Diagnostic performance of artificial intelligence in interpreting ...

The findings advocate for the integration of AI into clinical settings to enhance the diagnostic accuracy of radiologists in assessing ...

Diagnostic performance of artificial intelligence in interpreting ... - NCBI

With a sensitivity of 80.0%, specificity of 71.4%, and overall accuracy of 75.0%, our AI system has shown promising results in differentiating ...

nodule assessment, improving automation and accuracy. ... boost in our thyroid nodule classification metrics. ... view/10.21037/qims-23-1650/rc). ... data and ...

Diagnostic Performance of Artificial Intelligence for Interpreting ...

The AI showed comparable diagnostic sensitivity and specificity to the experienced radiologist and the resident (p=0.187-0.855).

(PDF) Diagnostic performance of artificial intelligence in interpreting ...

of interest; YOLO, You Only Look Once. Input ROI. segmentation. YOLO. Thyroid ...

Diagnostic Performance of Artificial Intelligence for Interpreting ...

Diagnostic Performance of Artificial Intelligence for Interpreting Thyroid Cancer in Ultrasound images: 10.4018/IJKSS.309431: Thyroid ultrasonography is ...

Diagnostic performance of artificial intelligence approved for adults ...

In conclusion, AI-based software developed with adult chest radiographs showed diagnostic accuracies up to 96.9% for pediatric chest radiographs ...

Diagnostic Performance of Artificial Intelligence for Interpreting ...

Arunrukthavon, Piyanuch ; Songsaeng, Dittapong ; Keatmanee, Chadaporn et al. / Diagnostic Performance of Artificial Intelligence for ...

Diagnostic performance with and without artificial intelligence ...

Diagnostic performances of the radiologists did not significantly differ with and without AI-CAD assistance. Radiologists with AI-CAD assistance showed the same ...

AI in diagnostic imaging: Revolutionising accuracy and efficiency

AI has the potential to enhance accuracy and efficiency of interpreting medical images like X-rays, MRIs, and CT scans.

Evaluation of the impact of artificial intelligence-assisted image ...

While overall interpretation time remained unchanged, the use of AI improved diagnostic confidence and sensitivity, especially among junior clinicians. These ...

Does AI Help or Hurt Human Radiologists' Performance? It Depends ...

But the benefits of using AI tools on image interpretation appear to vary from clinician to clinician, according to new research led by ...

Diagnostic performance of artificial intelligence approved for adults ...

In conclusion, AI-based software developed with adult chest radiographs showed diagnostic accuracies up to 96.9% for pediatric chest radiographs when we ...

Evaluation of physician performance using a concurrent-read ...

The concurrent-read AI system improves the diagnostic performance in detecting and diagnosing breast lesions on breast ultrasound images.

Diagnostic performance of artificial intelligence-assisted PET ...

Artificial intelligence (AI)-assisted PET imaging is emerging as a promising tool for the diagnosis of Parkinson's disease (PD).

Generalizability and Diagnostic Performance of AI Models for ...

The AI model outperformed all senior and junior radiologists (P < .05 for all comparisons), and the diagnostic accuracies of all radiologists ...

Diagnostic Performance of Artificial Intelligence-Based Computer ...

Most of the included studies reported AI-based CAD model performances of at least 0.83 (AUC), 0.84 (sensitivity), 0.80 (specificity), 0.89 (PPV) ...

Association of Clinician Diagnostic Performance With Machine ...

Findings In this systematic review of 37 studies, no robust evidence was found to suggest an association between the use of machine learning– ...

Diagnostic Performance of Artificial Intelligence for Interpreting ...

Therefore, artificial intelligence (AI) was expected to improve the diagnostic performance of thyroid ultrasound. ... Although the specificity and accuracy were ...

A systematic review and meta-analysis of diagnostic performance ...

Artificial intelligence (AI) holds great promise and has been used in clinical practice in recent years (14,15). One example is AI-assisted diagnostic ...