2023 AI Preview: Page 2

AI sharply reduces radiologist reading times on chest CT
By Liz Carey
With help from an AI algorithm, radiologists can detect and classify lung nodules on routine clinical chest CT exams faster and more effectively, according to this new study.
November 8, 2023
Can AI opportunistically detect gastric cancer on noncontrast CT?
By Liz Carey
This gastrointestinal imaging-related session will discuss the effectiveness of using an AI model in combination with noncontrast CT exams for the detection of gastric cancer tumors.
November 8, 2023
AI methods improve detection of Parkinson’s disease
By Erik L. Ridley
A systematic review has found that machine-learning and deep-learning techniques are highly sensitive and specific for detecting Parkinson’s disease on dopamine transporter SPECT exams.
November 8, 2023
Large language-image model segments organs, detects cancer
By Erik L. Ridley
In this presentation, researchers will share how large language-image models can automatically segment 25 abdominal organs on CT exams and detect six tumor types.
November 8, 2023
Generative AI enables patient-specific THA surgical templating
By Erik L. Ridley
Generative AI technology shows potential for making surgical planning for total hip arthroplasty (THA) more efficient.
November 8, 2023
How multiple -omics merge to predict Gleason grading
By Liz Carey
A new multiomics machine learning model may perform better for the prediction of Gleason grading than current methods used to determine the prognosis and management of prostate cancer, according to this scientific paper.
November 8, 2023
AI highlights clinically significant prostate cancer on MRI
By Liz Carey
This session features an update on research toward clinical translation of AI in detecting clinically significant prostate cancer on MRI.
November 8, 2023
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