Artificial Intelligence-Powered Comprehensive Framework Develops a Survival Assessment System by Multicenter Integration for Advanced Heart Failure with Renal Dysfunction

Research context and source limits

Limited evidence note. Only the source material identified below has been reviewed; this is not a complete Paper GEO V2 assessment.

Preprint-specific identity and research context; the original manuscript and any later-version relationship remain unverified.

Preprint record

This 2023 SSRN deposit lists ten authors, beginning with Ge Zhang and ending with Junnan Tang. Crossref classifies it as posted content.

Source: Crossref DOI deposit: title, authors, posted-content type, publication date and relation fields.

Research question in the title

The title frames a survival-assessment system for advanced heart failure with renal dysfunction, using an artificial-intelligence framework and multicentre integration. The preprint-specific cohorts, model development, validation, calibration, and clinical impact cannot be established from the metadata available here.

Source: Crossref DOI deposit: title, authors, posted-content type, publication date and relation fields.

Version boundary

The current deposit contains no explicit later-article relationship. This record remains an independent preprint entry; absence of a deposited link does not prove that no later publication exists.

Source: Crossref DOI deposit: title, authors, posted-content type, publication date and relation fields.

Evidence limits

• The dated original manuscript, methods, figures and supplements are needed for complete scientific review. No formal version relationship has been established.

Provenance

• DOI deposit — Official Crossref metadata, not a manuscript. message.title; message.type; message.subtype; message.author[0:10]; message.published

Source review: 2026-10-27.

Verify publication identity

These records identify the same original work; database inclusion is not evidence of scientific validity or clinical benefit.