AIMC Topic: Humans

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Deep Learning for Detecting Pneumothorax on Chest Radiographs after Needle Biopsy: Clinical Implementation.

Radiology
Background Accurate detection of pneumothorax on chest radiographs, the most common complication of percutaneous transthoracic needle biopsies (PTNBs), is not always easy in practice. A computer-aided detection (CAD) system may help detect pneumothor...

Extent of pelvic lymph node dissection improves early oncological outcomes for patients with high-risk prostate cancer without lymph node involvement after robot-assisted radical prostatectomy.

International journal of clinical oncology
BACKGROUND: We investigated the effect of the extent of pelvic lymph node dissection (LND) on biochemical recurrence (BCR) in patients with prostate cancer (PCa) without lymph node involvement (LNI) treated with robot-assisted radical prostatectomy (...

Articulation is essential: First in cardiovascular surgery implementation of 360° surgeon-powered robotic instruments.

Journal of cardiac surgery
Since the development of endoscopic vision in the late 1970s, the implementation of minimally invasive surgical methods has been rapidly progressing throughout a wide range of surgical disciplines, including cardiovascular surgery. The benefits of mi...

A feasible method to evaluate deformable image registration with deep learning-based segmentation.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
PURPOSE: We have developed a feasible method to evaluate deformable image registration using deep learning (DL)-based segmentation.

A multiple testing framework for diagnostic accuracy studies with co-primary endpoints.

Statistics in medicine
Major advances have been made regarding the utilization of machine learning techniques for disease diagnosis and prognosis based on complex and high-dimensional data. Despite all justified enthusiasm, overoptimistic assessments of predictive performa...

Robot System Assistant (RoSA): Towards Intuitive Multi-Modal and Multi-Device Human-Robot Interaction.

Sensors (Basel, Switzerland)
This paper presents an implementation of RoSA, a Robot System Assistant, for safe and intuitive human-machine interaction. The interaction modalities were chosen and previously reviewed using a Wizard of Oz study emphasizing a strong propensity for s...

Development and validation of a machine learning method to predict intraoperative red blood cell transfusions in cardiothoracic surgery.

Scientific reports
Accurately predicting red blood cell (RBC) transfusion requirements in cardiothoracic (CT) surgery could improve blood inventory management and be used as a surrogate marker for assessing hemorrhage risk preoperatively. We developed a machine learnin...

A self-supervised domain-general learning framework for human ventral stream representation.

Nature communications
Anterior regions of the ventral visual stream encode substantial information about object categories. Are top-down category-level forces critical for arriving at this representation, or can this representation be formed purely through domain-general ...