AI Logic Of Care: Design for future medical care and premises for upgrading smart bandages for diabetic chronic wounds
Notice bibliographique
Résumé
Prototypes occupy an important place in the development of new products and are a well-established form of investigation in today’s design practices. This paper focuses on helping future designers in the development process of Smart Bandages (SBs) prototyping for treatment and monitoring of diabetic chronic wounds (DCWs). Adopting a perspective of design as an intermediary between different stakeholders and embracing an interdisciplinary approach, this investigation demonstrates the complexity of innovation aspects in medical contexts and the need for new insights and conceptual frameworks to support medical practice. The study introduces the concept of “AI logic of care” to advance an approach that combines Annemarie Mol’s “logic of care” and AI tools prospects. The investigation brings into discussion George Canguilhem’s work and supports a medical rationality that encourages experimentation, but also advises carefulness and modesty in the decision-making process. Long-term observation, experience and experimentation are key concepts encountered also in Mol’s “logic of care” perspective. In both cases, it is about innovation; it is about the relationship between technology and care. As an emerging, inclusive, and interdisciplinary approach to prototyping, the “AI logic of care”, which acknowledges the lack of a “care-centred design” in the research related to smart bandages, disentangles the complexity of innovation processes in medicine and the incorporation of AI in healthcare as a tool to strengthen the professional-patient relationship as opposed to the existing telemedicine format of the primary contact. The intention, as well as the hope, is to reconnect the fragmented research context of smart bandage prototyping for the treatment and control of chronic wounds. As one of the major medical issues that involve constant monitorisation, DCWs are the centre of interest to several stakeholders. From patients, caregivers, and medical services providers involved in their monitoring and treatment to engineers, material scientists, and designers involved in the products used to treat them. Smart Bandages are the starting point of reflection on the nature of prototyping and the place of care in the current design processes for medical products. Moreover, by assessing the logic of AI care in the development of these devices, the present article can offer insights into how user-centred design practices are run nowadays, as well as how they could be done in the near future.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».