AIMC Topic: Humans

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Verification of delay time and image compression thresholds for telesurgery.

Asian journal of endoscopic surgery
INTRODUCTION: Telerobotic surgery relies on communication lines, causing delays, and video information requires pre-transmission compression. Such delays and video degradation will continue to be unavoidable making communication conditions verificati...

Radiation therapist perceptions on how artificial intelligence may affect their role and practice.

Journal of medical radiation sciences
INTRODUCTION: The use of artificial intelligence (AI) has increased in medical radiation science, with advanced computing and modelling. Considering radiation therapists (RTs) perceptions of how this may affect their role is imperative, as this will ...

Correlation between extended pelvic lymph node dissection and urinary incontinence at early phase after robot-assisted radical prostatectomy.

International journal of urology : official journal of the Japanese Urological Association
OBJECTIVES: To investigate the impact of extended pelvic lymph node dissection (ePLND) on urinary incontinence (UI) at early post-surgery robot-assisted radical prostatectomy (RARP).

Robotic-assisted foregut surgery is associated with lower rates of complication and shorter post-operative length of stay.

Surgical endoscopy
BACKGROUND: Two of the most common foregut operations are laparoscopic Heller myotomy and laparoscopic Nissen fundoplication. Robotic assistance, compared to standard laparoscopic approach, may potentially grant surgeons advantages such as enhanced v...

Adaptative damping assistance in bimanual laparoscopic surgery.

International journal of computer assisted radiology and surgery
PURPOSE: Laparoscopic surgery has demonstrated various advantages for the patients' care, but also presents some difficulties for the surgeons, such as kinematic restrictions. Robotic comanipulation, in which control of instruments is shared between ...

Fully automated cardiac MRI segmentation using dilated residual network.

Medical physics
PURPOSE: Cardiac ventricle segmentation from cine magnetic resonance imaging (CMRI) is a recognized modality for the noninvasive assessment of cardiovascular pathologies. Deep learning based algorithms achieved state-of-the-art result performance fro...

Stature estimation by semi-automatic measurements of 3D CT images of the femur.

International journal of legal medicine
Stature estimation is one of the most basic and important methods of personal identification. The long bones of the limbs provide the most accurate stature estimation, with the femur being one of the most useful. In all the previously reported method...

Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts.

The Lancet. Digital health
BACKGROUND: Endometrial cancer can be molecularly classified into POLE, mismatch repair deficient (MMRd), p53 abnormal (p53abn), and no specific molecular profile (NSMP) subgroups. We aimed to develop an interpretable deep learning pipeline for whole...