Surgery

Latest AI and machine learning research in surgery for healthcare professionals.

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Withdrawn as duplicate: Pulmonary Blood Volumes on CT Predict Residual Pulmonary Hypertension Post-Pulmonary Endarterectomy.

Pulmonary blood volumes (PBV), currently not assessed by computed tomography pulmonary angiography (...

(3)
Oct 2026 42085489
The Effect of Robot-Assisted Gait Training on Balance, Gait and Kinesiophobia in Individuals With Post-Stroke Hemiparesis: A Randomized Controlled Trial.

BACKGROUND AND PURPOSE: Robot-assisted gait training (RAGT) is well established for post-stroke gait...

(6)
Oct 2026 42700159
Benefits of Point-of-Care Ultrasound for Assessing Gastric Contents.

BACKGROUND: Point-of-care ultrasound (POCUS) has emerged as a valuable bedside tool for assessment o...

(5)
Oct 2026 42746668
Risk Factors of Ureteral Stricture after Endoscopic Lithotripsy for Impacted Stones: A Case-Control Study.

OBJECTIVES: To identify risk factors for ureteral stricture after endoscopic lithotripsy for impacte...

(9)
Sep 2026 42813455
Artificial intelligence in cataract management: current status and future perspectives.

PURPOSE: To summarize recent advances in artificial intelligence (AI) applications across the entire...

(2)
Sep 2026 42814183
From imaging enhancement to surgical autonomy: the evolutionary role of nanotechnology in AI-driven robotic surgery.

Robot-assisted minimally invasive surgery provides stable visualisation and manipulation, but direct...

(2)
Sep 2026 42814225
A transfer learning-based hybrid deep- and machine-learning regression approach for predicting the postoperative pulmonary function.

OBJECTIVES: Accurately predicting postoperative pulmonary function is essential for surgical decisio...

(3)
Sep 2026 42814229
Explainable Machine Learning Predictive Models for Surgical Site Infections: Scoping Review.

BACKGROUND: Surgical site infections (SSIs) remain a major cause of health care-associated infection...

(2)
Sep 2026 42815003
Doctor of physical therapy students' perceptions of artificial intelligence chatbots versus peer role play for therapeutic interviewing practice.

INTRODUCTION: Therapeutic interviewing supports rapport building, diagnostic accuracy, and person-ce...

(5)
Sep 2026 42815482
Predicting long-term survival after gastrectomy in elderly patients with esophagogastric junction adenocarcinomas.

BACKGROUND: The long-term survival outcomes of older patients with esophagogastric junction adenocar...

(3)
Sep 2026 42816638
Identification and validation of a chronic kidney disease prediction model after radical nephrectomy: a multicenter cohort retrospective study.

INTRODUCTION: Long-term renal function is an important follow-up after radical nephrectomy for renal...

(2)
Sep 2026 42808223
Parameter Optimized Bi-directional Long Short-term Memory (Pobi-Lstm) for Ich Stroke Detection and Classification on Ct Images.

OBJECTIVE: A life-threatening cerebrovascular disease with high mortality and morbidity is Intracran...

(6)
Sep 2026 42817118
Machine Learning for Non-invasive Differentiation of Glottic Carcinoma Versus Laryngeal Immobility.

OBJECTIVE: Voice analysis for medical diagnostics is advancing rapidly with artificial intelligence ...

(1)
Sep 2026 42808553
Development and Validation of a Machine Learning Model for Predicting One-year Anemia After Bariatric Surgery: A Multicenter Study.

INTRODUCTION: Anemia is a common nutritional complication after bariatric surgery, but preoperative ...

(1)
Sep 2026 42809071
Predicting early recurrence of craniopharyngioma using multi-omics radiomic modeling: a retrospective cohort study.

Craniopharyngiomas (CPs) are benign tumors arising in the sellar and suprasellar regions, but they f...

(3)
Sep 2026 42809153
A Nomogram Integrating Deep Learning and Immunoscore for Predicting Distant Metastasis and Prognosis in Rectal Cancer.

RATIONALE AND OBJECTIVES: To evaluate the performance of nomogram integrating MRI-based deep learnin...

(2)
Sep 2026 42805866
Predicting 90-day return to the emergency department in orthopaedic trauma patients in the Southeastern USA: a machine-learning approach.

INTRODUCTION: Return-to-acute-care metrics, such as early emergency department (ED) visits, are key ...

(3)
Sep 2026 39837646
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