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Train clinical AI to reason like a team of doctors

Train clinical AI to reason like a team of doctors
Train clinical AI to reason like a team of doctors
As the European Union’s Artificial Intelligence Act takes effect, AI systems that mimic how human teams collaborate can improve trust in high-risk situations, such as clinical medicine.
Computer science, Machine learning, Policy, Public health
0028-0836
32-34
Banerji, Christopher R.S.
1f2450d6-5772-46b5-a913-2333f7b53a2a
Chakraborti, Tapabrata
26a5ab6f-fd15-4be2-bc8b-ed53f8913548
Ismail, Aya Abdelsalam
5f352547-b823-4b51-b3d5-7f2129d2313e
Ostmann, Florian
cc4f97db-8b54-474f-aec2-93228d541384
Macarthur, Benjamin
2c0476e7-5d3e-4064-81bb-104e8e88bb6b
Banerji, Christopher R.S.
1f2450d6-5772-46b5-a913-2333f7b53a2a
Chakraborti, Tapabrata
26a5ab6f-fd15-4be2-bc8b-ed53f8913548
Ismail, Aya Abdelsalam
5f352547-b823-4b51-b3d5-7f2129d2313e
Ostmann, Florian
cc4f97db-8b54-474f-aec2-93228d541384
Macarthur, Benjamin
2c0476e7-5d3e-4064-81bb-104e8e88bb6b

Banerji, Christopher R.S., Chakraborti, Tapabrata, Ismail, Aya Abdelsalam, Ostmann, Florian and Macarthur, Benjamin (2025) Train clinical AI to reason like a team of doctors. Nature, 639 (8053), 32-34. (doi:10.1038/d41586-025-00618-x).

Record type: Letter

Abstract

As the European Union’s Artificial Intelligence Act takes effect, AI systems that mimic how human teams collaborate can improve trust in high-risk situations, such as clinical medicine.

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More information

Published date: 4 March 2025
Keywords: Computer science, Machine learning, Policy, Public health

Identifiers

Local EPrints ID: 499727
URI: http://eprints.soton.ac.uk/id/eprint/499727
ISSN: 0028-0836
PURE UUID: a1aa1dc8-fd5c-413a-a7fe-42d25d34f873
ORCID for Benjamin Macarthur: ORCID iD orcid.org/0000-0002-5396-9750

Catalogue record

Date deposited: 01 Apr 2025 16:45
Last modified: 22 Aug 2025 01:47

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Contributors

Author: Christopher R.S. Banerji
Author: Tapabrata Chakraborti
Author: Aya Abdelsalam Ismail
Author: Florian Ostmann

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