AI Medical Compendium Journal:
American journal of clinical pathology

Showing 1 to 10 of 29 articles

Residual red blood cells in liquid plasma products: A quality assessment.

American journal of clinical pathology
OBJECTIVES: Liquid plasma (LP) is an increasingly utilized blood product due to its immediate availability for transfusion without requiring thawing. While concerns exist regarding the presence of intact residual red blood cells (RBCs) in plasma prod...

Using Machine Learning to Predict Laboratory Test Results.

American journal of clinical pathology
OBJECTIVES: While clinical laboratories report most test results as individual numbers, findings, or observations, clinical diagnosis usually relies on the results of multiple tests. Clinical decision support that integrates multiple elements of labo...

Bridging the gap: Evaluating ChatGPT-generated, personalized, patient-centered prostate biopsy reports.

American journal of clinical pathology
OBJECTIVE: The highly specialized language used in prostate biopsy pathology reports coupled with low rates of health literacy leave some patients unable to comprehend their medical information. Patients' use of online search engines can lead to misi...

Potential roles for artificial intelligence in clinical microbiology from improved diagnostic accuracy to solving the staffing crisis.

American journal of clinical pathology
OBJECTIVES: This review summarizes the current and potential uses of artificial intelligence (AI) in the current state of clinical microbiology with a focus on replacement of labor-intensive tasks.

Measuring the operational performance of an artificial intelligence-based blood tube-labeling robot, NESLI.

American journal of clinical pathology
OBJECTIVES: Laboratory testing, crucial for medical diagnosis, has 3 phases: preanalytical, analytical, and postanalytical. This study set out to demonstrate whether automating tube labeling through artificial intelligence (AI) support enhances effic...

A survey analysis of the adoption of large language models among pathologists.

American journal of clinical pathology
OBJECTIVES: We sought to investigate the adoption and perception of large language model (LLM) applications among pathologists.

Thinking like a pathologist: Morphologic approach to hepatobiliary tumors by ChatGPT.

American journal of clinical pathology
OBJECTIVES: This research aimed to evaluate the effectiveness of ChatGPT in accurately diagnosing hepatobiliary tumors using histopathologic images.

Early identification of patients at risk for iron-deficiency anemia using deep learning techniques.

American journal of clinical pathology
OBJECTIVES: Iron-deficiency anemia (IDA) is a common health problem worldwide, and up to 10% of adult patients with incidental IDA may have gastrointestinal cancer. A diagnosis of IDA can be established through a combination of laboratory tests, but ...

Comparative analysis of ChatGPT and Bard in answering pathology examination questions requiring image interpretation.

American journal of clinical pathology
OBJECTIVES: To evaluate the accuracy of ChatGPT and Bard in answering pathology examination questions requiring image interpretation.

Artificial intelligence-based algorithms for the diagnosis of prostate cancer: A systematic review.

American journal of clinical pathology
OBJECTIVES: The high incidence of prostate cancer causes prostatic samples to significantly affect pathology laboratories workflow and turnaround times (TATs). Whole-slide imaging (WSI) and artificial intelligence (AI) have both gained approval for p...