AIMC Topic: Watchful Waiting
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Predicting outcomes of expectant and medical management in early pregnancy miscarriage using machine learning to develop and validate multivariable clinical prediction models.
BMC pregnancy and childbirth
Feb 28, 2025
OBJECTIVE: To determine whether readily available patient, ultrasound and treatment outcome data can be used to develop, validate and externally test two machine learning (ML) models for predicting the success of expectant and medical management of m...
Redefining prostate cancer care: innovations and future directions in active surveillance.
Current opinion in urology
Feb 17, 2025
PURPOSE OF REVIEW: This review provides a critical analysis of recent advancements in active surveillance (AS), emphasizing updates from major international guidelines and their implications for clinical practice.
Enhancing decision-making in tubal ectopic pregnancy using a machine learning approach to expectant management: a clinical article.
BMC pregnancy and childbirth
Dec 19, 2024
OBJECTIVE: To refine decision-making regarding expectant management for ectopic pregnancy (EP) using machine learning.
Artificial intelligence for detection of prostate cancer in biopsies during active surveillance.
BJU international
Jul 4, 2024
OBJECTIVES: To evaluate a cancer detecting artificial intelligence (AI) algorithm on serial biopsies in patients with prostate cancer on active surveillance (AS).
Prostate MRI and artificial intelligence during active surveillance: should we jump on the bandwagon?
European radiology
Jun 27, 2024
OBJECTIVE: To review the components of past and present active surveillance (AS) protocols, provide an overview of the current studies employing artificial intelligence (AI) in AS of prostate cancer, discuss the current challenges of AI in AS, and of...
Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trials.
Cancer imaging : the official publication of the International Cancer Imaging Society
Apr 5, 2024
BACKGROUND: Ductal Carcinoma In Situ (DCIS) can progress to invasive breast cancer, but most DCIS lesions never will. Therefore, four clinical trials (COMET, LORIS, LORETTA, AND LORD) test whether active surveillance for women with low-risk Ductal ca...
The use of deep learning on endoscopic images to assess the response of rectal cancer after chemoradiation.
Surgical endoscopy
Oct 12, 2021
BACKGROUND: Accurate response evaluation is necessary to select complete responders (CRs) for a watch-and-wait approach. Deep learning may aid in this process, but so far has never been evaluated for this purpose. The aim was to evaluate the accuracy...
The impact of age on pathological insignificant prostate cancer rates in contemporary robot-assisted prostatectomy patients despite active surveillance eligibility.
Minerva urology and nephrology
Apr 22, 2021
BACKGROUND: The aim of this study was to assess insignificant prostate cancer (iPCa) rates after robot-assisted radical prostatectomy (RARP) in contemporary patients who were preoperatively eligible for active surveillance (AS). iPCa indicates no ris...
Endoscopic Surveillance of Barrett's Esophagus Using Volumetric Laser Endomicroscopy With Artificial Intelligence Image Enhancement.
Gastroenterology
May 9, 2019
Pathologic Outcomes of Candidates for Active Surveillance Undergoing Radical Prostatectomy: Results from a Contemporary Turkish Patient Cohort.
Urologia internationalis
Dec 22, 2017
INTRODUCTION: To evaluate the pathological outcomes of Turkish men meeting the criteria for Active Surveillance (AS), who elected to undergo immediate radical prostatectomy (RP).
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