Development and validation of an autonomous artificial intelligence agent for clinical decision-making in oncology
Heidelberg University · University Hospital Heidelberg · +15 more institutions
Abstract
Clinical decision-making in oncology is complex, requiring the integration of multimodal data and multidomain expertise. We developed and evaluated an autonomous clinical artificial intelligence (AI) agent leveraging GPT-4 with multimodal precision oncology tools to support personalized clinical decision-making. The system incorporates vision transformers for detecting microsatellite instability and KRAS and BRAF mutations from histopathology slides, MedSAM for radiological image segmentation and web-based search tools such as OncoKB, PubMed and Google. Evaluated on 20 realistic multimodal patient cases, the AI agent autonomously used appropriate tools with 87.5% accuracy, reached correct clinical conclusions…
Citation impact
- FWCI
- 103.76
- Percentile
- 100%
- References
- 57
Authors
14- DFDyke FerberCorresponding
Heidelberg University, University Hospital Heidelberg, Fresenius (Germany), National Center for Tumor Diseases
- OSOmar S. M. El Nahhas
Fresenius (Germany)
- GWGeorg Wölflein
University of St Andrews
- ICIsabella C. Wiest
Heidelberg University, University Hospital Heidelberg, Fresenius (Germany), University Medical Centre Mannheim
- JCJan Clusmann
Fresenius (Germany), RWTH Aachen University
Topics & keywords
- Artificial intelligence
- Clinical decision making
- Computer science
- KRAS
- Precision oncology
- Clinical microbiology
- Medical physics
- Precision medicine
- Peace, Justice and strong institutions
Funding
- NINational Institute for Health and Care ResearchAward: NIHR213331
- DODepartment of Health and Social Care
- ECEuropean CommissionAwards: 101096312, 101057091
- DADeutscher Akademischer AustauschdienstAward: 57616814
- DFDeutsche ForschungsgemeinschaftAward: 504101714
- BFBundesministerium für Bildung und ForschungAwards: 01KD2215A, 01EO2101, 01VSF21048, 57616814, 01KD2215B, 01KD2104C, 031L0312A
- BFBundesministerium für GesundheitAwards: ZMVI1-2520DAT111, 2520DAT111
- DKDeutsche KrebshilfeAwards: 70115166, 70113864, 2520DAT111
- DKDeutschen Konsortium für Translationale Krebsforschung
- GBGemeinsame BundesausschussAward: 01VSF21048
- HEHORIZON EUROPE Framework ProgrammeAward: 101057091