
Deep Mind is clearly leading on some truly innovative work.
Can they be as exciting in their patient / community involvement?
(1) Editorial. Patients roles and rights in research. BMJ 2018 ;362:k3193
Competing interests: I have multiple visual morbidities.