NCT07314853

Brief Summary

The goal of this clinical trial is to learn if using artificial intelligence to guide intravenous fluid therapy during major cancer surgery can help keep blood pressure more stable compared with usual care in adult patients undergoing major cancer surgery. The main questions it aims to answer are:

  • Does artificial intelligence-guided fluid therapy reduce hypotensive events during surgery?
  • Does this approach improve recovery and reduce complications after major cancer surgery? Researchers will compare artificial intelligence-guided fluid therapy with standard fluid management to see if the artificial intelligence-guided approach provides better support during surgery. Participants will:
  • Undergo major cancer surgery under general anesthesia
  • Receive either artificial intelligence-guided fluid management or standard fluid management during surgery
  • Be monitored during and after surgery as part of routine clinical care
  • Be followed after surgery to assess recovery and possible complications

Trial Health

63
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
176

participants targeted

Target at P75+ for not_applicable

Timeline
34mo left

Started Feb 2026

Typical duration for not_applicable

Geographic Reach
1 country

1 active site

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress9%
Feb 2026Feb 2029

First Submitted

Initial submission to the registry

December 18, 2025

Completed
15 days until next milestone

First Posted

Study publicly available on registry

January 2, 2026

Completed
1 month until next milestone

Study Start

First participant enrolled

February 1, 2026

Completed
1 year until next milestone

Primary Completion

Last participant's last visit for primary outcome

February 1, 2027

Expected
2 years until next milestone

Study Completion

Last participant's last visit for all outcomes

February 1, 2029

Last Updated

January 9, 2026

Status Verified

December 1, 2025

Enrollment Period

1 year

First QC Date

December 18, 2025

Last Update Submit

January 7, 2026

Conditions

Keywords

randomized controlled trialcancerfluid balancefluid therapyartificial intelligence

Outcome Measures

Primary Outcomes (1)

  • Intraoperative Hypotension Burden

    The burden of intraoperative hypotension, measured as the time-weighted average (TWA) of intraoperative hypotension, a composite measure that accounts for both the depth and duration of low arterial blood pressure over time. TWA reflects the overall hypotensive burden during surgery by integrating how low blood pressure falls and for how long it remains below predefined thresholds, assessed using continuous invasive blood pressure monitoring

    From induction of anesthesia to the end of surgery

Study Arms (2)

Standard Fluid Management

ACTIVE COMPARATOR

Participants receive intraoperative intravenous fluid therapy managed according to usual clinical practice, without artificial intelligence guidance. Fluid administration is determined by the attending clinician based on standard monitoring and clinical judgment.

Other: Standard fluid management

AI-Assisted Fluid Management

EXPERIMENTAL

Participants assigned to this arm receive intraoperative intravenous fluid therapy supported by an artificial intelligence-based clinical decision support system. The system analyzes real-time hemodynamic data and provides recommendations for fluid administration. Clinicians are strongly encouraged to follow these recommendations but may accept or override them based on clinical judgment.

Other: Artificial Intelligence-Assisted Fluid Management

Interventions

In this intervention, intraoperative intravenous fluid management is supported by an artificial intelligence-based clinical decision support system. The system continuously analyzes real-time hemodynamic data derived from standard intraoperative monitoring and provides recommendations for intravenous fluid administration. Clinicians are strongly encouraged to follow these recommendations but retain full responsibility and may accept or override them based on clinical judgment. The intervention is applied during the intraoperative period only and does not replace standard anesthetic care.

AI-Assisted Fluid Management

In this intervention participants receive intraoperative intravenous fluid therapy managed according to usual clinical practice, without artificial intelligence guidance. Fluid administration is determined by the attending clinician based on standard monitoring and clinical judgment.

Standard Fluid Management

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Age ≥ 18 years
  • American Society of Anesthesiologists (ASA) Physical Status II-IV
  • Undergoing major abdominal oncologic surgery (open or laparoscopic) with an expected duration \>2 hours
  • Planned invasive arterial pressure monitoring
  • Ability to understand and sign informed consent

You may not qualify if:

  • Significant arrhythmias (e.g., persistent atrial fibrillation)
  • Severe aortic stenosis
  • Emergency surgery
  • Sepsis
  • End-stage renal disease on dialysis
  • Pregnancy
  • Impossibility to cannulate the radial artery
  • Refusal to participate or refusal of data processing consent

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

IRCCS Istituto Nazionale Tumori "Fondazione G. Pascale"

Naples, 80100, Italy

Location

MeSH Terms

Conditions

Neoplasms

Central Study Contacts

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
TREATMENT
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

December 18, 2025

First Posted

January 2, 2026

Study Start

February 1, 2026

Primary Completion (Estimated)

February 1, 2027

Study Completion (Estimated)

February 1, 2029

Last Updated

January 9, 2026

Record last verified: 2025-12

Data Sharing

IPD Sharing
Will share

Locations