Latest AI and machine learning research in laser surgery for healthcare professionals.
BACKGROUND: Cardiovascular disease (CVD) and stroke are among the leading causes of death worldwide.
In the intelligent harvesting of eggplant, the lack of in situ identification technology makes it challenging to determine the maturity of purple eggplant fruit. The length of the fruit-setting date can determine when the eggplant is ready to be harvested. This study uses deep learning techniques to predict the date of fruit maturity. First, we proposed a fruit-setting days prediction method based...
The scarcity of human ocular samples with short postmortem intervals (PMIs) is a significant issue in ophthalmic research and drug discovery. A contri...
PURPOSE: To evaluate the performance of a custom ChatGPT-based chatbot in triaging ophthalmic emergencies compared to trained ophthalmologists.
Today, manga has gained worldwide popularity. However, the question of how various elements of manga, such as characters, text, and panel layouts, r...
Fundus imaging is a critical tool in ophthalmology, with different imaging modalities offering unique advantages. For instance, fundus fluorescein a...
Purpose: Intraoperative ultrasound (US) can enhance real-time visualization in transoral robotic surgery. The surgeon creates a mental map with a pr...
Diffusion models dominate the space of text-to-image generation, yet they may produce undesirable outputs, including explicit content or private dat...
OBJECTIVE: Maximizing safe resection in neuro-oncology has become paramount to improving patient survival and outcomes. Laser interstitial thermal the...
This study presented a novel approach for the precise ablation of breast tumors using focused ultrasound (FUS), leveraging a physics-informed neural n...
Periorbital segmentation and distance prediction using deep learning allows for the objective quantification of disease state, treatment monitoring,...
Finite element method applications are a common approach to simulate a handful of phenomena but can take a lot of computing power, causing elevated ...
BACKGROUND: Several ablation confirmation software methods for minimum ablative margin assessment have recently been developed to improve local outcom...
Developing novel predictive models with complex biomedical information is challenging due to various idiosyncrasies related to heterogeneity, standard...
In the realm of ophthalmic surgeries, silicone oil is often utilized as a tamponade agent for repairing retinal detachments, but it necessitates subse...
The need for improved diagnostic methods in ophthalmology is acute, especially in the less developed regions with limited access to specialists and ...
Mechanistic interpretability work attempts to reverse engineer the learned algorithms present inside neural networks. One focus of this work has bee...
Artificial intelligence (AI) has demonstrated revolutionary potential and wide-ranging applications in the comprehensive management of fundus diseases...
In the past few years, convolutional neural networks (CNNs) have been a major focus in medical image registration. However, it has been proved that CN...
The medical application of Computed Tomography (CT) is to provide detailed anatomical structures of patients without the need for invasive procedures ...