Clinical AI and Precision Medicine: Philosophical Questions About Labels, Disease, and Evidence
Antonis A. Armoundas · 2026
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Description
Antonis Armoundas wrote a comment piece in 2026 on deep questions behind the use of smart computer tools in tailored medicine. Care is shifting from average-patient rules toward plans fitted to each person. Yet core terms such as disease, risk, and proof are less settled than daily practice suggests. Cut points that turn a measure into a diagnosis rest on time, cost, and harm, not on the number alone.
Armoundas focuses on three linked issues: how diseases are sorted, what a disease is, and what counts as proof. The piece argues that smart tools can expose these hidden choices rather than hide them. It urges care built around choices, where a diagnosis stays open to revision and the grounds for action stay clear.
Catalog record
| CREATOR | Antonis A. Armoundas |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 34 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |