AIMC Topic: Retrospective Studies

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Robot-assisted-radical-cystectomy with total intracorporeal Y neobladder: Analysis of postoperative complications and functional outcomes with urodynamics findings.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
OBJECTIVES: To describe our robotic Y intracorporeal neobladder (ICNB) technique and to report its post-operative complications and urodynamics (UD) findings.

Deep diagnostic agent forest (DDAF): A deep learning pathogen recognition system for pneumonia based on CT.

Computers in biology and medicine
BACKGROUND: Even though antibiotics agents are widely used, pneumonia is still one of the most common causes of death around the world. Some severe, fast-spreading pneumonia can even cause huge influence on global economy and life security. In order ...

Living Donor Robot-Assisted Kidney Transplantation: a New Standard of Care?

Current urology reports
PURPOSE OF REVIEW: Robot-assisted kidney transplantation (RAKT) has the potential to combine the advantages of minimally invasive surgery with the best renal replacement treatment. Over the last decade, the results were encouraging, as surgical and f...

Real-time automated diagnosis of colorectal cancer invasion depth using a deep learning model with multimodal data (with video).

Gastrointestinal endoscopy
BACKGROUND AND AIMS: The optical diagnosis of colorectal cancer (CRC) invasion depth with white light (WL) and image-enhanced endoscopy (IEE) remains challenging. We aimed to construct and validate a 2-modal deep learning-based system, incorporated w...

Stand-Alone Use of Artificial Intelligence for Digital Mammography and Digital Breast Tomosynthesis Screening: A Retrospective Evaluation.

Radiology
Background Use of artificial intelligence (AI) as a stand-alone reader for digital mammography (DM) or digital breast tomosynthesis (DBT) breast screening could ease radiologists' workload while maintaining quality. Purpose To retrospectively evaluat...

Joint MRI T1 Unenhancing and Contrast-enhancing Multiple Sclerosis Lesion Segmentation with Deep Learning in OPERA Trials.

Radiology
Background Deep learning-based segmentation could facilitate rapid and reproducible T1 lesion load assessments, which is crucial for disease management in multiple sclerosis (MS). T1 unenhancing and contrast-enhancing lesions in MS are those that enh...

Ureteral Reimplantation for Primary Obstructive Megaureter in Pediatric Patients: Is It Time for Robot-Assisted Approach?

Journal of laparoendoscopic & advanced surgical techniques. Part A
To compare open and robotic approach for treatment of Primary Obstructive Megaureter (POM) in a series of pediatric patients. Medical records of all patients who had undergone ureteral reimplantation for POM at our institution, between January 2016...

Percutaneous Robot-Assisted versus Freehand S Iliosacral Screw Fixation in Unstable Posterior Pelvic Ring Fracture.

Orthopaedic surgery
OBJECTIVES: To assess the efficiency, safety, and accuracy of S (IS) screw fixation using a robot-assisted method compared with a freehand method.

Machine Learning Models Prognosticate Functional Outcomes Better than Clinical Scores in Spontaneous Intracerebral Haemorrhage.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
OBJECTIVE: This study aims to develop and compare the use of deep neural networks (DNN) and support vector machines (SVM) to clinical prognostic scores for prognosticating 30-day mortality and 90-day poor functional outcome (PFO) in spontaneous intra...