AIMC Topic: Male

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Identification of Patients With Metastatic Prostate Cancer With Natural Language Processing and Machine Learning.

JCO clinical cancer informatics
PURPOSE: Understanding treatment patterns and effectiveness for patients with metastatic prostate cancer (mPCa) is dependent on accurate assessment of metastatic status. The objective was to develop a natural language processing (NLP) model for ident...

Artificial Intelligence-Based Identification of Normal Chest Radiographs: A Simulation Study in a Multicenter Health Screening Cohort.

Korean journal of radiology
OBJECTIVE: This study aimed to investigate the feasibility of using artificial intelligence (AI) to identify normal chest radiography (CXR) from the worklist of radiologists in a health-screening environment.

Feasibility of Deep Learning-Based Analysis of Auscultation for Screening Significant Stenosis of Native Arteriovenous Fistula for Hemodialysis Requiring Angioplasty.

Korean journal of radiology
OBJECTIVE: To investigate the feasibility of using a deep learning-based analysis of auscultation data to predict significant stenosis of arteriovenous fistulas (AVF) in patients undergoing hemodialysis requiring percutaneous transluminal angioplasty...

Development and Validation of a Deep Learning Model for Predicting Treatment Response in Patients With Newly Diagnosed Epilepsy.

JAMA neurology
IMPORTANCE: Selection of antiseizure medications (ASMs) for epilepsy remains largely a trial-and-error approach. Under this approach, many patients have to endure sequential trials of ineffective treatments until the "right drugs" are prescribed.

Single-Port Robotic Radical Prostatectomy: Short-Term Outcomes and Learning Curve.

Journal of endourology
In 2018, the U.S. Food and Drug Administration approved the da Vinci single-port (SP) system, in which four instruments are still utilized, but enter through a single-site access trocar. Herein, we report the largest case series for SP robot-assiste...

Prostate Cancer Risk Prediction and Online Calculation Based on Machine Learning Algorithm.

Chinese medical sciences journal = Chung-kuo i hsueh k'o hsueh tsa chih
Objective To build a prostate cancer (PCa) risk prediction model based on common clinical indicators to provide a theoretical basis for the diagnosis and treatment of PCa and to evaluate the value of artificial intelligence (AI) technology under heal...

Pilot study of an artificial intelligence-based deep learning algorithm to predict time to castration-resistant prostate cancer for metastatic hormone-naïve prostate cancer.

Japanese journal of clinical oncology
The object in this study is to develop an artificial intelligence-based deep learning algorithm for prediction of time to castration-resistant prostate cancer by combined androgen blockade therapy in metastatic hormone-naïve prostate cancer. We inclu...

Impact of artificial intelligence on pathologists' decisions: an experiment.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: The accuracy of artificial intelligence (AI) in medicine and in pathology in particular has made major progress but little is known on how much these algorithms will influence pathologists' decisions in practice. The objective of this pape...

Robotic Kidney Transplantation Under Regional Hypothermia.

Journal of endourology
The technique of robotic kidney transplantation (RKT) under regional hypothermia is being described. It may be performed in all patients requiring kidney transplantation with some relative contraindications. Unlike open transplantation, RKT is a tran...