Results 1 to 10 of about 79,183 (25)

Revisiting the Plastic Surgery Hypothesis via Large Language Models [PDF]

ASE 2023: Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
Automated Program Repair (APR) aspires to automatically generate patches for an input buggy program. Traditional APR tools typically focus on specific bug types and fixes through the use of templates, heuristics, and formal specifications. However, these techniques are limited in terms of the bug types and patch variety they can produce.
arxiv   +1 more source

On Steenrod $\mathbb{L}$-homology, generalized manifolds, and surgery [PDF]

Proc. Edinb. Math. Soc. (2) 63:2 (2020), 579-607, 2020
The aim of this paper is to show the importance of the Steenrod construction of homology theories for the disassembly process in surgery on a generalized $n$-manifold $X^n$, in order to produce an element of generalized homology theory, which is basic for calculations.
arxiv   +1 more source

Deep Selection: A Fully Supervised Camera Selection Network for Surgery Recordings [PDF]

arXiv, 2023
Recording surgery in operating rooms is an essential task for education and evaluation of medical treatment. However, recording the desired targets, such as the surgery field, surgical tools, or doctor's hands, is difficult because the targets are heavily occluded during surgery.
arxiv  

Effects of anterior temporal lobe resection on cortical morphology [PDF]

arXiv, 2022
Anterior temporal lobe resection (ATLR) is a surgical procedure to treat drug-resistant temporal lobe epilepsy (TLE). Resection may involve large amounts of cortical tissue. Here, we examine the effects of this surgery on cortical morphology measured in independent variables both near the resection and remotely.
arxiv  

GPT-4 to GPT-3.5: 'Hold My Scalpel' -- A Look at the Competency of OpenAI's GPT on the Plastic Surgery In-Service Training Exam [PDF]

arXiv, 2023
The Plastic Surgery In-Service Training Exam (PSITE) is an important indicator of resident proficiency and serves as a useful benchmark for evaluating OpenAI's GPT. Unlike many of the simulated tests or practice questions shown in the GPT-4 Technical Paper, the multiple-choice questions evaluated here are authentic PSITE questions.
arxiv  

Integrating Artificial Intelligence and Augmented Reality in Robotic Surgery: An Initial dVRK Study Using a Surgical Education Scenario [PDF]

arXiv, 2022
Robot-assisted surgery has become progressively more and more popular due to its clinical advantages. In the meanwhile, the artificial intelligence and augmented reality in robotic surgery are developing rapidly and receive lots of attention. However, current methods have not discussed the coherent integration of AI and AR in robotic surgery.
arxiv  

The ZX calculus is a language for surface code lattice surgery [PDF]

Quantum 4, 218 (2020), 2017
A leading choice of error correction for scalable quantum computing is the surface code with lattice surgery. The basic lattice surgery operations, the merging and splitting of logical qubits, act non-unitarily on the logical states and are not easily captured by standard circuit notation.
arxiv   +1 more source

Quantification of Robotic Surgeries with Vision-Based Deep Learning [PDF]

arXiv, 2022
Surgery is a high-stakes domain where surgeons must navigate critical anatomical structures and actively avoid potential complications while achieving the main task at hand. Such surgical activity has been shown to affect long-term patient outcomes.
arxiv  

Plastic deformation of rough metallic surfaces [PDF]

arXiv, 2020
We present experimental and theoretical results for the surface topography of a plastically deformed metallic (aluminum) block. When a hard spherical body (here a steel-, silica glass- or silicon nitride ball) with a smooth surface is indented in a metal block with a nominally flat, but still rough, surface, a spherical-cup-like indentation result due ...
arxiv  

Unsupervised Sentiment Analysis of Plastic Surgery Social Media Posts [PDF]

arXiv, 2023
The massive collection of user posts across social media platforms is primarily untapped for artificial intelligence (AI) use cases based on the sheer volume and velocity of textual data. Natural language processing (NLP) is a subfield of AI that leverages bodies of documents, known as corpora, to train computers in human-like language understanding ...
arxiv