Surgery

Current AI technologies in cancer diagnostics and treatment.

Cancer continues to be a significant international health issue, which demands the invention of new methods for early detection, precise diagnoses, and personalized treatments. Artificial intelligence (AI) has rapidly become a groundbreaking component in the modern era of oncology, offering sophisticated tools across the range of cancer care. In this review, we performed a systematic survey of the...

Patient Satisfaction Following Top Surgery: A RealSelf Analysis Using Advanced Natural Language Processing.

BACKGROUND: Chest masculinization (top) surgery nearly tripled from 2016 to 2020 and is often the only gender-affirming procedure for transgender men. Outcomes are highly variable and operator-dependent, with limited research evaluating them from the patient's perspective. This study examined the impact of specific surgical metrics and procedure costs on patient-reported outcomes following top sur...

Ethical Considerations for Generative Artificial Intelligence in Plastic Surgery.

The integration of artificial intelligence (AI) into surgical care is rapidly transforming healthcare by enhancing efficiency, clinical decision-makin...

A hybrid PSO-FFNN approach for optimized seismic design and accurate structural response prediction in steel moment-resisting frames.

The first steel is the most prevalent material used in building. Steel's intrinsic hardness and durability make it appropriate for different uses, but...

Predicting early return to sport after periacetabular osteotomy : a machine-learning approach.

AIMS: Periacetabular osteotomy (PAO) is the primary surgical treatment for developmental dysplasia of the hip (DDH), providing considerable pain relie...

Interpretable machine learning model for predicting anastomotic leak after esophageal cancer surgery via LightGBM.

BACKGROUND: Postoperative anastomotic leakage (AL) is a severe complication following esophageal cancer surgery, that often leads to a poor prognosis....

Tumor-specific draining lymph node CD8 T cells orchestrate an anti-tumor response to neoadjuvant PD-1 immune checkpoint blockade.

Elucidating the anti-tumor role of tumor-draining lymph nodes (tdLNs) in patients could offer critical mechanistic insight and shift therapeutic strat...

Surgeons versus computer vision: a comparative analysis on surgical phase recognition capabilities.

PURPOSE: Automated surgical phase recognition (SPR) uses artificial intelligence (AI) to segment the surgical workflow into its key events, functionin...

Machine Learning for Predicting the Low Risk of Postoperative Pancreatic Fistula After Pancreaticoduodenectomy: Toward a Dynamic and Personalized Postoperative Management Strategy.

BACKGROUND: Postoperative pancreatic fistula (POPF) remains one of the most relevant complications following pancreaticoduodenectomy (PD), significant...

The Growing Role of Artificial Intelligence in Surgical Education: ChatGPT Undertakes the Australian Generic Surgical Sciences Examination.

BACKGROUND: Large language models have undergone vast development in recent years. The advent of large language models such as ChatGPT may play an imp...

Assessing the value of artificial intelligence-based image analysis for pre-operative surgical planning of neck dissections and iENE detection in head and neck cancer patients.

OBJECTIVES: Accurate preoperative detection and analysis of lymph node metastasis (LNM) in head and neck squamous cell carcinoma (HNSCC) is essential ...

Experience of Cardiovascular and Cerebrovascular Disease Surgery Patients: Sentiment Analysis Using the Korean Bidirectional Encoder Representations from Transformers (KoBERT) Model.

BACKGROUND: Cardiovascular and cerebrovascular diseases significantly contribute to global mortality and disability. The shift to outpatient postopera...

Radiomics-based differentiation of upper urinary tract urothelial and renal cell carcinoma in preoperative computed tomography datasets.

BACKGROUND: To investigate a non-invasive radiomics-based machine learning algorithm to differentiate upper urinary tract urothelial carcinoma (UTUC) ...

Advancing Musculoskeletal Care Using AI and Digital Health Applications: A Review of Commercial Solutions.

Artificial intelligence (AI) and digital health (DH) solutions are reshaping musculoskeletal (MSK) care across diagnostics, treatment planning, workfl...

Robotic-Assisted Arthroscopy Promises Enhanced Procedural Efficiency, Visualization, and Control but Must Overcome Barriers to Adoption.

Robotic-assisted surgery is now well-established in spine surgery and total joint arthroplasty, but its application to arthroscopy has only recently e...

Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNs.

Distinguishing high-risk intraductal papillary mucinous neoplasms (IPMNs), pancreatic cysts requiring surgery, from low-risk lesions remains a clinica...

A machine learning-based predictive model for the occurrence of lower extremity deep vein thrombosis after laparoscopic surgery in abdominal surgery.

BACKGROUND & AIMS: Deep vein thrombosis, a common complication after laparoscopic surgery, can negatively affect patients' limb motor function and eve...

Can artificial intelligence improve the diagnosis and prognosis of disorders of consciousness? A scoping review.

BACKGROUND: Artificial intelligence (AI), in the form of machine learning (ML) or deep learning (DL) models, can aid clinicians in the diagnostic proc...

A Novel and Modern Calculator to Predict Vaginal Birth after Cesarean Delivery.

Counseling patients who are considering a trial of labor after cesarean (TOLAC) is a challenging task given the risks and benefits of either approach....

Predicting NSCLC surgical outcomes using deep learning on histopathological images: development and multi-omics validation of Sr-PPS model.

BACKGROUND: Currently, there remains a critical need for reliable tools to accurately predict post-surgical outcomes in non-small cell lung cancer (NS...