Artificial Intelligence-Enabled Screening of Frailty to Enhance Decision-Making in Clinical Practice

Description of the granted funding

Frailty reflects a patient's reserves and ability to recover from illnesses and medical interventions. While frailty strongly influences treatment outcomes, particularly in oncological and surgical care, frailty is not evaluated systematically within Finnish healthcare. The FRAIL-CARE project aims at facilitating the assessment of frailty by evaluating the clinical performance and utility of an artificial intelligence (AI)-based electronic frailty index (eFI) method. The eFI is enables automated frailty screening to support risk stratification and care planning in older adults undergoing oncological and surgical care.
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Starting year

2026

End year

2028

Granted funding

Juulia Jylhävä
223 568 €



Contact person

Juulia Jylhävä

Role in consortium of the Academy of Finland

Partner

Other consortium parties

Leader
349 952 €
Partner
224 580 €

Funder

Research Council of Finland

Funding instrument

Targeted Academy projects

Decision maker

Suomen akatemian muu päättäjä
05.12.2025

Other information

Funding decision number

373774

Research fields

Kliiniset lääketieteet

Identified topics

health care