AIMC Topic: Male

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[Artificial intelligence and radiomics in MRI-based prostate diagnostics].

Der Radiologe
CLINICAL/METHODICAL ISSUE: In view of the diagnostic complexity and the large number of examinations, modern radiology is challenged to identify clinically significant prostate cancer (PCa) with high sensitivity and specificity. Meanwhile overdiagnos...

Keratinocytic Skin Cancer Detection on the Face Using Region-Based Convolutional Neural Network.

JAMA dermatology
IMPORTANCE: Detection of cutaneous cancer on the face using deep-learning algorithms has been challenging because various anatomic structures create curves and shades that confuse the algorithm and can potentially lead to false-positive results.

Robot-assisted radical prostatectomy vs. open radical prostatectomy: latest evidences on perioperative, functional and oncological outcomes.

Current opinion in urology
PURPOSE OF REVIEW: Despite increasing use of robotic surgery for radical prostatectomy, the benefit of robotic over open approach on different postoperative outcomes is still under debate. The present review aimed to provide a framework on the latest...

Imputation and characterization of uncoded self-harm in major mental illness using machine learning.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: We aimed to impute uncoded self-harm in administrative claims data of individuals with major mental illness (MMI), characterize self-harm incidence, and identify factors associated with coding bias.

Machine Learning by Ultrasonography for Genetic Risk Stratification of Thyroid Nodules.

JAMA otolaryngology-- head & neck surgery
IMPORTANCE: Thyroid nodules are common incidental findings. Ultrasonography and molecular testing can be used to assess risk of malignant neoplasm.

Prediction of Sex-Specific Suicide Risk Using Machine Learning and Single-Payer Health Care Registry Data From Denmark.

JAMA psychiatry
IMPORTANCE: Suicide is a public health problem, with multiple causes that are poorly understood. The increased focus on combining health care data with machine-learning approaches in psychiatry may help advance the understanding of suicide risk.

Derivation and validation of a machine learning record linkage algorithm between emergency medical services and the emergency department.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Linking emergency medical services (EMS) electronic patient care reports (ePCRs) to emergency department (ED) records can provide clinicians access to vital information that can alter management. It can also create rich databases for resea...

Technology-Based Objective Measures Detect Subclinical Axial Signs in Untreated, de novo Parkinson's Disease.

Journal of Parkinson's disease
BACKGROUND: Technology-based objective measures (TOMs) recently gained relevance to support clinicians in the assessment of motor function in Parkinson's disease (PD), although limited data are available in the early phases.

Facial Recognition Neural Networks Confirm Success of Facial Feminization Surgery.

Plastic and reconstructive surgery
BACKGROUND: Male-to-female transgender patients desire to be identified, and treated, as female, in public and social settings. Facial feminization surgery entails a combination of highly visible changes in facial features. To study the effectiveness...