Surgery

GP-VLS: A general-purpose vision language model for surgery

Surgery requires comprehensive medical knowledge, visual assessment skills, and procedural expertise. While recent surgical AI models have focused on solving task-specific problems, there is a need for general-purpose systems that can understand surgical scenes and interact through natural language. This paper introduces GP-VLS, a general-purpose vision language model for surgery that integrates...

HRP: Human Affordances for Robotic Pre-Training

In order to *generalize* to various tasks in the wild, robotic agents will need a suitable representation (i.e., vision network) that enables the robot to predict optimal actions given high dimensional vision inputs. However, learning such a representation requires an extreme amount of diverse training data, which is prohibitively expensive to collect on a real robot. How can we overcome this pr...

Optimizing Robotic Manipulation with Decision-RWKV: A Recurrent Sequence Modeling Approach for Lifelong Learning

Models based on the Transformer architecture have seen widespread application across fields such as natural language processing, computer vision, an...

Transfer learning for cross-context prediction of protein expression from 5'UTR sequence.

Model-guided DNA sequence design can accelerate the reprogramming of living cells. It allows us to engineer more complex biological systems by removin...

PPCRKB: a risk factor knowledge base of postoperative pulmonary complications.

Postoperative pulmonary complications (PPCs) are highly heterogeneous disorders with diverse risk factors frequently occurring after surgical interven...

Research on predicting hematoma expansion in spontaneous intracerebral hemorrhage based on deep features of the VGG-19 network.

PURPOSE: To construct a clinical noncontrastive computed tomography (NCCT) deep learning joint model for predicting early hematoma expansion (HE) afte...

Monocular pose estimation of articulated surgical instruments in open surgery

This work presents a novel approach to monocular 6D pose estimation of surgical instruments in open surgery, addressing challenges such as object ar...

The Growing Role of Artificial Intelligence and Technology in Hip and Knee Arthroplasty.

Artificial intelligence and technology have continued to evolve over recent decades, and their utility in hip and knee arthroplasty is growing with in...

An Adaptive Indoor Localization Approach Using WiFi RSSI Fingerprinting with SLAM-Enabled Robotic Platform and Deep Neural Networks

Indoor localization plays a vital role in the era of the IoT and robotics, with WiFi technology being a prominent choice due to its ubiquity. We pre...

Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object Search

In this paper, we address a recent trend in robotic home appliances to include vision systems on personal devices, capable of personalizing the appl...

An efficient pipeline to compute patient-specific cerebral aneurysm wall tension

Cerebral aneurysm rupture, leading to subarachnoid hemorrhage with a high mortality rate, disproportionately affects younger populations, resulting ...

Prediction of Occult Hemorrhage in the Lower Body Negative Pressure Model: Initial Validation of Machine Learning Approaches.

INTRODUCTION: Detection of occult hemorrhage (OH) before progression to clinically apparent changes in vital signs remains an important clinical probl...

SeqMate: A Novel Large Language Model Pipeline for Automating RNA Sequencing

RNA sequencing techniques, like bulk RNA-seq and Single Cell (sc) RNA-seq, are critical tools for the biologist looking to analyze the genetic activ...

Robot-assisted distal gastrectomy and local resection for gastric cancer and gastrointestinal stromal tumor.

Gastrointestinal stromal tumors surrounding the esophagogastric junction are often challenging to resect, with no consensus regarding the optimal surg...

A case of robot-assisted resection for cecum cancer with anomalous venous confluence.

There are many reports on the positional relationship between the ileocolic artery and superior mesenteric vein (SMV). However, there have been no rep...

Impact of Transfer Learning Using Local Data on Performance of a Deep Learning Model for Screening Mammography.

Purpose To investigate the issues of generalizability and replication of deep learning models by assessing performance of a screening mammography deep...

Improving Automated Hemorrhage Detection at Sparse-View CT via U-Net-based Artifact Reduction.

Purpose To explore the potential benefits of deep learning-based artifact reduction in sparse-view cranial CT scans and its impact on automated hemorr...

Teleoperated Navigation of a Robotically Steerable Guidewire under Fluoroscopy in a Flow Environment.

A chronic total occlusion (CTO) is a complete blockage that impedes blood flow in the coronary artery. Minimally invasive procedures for treating CTOs...

A Feasible Workflow for Retinal Vein Cannulation in Ex Vivo Porcine Eyes with Robotic Assistance.

A potential Retinal Vein Occlusion (RVO) treatment involves Retinal Vein Cannulation (RVC), which requires the surgeon to insert a microneedle into th...

Detection of hospital super bacteria MRSA from the hands of healthcare professionals using machine learning and hyperspectral imaging.

Healthcare-associated infections resulting from cross-contamination, particularly from the hands of multidisciplinary staff, significantly impact pati...