Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: Acute kidney injury (AKI) is a frequent and serious complication among hospitalized patients, particularly in critical care settings, where its incidence can exceed 50%. AKI is associated with increased mortality, prolonged hospitalization, dialysis dependence, and higher health care costs. Although the KDIGO (Kidney Disease: Improving Global Outcomes) guidelines emphasize supportive c...
BACKGROUND: Unilateral condylar hyperplasia (UCH) with transverse mandibular deviation is a frequent cause of facial asymmetry and skeletal Class III malocclusion. Adaptive slice condylectomy (ASC) has been proposed as a focused alternative to bimaxillary orthognathic surgery (OS), aiming to recenter the dental midline without bilateral skeletal osteotomies. We evaluated morphological and function...
OBJECTIVES: This randomized clinical study aimed to assess implant placement accuracy and radiographic outcomes of computer-guided versus freehand rid...
BACKGROUND: The evaluation of genetic mutations is crucial for personalized therapy in colorectal cancer (CRC), but the invasive tissue biopsy is subj...
BACKGROUND: Early detection and treatment stratification of breast cancer remain major clinical challenges, particularly in the Middle East and North ...
BACKGROUND: Microsurgical suturing training requires precise, repeated feedback, but faculty feedback is often delayed, subjective, and limited by ava...
BACKGROUND: Several clinical issues have remained in dental care and risk estimation because of the insufficient integration of multimodal features, t...
Endovascular thrombectomy (EVT) has transformed the treatment of acute ischemic stroke (AIS). However, a substantial proportion of AIS patients experi...
Intracranial hemorrhage (ICH) is an emergency clinical condition that requires rapid diagnosis. In patients with suspected ICH, head computed tomograp...
Retinal procedures require precise instrument manipulation to avoid iatrogenic injuries. Intraoperative Optical Coherence Tomography (iOCT) delivers r...
Artificial intelligence (AI) tools have moved from novelty to measurable clinical impact in surgical practice. This review organizes the literature an...
INTRODUCTION: The exponential growth of biomedical data hinders the rapid adoption of evidence-based practices in the Military Health System. This is ...
OBJECTIVE: To develop and validate a nomogram integrating artificial intelligence (AI)-extracted ultrasound features with clinic pathologic data for n...
Artificial Intelligence (AI) is transforming clinical dental practice, with most applications focusing on static images like radiographs. However, the...
BACKGROUND: Facial assessment is central to treatment planning and outcome evaluation. Traditional approaches, including visual inspection, manual ant...
BACKGROUND: Surgical treatment for spinal metastases is associated with high perioperative risk due to tumor burden, neurologic compromise, and limite...
BACKGROUND: Pancreatic enucleation (PE) preserves parenchyma in benign/low-grade malignant pancreatic tumors but risks postoperative pancreatic fistul...
BACKGROUND: Accurate identification of sentinel lymph node (SLN) status is essential for surgical and adjuvant therapy decisions in breast cancer. Alt...
BACKGROUND: This study aimed to develop a CT-based delta-radiomics model for personalized prediction of postoperative prognosis in bladder cancer pati...
BACKGROUND: Intraoperative neuromonitoring (IONM) reduces postoperative neurological complications, but its precise value for neurological outcomes re...