AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Radiology

Showing 61 to 70 of 773 articles

Clear Filters

Use of artificial intelligence and radio genomics in neuroradiology and the future of brain tumour imaging and surgical planning in low- and middleincome countries.

JPMA. The Journal of the Pakistan Medical Association
Brain tumour diagnosis involves assessing various radiological and histopathological parameters. Imaging modalities are an excellent resource for disease monitoring. However, manual inspection of imaging is laborious, and performance varies depending...

Interactive dual-stream contrastive learning for radiology report generation.

Journal of biomedical informatics
Radiology report generation automates diagnostic narrative synthesis from medical imaging data. Current report generation methods primarily employ knowledge graphs for image enhancement, neglecting the interpretability and guiding function of the kno...

ChatGPT and Large Language Models in Radiology: Perspectives From the Field.

AJR. American journal of roentgenology
Generative artificial intelligence (AI) and large language models (LLMs) are increasingly being recognized as tools with the potential to transform many industries, including health care. Implementation and use of these tools among radiologists is li...

Artificial Intelligence in the Training of Radiology Residents: a Multicenter Randomized Controlled Trial.

Journal of cancer education : the official journal of the American Association for Cancer Education
The aim of the present study was to compare the effectiveness of AI-assisted training and conventional human training in clinical practice. This was a multicenter, randomized, controlled clinical trial conducted in five national-level residency train...

Conceptual review of outcome metrics and measures used in clinical evaluation of artificial intelligence in radiology.

La Radiologia medica
Artificial intelligence (AI) has numerous applications in radiology. Clinical research studies to evaluate the AI models are also diverse. Consequently, diverse outcome metrics and measures are employed in the clinical evaluation of AI, presenting a ...

Artificial Intelligence-Generated Editorials in Radiology: Can Expert Editors Detect Them?

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: Artificial intelligence is capable of generating complex texts that may be indistinguishable from those written by humans. We aimed to evaluate the ability of GPT-4 to write radiology editorials and to compare these with human...