Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 51 min ago
Peer-reviewedCC BY-NC-ND 4.0eClinicalMedicine

An explainable artificial intelligence system for prognostic assessment and decision support in diabetic foot ulcer care: a multicentre derivation and validation study with prospective randomised evaluation

Related

  1. An explainable artificial intelligence framework using electrocardiograms to predict mortality and major adverse cardiovascular events
    Jerry Peng, Michael D. Glidden, Sai Rahul Ponnana +11
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textCardiovascular medicineCrossref
  2. Artificial Intelligence in Gastroenterology: Towards Explainable, Generalisable and Clinically Actionable Decision Support.
    İsmail Baydili, Burak Tasci, Sengul Dogan +1
    Diagnostics (Basel, Switzerland)Peer-reviewedCC BYFull textEpidemiology & public healthEurope PMC
  3. Explainable artificial intelligence in prostate and bladder cancer: A review of imaging, digital pathology, molecular profiling, and clinical data.
    Dimitrios Diamantidis, Georgios Tsakaldimis, Nikolaos Smyrlis +10
    Current urologyPeer-reviewedCC BY-NC-NDFull textGeneral medicineEurope PMCPMC
  4. Skin Cancer Classification Using Explainable Artificial Intelligence With an Ensemble Model and Rigorous Leakage Free Validation
    M. T. BARAN, O. KARAKOYUN
    medRxivPreprintCC BY-NC-NDFull textEpidemiology & public healthmedRxiv
  5. Conversational diagnostic artificial intelligence in ambulatory primary care: a prospective feasibility study
    Peter G. Brodeur, Jacob M. Koshy, Anil K. Palepu +45
    The LancetPeer-reviewedLicence not statedFull text18 citedEpidemiology & public healthOpenAlex
BibTeX
@article{zhang2026explainable,
  title = {{An explainable artificial intelligence system for prognostic assessment and decision support in diabetic foot ulcer care: a multicentre derivation and validation study with prospective randomised evaluation}},
  author = {Jia-Yu Zhang and Yangyang Zhuang and Qingping Cao and Chenxi Song and Yanjun Feng and Gaosheng Zhuang and Zhe Ji and Xueyang Li and Qiang Li and Peisheng Jin and Aijun Zhang and Chi Zhang},
  journal = {eClinicalMedicine},
  year = {2026},
  month = nov,
  doi = {10.1016/j.eclinm.2026.104284},
  url = {https://linkinghub.elsevier.com/retrieve/pii/S2589537026005377},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - An explainable artificial intelligence system for prognostic assessment and decision support in diabetic foot ulcer care: a multicentre derivation and validation study with prospective randomised evaluation
AU  - Jia-Yu Zhang
AU  - Yangyang Zhuang
AU  - Qingping Cao
AU  - Chenxi Song
AU  - Yanjun Feng
AU  - Gaosheng Zhuang
AU  - Zhe Ji
AU  - Xueyang Li
AU  - Qiang Li
AU  - Peisheng Jin
AU  - Aijun Zhang
AU  - Chi Zhang
PY  - 2026
DA  - 2026/11/01
JO  - eClinicalMedicine
DO  - 10.1016/j.eclinm.2026.104284
UR  - https://linkinghub.elsevier.com/retrieve/pii/S2589537026005377
SN  - 2589-5370
ER  -