Development of a Prediction System for Analgesic Effects and Diaphragmatic Paralysis of Brachial Plexus Block Using Artificial Intelligence

Development of a Prediction System for Analgesic Effects and Diaphragmatic Paralysis of Brachial Plexus Block Using Artificial Intelligence - Development of a Prediction System for Analgesic Effects and Diaphragmatic Paralysis of Brachial Plexus Block Using Artificial Intelligence

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

JPRN

Registry ID

JPRN-UMIN000043764

Enrollment

200

Registered

2021-04-01

Start date

2021-04-01

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Rotator cuff tear

Interventions

Preoperative and postoperative ultrasonography to diagnose diaphragmatic paralysis.

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients undergoing rotator cuff tear surgery with brachial plexus block

Exclusion criteria

Exclusion criteria: Patients with respiratory dysfunction or asthma Patients with anatomical abnormalities in the upper limbs Patients who did not give consent for the study Cases in which the operation time exceeds 4 hours Patients undergoing emergency surgery Patients with preoperative diaphragmatic paralysis

Design outcomes

Primary

Measure	Time frame
Prediction accuracy (sensitivity, specificity, and area under the curve) of postoperative analgesic effect and presence of diaphragmatic paralysis (sensitivity, specificity, and prediction accuracy) in the created system.	—

Countries

Japan

Contacts

Public ContactMasahiro Kuroki

Yamagata University Faculty of Medicine Department of Anesthesiology

m_kuroki@med.id.yamagata-u.ac.jp023-628-5400

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026