Handle with care: Assessing performance measures of medical AI for shared clinical decision-making
In this article I consider two pertinent questions that practitioners must consider when they deploy an algorithmic system as support in clinical shared decision-making. The first question concerns how to interpret and assess the significance of different performance measures for clinical decision-m...
| Main Author: | |
|---|---|
| Format: | Electronic Article |
| Language: | English |
| Check availability: | HBZ Gateway |
| Journals Online & Print: | Drawer...
|
| Fernleihe: | Fernleihe für die Fachinformationsdienste |
| Published: |
Wiley-Blackwell
2022
|
| In: |
Bioethics
Year: 2022, Volume: 36, Issue: 2, Pages: 178-186 |
| IxTheo Classification: | NCH Medical ethics NCJ Ethics of science |
| Further subjects: | B
Decision-making
B Ethics B Fair play B Ai B Algorithm |
| Online Access: |
Volltext (lizenzpflichtig) Volltext (lizenzpflichtig) |
| Summary: | In this article I consider two pertinent questions that practitioners must consider when they deploy an algorithmic system as support in clinical shared decision-making. The first question concerns how to interpret and assess the significance of different performance measures for clinical decision-making. The second question concerns the professional obligations that practitioners have to communicate information about the quality of an algorithm's output to patients in light of the principles of autonomy, beneficence, and justice. In the article I review the four standard performance measures used to evaluate and validate algorithms, outline their role in the discussion of algorithmic fairness, and discuss the professional responsibilities that practitioners face when communicating information about these measures to patients. |
|---|---|
| ISSN: | 1467-8519 |
| Contains: | Enthalten in: Bioethics
|
| Persistent identifiers: | DOI: 10.1111/bioe.12930 |