Artificial Intelligence Medical Compendium

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

Showing 44,491 to 44,500 of 224,055 articles

Automated detection of new cerebral infarctions and prognostic implications using deep learning on serial MRI.

NPJ digital medicine
We developed and externally validated a deep learning model to automatically detect new ischemic lesions on serial FLAIR MRI scans in patients with stroke. Manual interpretation of follow-up imaging is labor-intensive and variable, and silent brain i... read more 

Deep learning-based histopathological classification and subclassification of benign and malignant salivary gland tumors.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
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Author's response to letter to editor for "Assessing the use of the novel tool Claude 3 in comparison to ChatGPT 4.0 as an artificial intelligence tool in the diagnosis and therapy of primary head and neck cancer cases".

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
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Association of surgical resection with survival in retroperitoneal leiomyosarcoma based on SEER propensity score matching and machine-learning models.

Scientific reports
Retroperitoneal leiomyosarcoma (RLS) is a rare and aggressive subtype of soft tissue sarcoma with limited population-level evidence guiding surgical decision-making. This study aimed to assess the prognostic value of surgery in patients with RLS usin... read more 

Harnessing machine learning to explore influencing mechanism in the dual pro-environmental intention-behavior gap.

Scientific reports
Fostering pro-environmental behaviors (PEBs) is crucial for advancing low-carbon development. A significant obstacle in this endeavor is the intention-behavior gap, where intentions fail to translate into actual behaviors. This study addresses both t... read more 

A noninvasive model for predicting intrahepatic venovenous shunts before HVPG measurement: a multiple cohort study.

Hepatology international
OBJECTIVES: This study aimed to construct a machine learning (ML) model to facilitate non-invasive identification of moderate-to-severe intrahepatic venovenous shunts (MS-IHVS) before hepatic venous pressure gradient (HVPG) measurement. METHODS: A to... read more 

Application of treatment response assessment maps (TRAMs), based on delayed-contrast MRI for radiomic characterization of breast lesions.

Scientific reports
Dynamic contrast-enhanced (DCE) breast MRI is a highly sensitive modality for detecting breast cancer, but its limited specificity often leads to false-positive findings and unnecessary biopsies. Radiomics offers a quantitative approach to improve le... read more 

Human-in-the-loop validation of an artificial intelligence-driven real-time prostatic capsule recognition model for nerve-sparing robot-assisted radical prostatectomy.

Surgical endoscopy
BACKGROUND: Nerve-sparing robot-assisted radical prostatectomy (NS-RARP) requires precise prostatic capsule identification to balance oncological control with functional preservation. Artificial intelligence (AI)-based intraoperative navigation could... read more