AIMC Topic: Treatment Outcome

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Towards realizing the vision of precision medicine: AI based prediction of clinical drug response.

Brain : a journal of neurology
Accurate and individualized prediction of response to therapies is central to precision medicine. However, because of the generally complex and multifaceted nature of clinical drug response, realizing this vision is highly challenging, requiring inte...

The Cost of Robot-assisted Total Hip Arthroplasty: Comparing Safety and Hospital Charges to Conventional Total Hip Arthroplasty.

The Journal of the American Academy of Orthopaedic Surgeons
INTRODUCTION: Utilization of robotic assistance is increasing for total hip arthroplasty (THA). However, few studies have directly examined the efficacy of this technique at reducing complications. This research aims to compare the rates of periopera...

[Single-center experience of robot-assisted laparoscopic nephron-sparing surgery for giant renal hamartoma].

Zhonghua yi xue za zhi
The clinical data of 22 patients with giant renal hamartoma in Zhejiang Provincial People's Hospital who underwent robot-assisted laparoscopic nephron-sparing surgery from October 2014 to January 2020 were retrospectively analyzed. All the patients s...

Creative Approaches for Assessing Long-term Outcomes in Children.

Pediatrics
Advances in new technologies, when incorporated into routine health screening, have tremendous promise to benefit children. The number of health screening tests, many of which have been developed with machine learning or genomics, has exploded. To as...

Machine Learning Algorithms Predict Functional Improvement After Hip Arthroscopy for Femoroacetabular Impingement Syndrome in Athletes.

The Journal of bone and joint surgery. American volume
BACKGROUND: Despite previous reports of improvements for athletes following hip arthroscopy for femoroacetabular impingement syndrome (FAIS), many do not achieve clinically relevant outcomes. The purpose of this study was to develop machine learning ...

Machine Learning-based Prediction Model for Treatment of Acromegaly With First-generation Somatostatin Receptor Ligands.

The Journal of clinical endocrinology and metabolism
CONTEXT: Artificial intelligence (AI), in particular machine learning (ML), may be used to deeply analyze biomarkers of response to first-generation somatostatin receptor ligands (fg-SRLs) in the treatment of acromegaly.

[A comparative study on internal fixation of calcaneal fractures assisted by robot and traditional open reduction internal fixation].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery
OBJECTIVE: To compare the effectiveness of robot assisted internal fixation and traditional open reduction and internal fixation for calcaneal fractures.

[Clinical and morphological assessment of the results of a standard robot-assisted nerve-sparing radical prostatectomy and with the use of Retzius-sparing technique].

Urologiia (Moscow, Russia : 1999)
OBJECTIVE: To compare the perioperative, functional, clinical and morphological results of a standard robot-assisted nerve-sparing radical prostatectomy and with the use of the Retzius-sparing technique.

[Robot-assisted nephroureterectomy requiring no robot redocking or patient repositioning: experience from a single center with 62 cases].

Zhonghua wai ke za zhi [Chinese journal of surgery]
To examine a new technique of robot-assisted nephroureterectomy without robot reldocking or patient repositioning. Patients diagnosed as upper tract urothelial carcinoma treated with this modality between November 2015 and January 2019 at Departmen...