Latest AI and machine learning research in surgery for healthcare professionals.
To explore the clinical application pathway of the CT generative adversarial networks (CTGANs) algo...
Surgical interventions, particularly in neurology, represent complex and high-stakes scenarios tha...
Robotic-assisted minimally invasive esophagectomy (RAMIE) is a recognized treatment for esophageal...
In image-assisted minimally invasive surgeries (MIS), understanding surgical scenes is vital for r...
Background: Liver diseases present a significant global health challenge and often require costly,...
Esophageal cancer is among the most common types of cancer worldwide. It is traditionally treated ...
Robotic telemanipulation - the human-guided manipulation of remote objects - plays a pivotal role ...
Computer-assisted surgical (CAS) systems enhance surgical execution and outcomes by providing adva...
Language-guided robotic grasping is a rapidly advancing field where robots are instructed using hu...
Early detection of surgical complications allows for timely therapy and proactive risk mitigation....
Electronic healthcare records (EHR) contain a huge wealth of data that can support the prediction ...
In medical imaging, efficient segmentation of colon polyps plays a pivotal role in minimally invas...
This work introduces the first framework for reconstructing surgical dialogue from unstructured re...
The field of traumatic hemostasis is currently confronted with numerous challenges, particularly in ...
BACKGROUND: Trigeminal neuralgia (TN) is defined as spontaneous pain in the region of the trigeminal...
The use of artificial intelligence (AI) in medicine is rising fast. We continually hear about novel ...
BACKGROUND: Machine learning has emerged as a potent tool in healthcare. A decision tree model was b...
Cerebral aneurysms and arteriovenous malformations are life-threatening hemodynamic pathologies of...
In a recent paper, Hong developed an artificial intelligence (AI)-driven predictive scoring system ...
Artificial intelligence based predictive models trained on the clinical notes can be demographical...
ChatGPT, an artificial intelligence (AI) chatbot, can generate text prompts based on user input. Thi...