AIMC Topic: Humans

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Feasibility and safety of the da Vinci Xi surgical robot for transoral robotic surgery.

Journal of robotic surgery
The collective experience supporting the safety and efficacy of transoral robotic surgery continues to grow. The surgical robot da Vinci Xi has been used successfully off-label for head and neck surgery, including transoral robotic surgery. We evalua...

Intraoperative Detection of Surgical Gauze Using Deep Convolutional Neural Network.

Annals of biomedical engineering
During laparoscopic surgery, surgical gauze is usually inserted into the body cavity to help achieve hemostasis. Retention of surgical gauze in the body cavity may necessitate reoperation and increase surgical risk. Using deep learning technology, th...

A pilot study of deep learning-based CT volumetry for traumatic hemothorax.

Emergency radiology
PURPOSE: We employ nnU-Net, a state-of-the-art self-configuring deep learning-based semantic segmentation method for quantitative visualization of hemothorax (HTX) in trauma patients, and assess performance using a combination of overlap and volume-b...

Multiple instance convolutional neural network for gallbladder assessment from laparoscopic images.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: We present an artificial intelligence framework for vascularity classification of the gallbladder (GB) wall from intraoperative images of laparoscopic cholecystectomy (LC).

Variations in Opioid Use Following Robotic Radical Prostatectomy in South Florida.

Journal of endourology
Opioid dependency has been a persistent issue in the United States over the past two decades. Increased efforts have been made to reduce opioid prescribing. Our objective was to quantify at-home opioid requirements following radical prostatectomy. ...

Exploring machine learning for audio-based respiratory condition screening: A concise review of databases, methods, and open issues.

Experimental biology and medicine (Maywood, N.J.)
Auscultation plays an important role in the clinic, and the research community has been exploring machine learning (ML) to enable remote and automatic auscultation for respiratory condition screening via sounds. To give the big picture of what is goi...

Robust automated prediction of the revised Vienna Classification in colonoscopy using deep learning: development and initial external validation.

Journal of gastroenterology
BACKGROUND: Improved optical diagnostic technology is needed that can be used by also outside expert centers. Hence, we developed an artificial intelligence (AI) system that automatically and robustly predicts the pathological diagnosis based on the ...

Attention-based generative adversarial network in medical imaging: A narrative review.

Computers in biology and medicine
As a popular probabilistic generative model, generative adversarial network (GAN) has been successfully used not only in natural image processing, but also in medical image analysis and computer-aided diagnosis. Despite the various advantages, the ap...