AI Medical Compendium Topic:
Treatment Outcome

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Development and validation of outcome prediction model for reperfusion therapy in acute ischemic stroke using nomogram and machine learning.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
OBJECTIVE: To develop logistic regression nomogram and machine learning (ML)-based models to predict 3-month unfavorable functional outcome for acute ischemic stroke (AIS) patients undergoing reperfusion therapy.

Urinary Symptoms Change and Quality of Life After Robotic Radical Prostatectomy: A Secondary Analysis of a Randomized Controlled Trial.

Urology
OBJECTIVE: To present the patient-reported quality of life (QoL) outcomes from a prospective, randomized controlled trial comparing the use of pelvic floor muscle training (PFMT) and duloxetine after robot-assisted radical prostatectomy (RARP).

Robotic beyond total mesorectal excision (TME) for locally advanced or recurrent rectal cancer: a systematic review protocol.

BMJ open
INTRODUCTION: The surgical treatment for locally advanced or recurrent rectal cancer requires oncological clearance with a pelvic exenteration or a beyond total mesorectal excision (TME). The aim of this systematic review is to explore the safety and...

Efficacy of stereotactic body radiotherapy and response prediction using artificial intelligence in oligometastatic gynaecologic cancer.

Gynecologic oncology
PURPOSE: We present a large real-world multicentric dataset of ovarian, uterine and cervical oligometastatic lesions treated with SBRT exploring efficacy and clinical outcomes. In addition, an exploratory machine learning analysis was performed.

Single incision robotic cystectomy and urinary diversion.

World journal of urology
PURPOSE: In this review, we aim to provide readers with a balanced understanding of all aspects of single incision robotic cystectomy (SIRC) and urinary diversion using the single-port (SP) robot. The review will trace the historical progression from...

A deep learning quantification of patient specificity as a predictor of session attendance and treatment response to internet-enabled cognitive behavioural therapy for common mental health disorders.

Journal of affective disorders
BACKGROUND: Increasing an individual's ability to focus on concrete, specific detail, thus reducing the tendency toward overly broad, decontextualised generalisations about the self and world, is a target within cognitive behavioural therapy (CBT). H...

A physics-informed deep learning framework for modeling of coronary in-stent restenosis.

Biomechanics and modeling in mechanobiology
Machine learning (ML) techniques have shown great potential in cardiovascular surgery, including real-time stenosis recognition, detection of stented coronary anomalies, and prediction of in-stent restenosis (ISR). However, estimating neointima evolu...

Comparing robotic with laparoscopic beyond total mesorectal excision for advanced rectal cancer-a propensity-matched analysis.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland
AIM: Robotic surgery is increasingly being used for rectal resection, with short-term benefits such as reduced hospital stay, faster bowel recovery and fewer complications. However, its utility for advanced rectal cancers requiring beyond total mesor...

Percutaneous nephrolithotomy guided by 5G-powered robot-assisted teleultrasound diagnosis system: first clinical experience with a novel tele-assistance approach (IDEAL stage 1).

BMC urology
BACKGROUND: To demonstrate the technical feasibility of percutaneous nephrolithotomy (PCNL) guided by 5G-powered robot-assisted teleultrasound diagnosis system (RTDS) in a complex kidney-stone (CKS) cohort and present our preliminary outcomes. PCNL i...