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AI: Page 16
Machine learning with echo improves heart tumor diagnosis
By
Amerigo Allegretto
Machine learning can help improve echocardiography interpretation of heart tumors.
July 2, 2024
Large language models help patients understand radiology reports
By
Amerigo Allegretto
Large language models can generate summaries that could help patients better understand their radiology reports.
July 2, 2024
SIIM: How to tackle the challenge of equity in IT, AI
By
Erik L. Ridley
Kadija Ferryman, PhD, of Johns Hopkins in Baltimore discussed new ways to address health equity challenges in IT and AI in the opening general session at SIIM 2024.
June 27, 2024
The PACSman Pontificates: Is radiology ready for AI and vice versa?
By
Michael J. Cannavo
In a new column, Michael J. Cannavo, aka the PACSman, assesses the current readiness of the radiology AI market.
June 26, 2024
ChatGPT can provide patients with radiation protection info
By
Erik L. Ridley
A new study concluded that ChatGPT could provide patients with answers to radiation protection questions, even if it was a little wordy.
June 25, 2024
The deep-learning triple threat transforming medical imaging
By
Kelly Londy
In a new column, Kelly Londy of GE HealthCare describes how radiology AI technology could impact planning, imaging acquisition, and diagnosis.
June 24, 2024
AI certificate program increases knowledge among radiology residents
By
Amerigo Allegretto
An AI certificate course can improve knowledge of the technology for radiology residents.
June 21, 2024
Report: Automation and generative AI will help address 3 critical care gaps
By
Liz Carey
A new report examines three critical gaps in healthcare and breaks out attitudes and trends in current and planned implementation of automation and AI.
June 21, 2024
ChatGPT-4 produces 'near perfect' pancreatic cancer radiology reports
By
Kate Madden Yee
Chat GPT-4 outperforms GPT-3.5 when it comes to creating structured, summarized radiology reports for pancreatic ductal adenocarcinoma (PDAC).
June 18, 2024
Deep-learning model ties muscle quality on CT to TAVI mortality risk
By
Amerigo Allegretto
Deep learning can assess low muscle quality on CT images as a predictive tool of mortality after transcatheter aortic valve implantation (TAVI).
June 18, 2024
AI reduces breast radiologist workload, false-positive cases
By
Amerigo Allegretto
AI reduces breast radiologist workload while also improving screening performance and decreasing the number of false-positive findings, a new study has found.
June 4, 2024
Radiologists can promote health equity with responsible AI use
By
Amerigo Allegretto
An ARRS presentation suggested that achieving health equity with AI in imaging requires overcoming barriers in how the technology analyzes people.
May 29, 2024
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