Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: Increased oxidative stress (OS) activity following intracerebral hemorrhage (ICH) had si...
Colorectal cancer remains a major cause of cancer death and morbidity worldwide. Surgery is a major ...
: When properly utilized, artificial intelligence generated content (AIGC) may improve virtually eve...
Accurate assessment of epidermal growth factor receptor (EGFR) mutation status and subtype is critic...
BACKGROUND: Ahmed valve implantation demonstrated an increasing proportion in glaucoma surgery, but ...
BACKGROUND: The primary surgical approach for removing adrenal masses is minimally invasive adrenale...
BACKGROUND: Three-dimensional (3D) ultrasound (US) imaging has shown promise in non-invasive monitor...
BACKGROUND: Learning to perform strabismus surgery is an essential aspect of ophthalmologists' surgi...
BACKGROUND: Technological advancements in implant design and surgical technique have focused on dimi...
OBJECTIVE: To examine the use of surgical intelligence for automatically monitoring critical view of...
BACKGROUND: Early identification of patients at increased risk for postpartum hemorrhage (PPH) assoc...
Artificial Intelligence (AI) is playing an increasing role in several fields of medicine. AI is also...
Drawing inspiration from cohesive integration of skeletal muscles and sensory skins in vertebrate an...
Vestibular schwannomas (VS) are the most common tumor of the skull base with available treatment opt...
BACKGROUND: Allogeneic Blood transfusion is common in hip surgery but is associated with increased m...
BACKGROUND: Pneumonia is one of the most common complications after spontaneous intracerebral hemorr...
BACKGROUND: Machine learning (ML) is a form of artificial intelligence that has been used to create ...
Dynamic soft tissue characterisation is an important element in robotic minimally invasive surgery. ...
BACKGROUND: In recent years, the integration ofArtificial intelligence (AI) into various fields of m...
Deep Neural Networks (DNNs) based semantic segmentation of the robotic instruments and tissues can e...
Early prognostication of patient outcomes in intracerebral hemorrhage (ICH) is critical for patient ...