Forgiving Computers: The Rise of Automation and Implications for Counseling

Automated artificial intelligence-based system for clinical follow-up of patients with age-related macular degeneration

PURPOSE

In this study, we investigate the potential of a novel artificial intelligence-based system for autonomous follow-up of patients treated for neovascular age-related macular degeneration (AMD).

METHODS

A temporal deep learning model was trained on a data set of 84 489 optical coherence tomography scans from AMD patients to recognize disease activity, and its performance was compared with a published non-temporal model trained on the same data (Acta Ophthalmol, 2021). An autonomous follow-up system was created by augmenting the AI model with deterministic logic to suggest treatment according to the observe-and-plan regimen. To validate the AI-based system, a data set comprising clinical decisions and imaging data from 200 follow-up consultations was collected prospectively. In each case, both the autonomous AI decision and original clinical decision were compared with an expert panel consensus.

RESULTS

The temporal AI model proved superior at detecting disease activity compared with the model without temporal input (area under the curve 0.900 (95% CI 0.894-0.906) and 0.857 (95% CI 0.846-0.867) respectively). The AI-based follow-up system could make an autonomous decision in 73% of the cases, 91.8% of which were in agreement with expert consensus. This was on par with the 87.7% agreement rate between decisions made in the clinic and expert consensus (p = 0.33).

CONCLUSIONS

The proposed autonomous follow-up system was shown to be safe and compliant with expert consensus on par with clinical practice. The system could in the future ease the pressure on public ophthalmology services from an increasing number of AMD patients.

Analysis of engagement between ethics and return-to-work discourses in respective academic literature

BACKGROUND

Return-to-work (RTW)/back-to-work (BTW) interventions that are designed to rehabilitate individuals impaired from fulfilling employment roles are facing challenges. Ethics discourses, including ethics theories, principles and concepts, are meant to give guidance on what one ought to do or not to do and RTW professionals could use them to respond to their challenges.

OBJECTIVE

A scoping review was performed to investigate to what extent 33 ethics concepts, theories, and principles are employed in RTW/BTW academic literature, and to what extent RTW/BTW is engaged with in ethics linked academic journals.

METHODS

Three academic databases were searched, and 147 article results were extracted from our literature review to be thematically analyzed.

RESULTS

Searches with n = 11 ethics concepts and n = 4 ethics theories generated results. The content of 20 RTW/BTW article results demonstrated conceptual engagement between RTW and ethics discourses. Only one article in ethics-related journals conceptually engaged with RTW/BTW.

CONCLUSION

Ethics theories and principles were not used extensively in RTW/BTW academic literature and RTW/BTW is a topic under-engaged within ethics-related journals. Our findings indicate opportunities for further research, like conducting interviews, to better understand our findings and how to respond to them.