Surgery

Patient Perceptions of Artificial Intelligence in Orthopaedic Surgery: Identifying Potential Barriers to Acceptance and Disparities With Implementation.

INTRODUCTION: Despite growing enthusiasm for artificial intelligence (AI) implementation in orthopaedic care, patient attitudes toward AI adoption remain unexplored. This study assesses patient perceptions of AI integration in diagnosis, treatment, and patient communication in orthopaedic surgery. METHODS: A 28-question survey was administered to patients in hand surgery, orthopaedic oncology, and...

Artificial intelligence in surgical care within low-income and middle-income countries: a scoping review of development, validation, and deployment.

Artificial intelligence (AI) has the potential to expand access to high-quality surgical care in low-income and middle-income countries (LMICs), yet the extent and maturity of AI research in these settings remain unclear. We conducted a prospectively registered scoping review (osf.io/9PV6A) to synthesize primary evidence on the use of AI in LMIC surgical care. PubMed, Scopus, and Web of Science we...

The first reported case using real-time artificial intelligence with single-port robotics for colorectal surgery.

BACKGROUND: With the increased utilization of artificial intelligence (AI) tools in the operating room, we aimed to integrate real-time visual cues pr...

LAMB1 regulates COL3A1 and RAC1 expression during subchorionic hemorrhage progression.

BACKGROUND: Subchorionic hemorrhage (SCH) is characterized by a fluid-filled hypoechoic area in early pregnancy. This study investigates how laminin s...

Jigsaws soup: Improved laparoscopic surgical gesture classification, and skill level evaluation using model souping.

Laparoscopy has revolutionised surgery, with faster recovery and less trauma for patients. However, extensive training is needed to gain the required ...

Artificial Intelligence in Predicting Surgical Problems and Postoperative Morbidity in Mandibular Third Molar Extractions.

INTRODUCTION: Mandibular third molar (MTM) extractions are among the most frequent oral surgical procedures, often associated with variable surgical d...

Advances in imaging modalities and tumor classification for vestibular schwannomas.

PURPOSE: Vestibular schwannomas are benign tumors of the cerebellopontine angle that may causesignificant neurological morbidity. Magnetic resonance i...

Identifying Venous Insufficiency in Head and Neck Reconstruction Flaps Using Machine Learning and Deep Learning Methods.

BACKGROUND: Venous insufficiency is a major cause of flap failure in head and neck reconstruction. AI provides a reliable, convenient solution for ear...

Robotic Pets in Hospitals: Fostering Connection.

Acute care hospitals often fail to meet the relational needs of older adults with dementia, for whom many environmental stressors can exacerbate behav...

Advances in artificial intelligence enhanced robotics for dental implant placement: A scoping review.

OBJECTIVES: To map current evidence on artificial intelligence (AI)-enhanced robotic systems for dental implant placement, focusing on system autonomy...

ROBUST-MIPS: A Combined Skeletal Pose and Instance Segmentation Dataset for Laparoscopic Surgical Instruments.

Localisation of surgical tools constitutes a foundational building block for computer-assisted interventional technologies. Works in this field typica...

Low atherogenic index of plasma is associated with spontaneous hemorrhagic transformation in acute ischemic stroke patients: a retrospective cohort study and predictive modeling based on machine learning.

Explainable machine learning for postoperative respiratory failure prediction in open-heart surgery patients - a study based on the MIMIC-IV database.

BACKGROUND: Postoperative respiratory failure (PRF) is a severe complication after open-heart surgery, associated with increased mortality and prolong...

Global distribution, pathogen spectrum, and invasion potential of Hyalomma anatolicum at the human-livestock interface: A systematic review, meta-analysis, and ecological niche modeling.

Hyalomma anatolicum is an efficient vector at the human-livestock interface, yet its global ecological profile remains insufficiently defined. This st...

Epilepsy: Modern Treatment Approaches, Clinical Aspects, and Patent Status.

Epilepsy is a chronic neurological disorder causing recurrent seizures. Improved diagnosis and management, including high-resolution imaging, genetic ...

Bioinspired additive manufacturing material optimization for increased stiffness and improved strain sensing in robotic limbs.

Robots traversing uneven terrain may require precise calculation of limb kinematics (e.g. foot position from joint angles and segment dimensions) and ...

Robotic credentialing and simulation-based training: An institutional perspective.

INTRODUCTION: Simulation-based training has emerged as a critical tool in the acquisition of robotic surgical skills, especially in urology, where pro...

Microrobotic copper-rich electrochemical interfacing for targeted cancer theranostics in the gut.

The exquisite spatiotemporal regulation of drug biodistribution is paramount for optimal targeted cancer theranostics. Robotic ingestible devices prom...

A complete blood count-based machine learning model for rapid differentiation of aplastic anemia, immune thrombocytopenia, and myelodysplastic syndromes in routine clinical practice.

BACKGROUND: Accurate differentiation of common hematologic disorders remains challenging in routine clinical practice and often requires invasive diag...

Robotic assessment of proprioception in individuals with patellar tendinopathy: A feasibility and pilot study.

BACKGROUND: Individuals with patellar tendinopathy often exhibit impaired proprioception, which may contribute to symptom persistence and injury recur...