Background Artificial intelligence (AI) has emerged as a promising and transformative tool in
the field of urinalysis, offering substantial potential for advancements in disease diagnosis …

Verification of laboratory test results represents the last opportunity to identify errors before
they become part of the electronic medical record. Manual verification of test results places …

Detection of hemoglobin (Hb) and red blood cells in urine (hematuria) is characterized by a
large number of pitfalls. Clinicians and laboratory specialists must be aware of these pitfalls …

Objectives Urinary test strip and sediment analysis integrated with intelligent verification
criteria can help to select samples that need manual review. This study aimed to evaluate …

Background The autoverification system for coagulation consists of a series of rules that
allow normal data to be released without manual verification. With new advances in medical …

Background Although laboratory information system (LIS) is widely used nowadays, the
results of routine urinalysis still need 100% manual verification. We established intelligent …

Background Validation of the autoverification function is one of the critical steps to confirm its
effectiveness before use. It is crucial to verify whether the programmed algorithm follows the …

El examen general de orina (EGO) tiene gran relevancia clínica ya que es muy utilizado
para diagnosticar enfermedades renales o ajenas a ella, dado su importancia conforme ha …

Abstract Background In 2014, the Department of Clinical Pathology, Faculty of Medicine
Siriraj Hospital, Mahidol University, Bangkok, Thailand developed and implemented a new …

Background The use of phase contrast in urinalysis has been highly recommended. A new
system, sediMAX conTRUST PRO, is now available providing simultaneous automated …