Robotics & Machine Learning Daily News2024,Issue(Oct.4) :140-141.

Humanitas University Reports Findings in Thyroid Nodules (Development of machine learning models to predict papillary carcinoma in thyroid nodules: The role of immunological, radiologic, cytologic and radiomic features)

Robotics & Machine Learning Daily News2024,Issue(Oct.4) :140-141.

Humanitas University Reports Findings in Thyroid Nodules (Development of machine learning models to predict papillary carcinoma in thyroid nodules: The role of immunological, radiologic, cytologic and radiomic features)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Thyroid Diseases and C onditions-Thyroid Nodules is the subject of a report. According to news report ing from Milan, Italy, by NewsRx journalists, research stated, "Approximately 30 % of thyroid nodules yield an indeterminate diagnosis through con ventional diagnostic strategies. The aim of this study was to develop machine le arning (ML) models capable of identifying papillary thyroid carcinomas using pre operative variables." The news correspondents obtained a quote from the research from Humanitas Univer sity, "Patients with thyroid nodules undergoing thyroid surgery were enrolled in a retrospective monocentric study. Six 2-class supervised ML models were develo ped to predict papillary thyroid carcinoma, by sequentially incorporating clinic al-immunological, ultrasonographic, cytological, and radiomic variables. Out of 186 patients, 92 nodules (49.5 %) were papillary thyroid carcinomas in the histological report. The Area Under the Curve (AUC) ranged from 0.41 to 0.61 using only clinical-immunological variables. All ML models exhibited an inc reased performance when ultrasound variables were included (AUC: 0.95-0.97). The addition of cytological (AUC: 0.86-0.97) and radiomic (AUC: 0.88-0.97) variable s did not further improve ML models' performance. ML algorithms demonstrated low accuracy when trained with clinicalimmunological data."

Key words

Milan/Italy/Europe/Cancer/Carcinomas/Cyborgs/Emerging Technologies/Endocrine Gland Neoplasms/Health and Medicine/Machine Learning/Oncology/Papillary Thyroid Cancer/Thyroid Diseases and Con ditions/Thyroid Neoplasms/Thyroid Nodules

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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