Surgery

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

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Automated Curb Recognition and Negotiation for Robotic Wheelchairs.

Common electric powered wheelchairs cannot safely negotiate architectural barriers (i.e., curbs) which could injure the user and damage the wheelchair. Robotic wheelchairs have been developed to address this issue; however, proper alignment performed by the user is needed prior to negotiating curbs. Users with physical and/or sensory impairments may find it challenging to negotiate such barriers. ...

Nov 24 2021 34883815

Efficacy of Platelet-Rich Plasma as an Adjuvant Therapy to Endoscopic Sinus Surgery in Anosmia Patients with Sinonasal Polyposis: A Randomized Controlled Clinical Trial.

Treatment of patients with anosmia is a major therapeutic challenge. The present study evaluated the efficacy of platelet-rich plasma (PRP) in the treatment of anosmia in patients with sinonasal polyposis. In the present clinical trial, atotal of 48 patients with sinonasal polyposis with theIran Smell Identification Test (I-SIT) score of <6 who completed the medical treatment and were observed 3 ...

Nov 24 2021 35341080
Human Oocyte Morphology and Outcomes of Infertility Treatment: a Systematic Review.

Oocyte morphology assessment is easy to implement in any laboratory with possible quality grading prior to fertilization. At present, comprehensive oo...

Nov 23 2021 34816375
Utility of mass spectrometry and artificial intelligence for differentiating primary lung adenocarcinoma and colorectal metastatic pulmonary tumor.

BACKGROUND: Rapid intraoperative diagnosis for unconfirmed pulmonary tumor is extremely important for determining the optimal surgical procedure (lobe...

Nov 23 2021 34812577
A tree based approach for multi-class classification of surgical procedures using structured and unstructured data.

BACKGROUND: In surgical department, CPT code assignment has been a complicated manual human effort, that entails significant related knowledge and exp...

Nov 23 2021 34814905
Machine Learning-Based Gynecologic Tumor Diagnosis and Its Postoperative Incisional Infection Influence Factor Analysis.

Various factors influencing postoperative incisional infection in gynecologic tumors were analyzed, and the value of quality nursing intervention was ...

Nov 23 2021 34858564
Toward personalized medicine for pharmacological interventions in neonates using vital signs.

Vital signs, such as heart rate and oxygen saturation, are continuously monitored for infants in neonatal care units. Pharmacological interventions ca...

Nov 22 2021 35372840
Clinical application of robotic orthopedic surgery: a bibliometric study.

OBJECTIVES: The present study aimed to evaluate the status and trends of robotic orthopedic surgery in a clinical setting using bibliometrics.

Nov 22 2021 34809652
The new SUMPOT to predict postoperative complications using an Artificial Neural Network.

An accurate assessment of preoperative risk may improve use of hospital resources and reduce morbidity and mortality in high-risk surgical patients. T...

Nov 22 2021 34811383
Deep Learning-Based Detection and Diagnosis of Subarachnoid Hemorrhage.

Subarachnoid hemorrhage (SAH) is one of the critical and severe neurological diseases with high morbidity and mortality. Head computed tomography (CT)...

Nov 22 2021 34853673
Executive summary of the artificial intelligence in surgery series.

As opportunities for artificial intelligence to augment surgical care expand, the accompanying surge in published literature has generated both substa...

Nov 21 2021 34815097
Single Port vs Multiport Robotic Pyeloplasty: Propensity-Score Matched Analysis of Perioperative and Follow-Up Outcomes.

OBJECTIVES: To compare the perioperative and postoperative outcomes of single port (SP) robotic pyeloplasty and multiport (MP) robotic pyeloplasty usi...

Nov 21 2021 34813835
Partial nephrectomy through retroperitoneal approach with a new surgical robot system, KD-SR-01.

BACKGROUND: To present our experiences with partial nephrectomy (PN) through retroperitoneal approach (RP) with the Kangduo robotic system.

Nov 20 2021 34773371
Comparison of patient controlled epidural infusion versus physician controlled epidural infusion for postoperative analgesia in patients undergoing major abdominal surgeries.

BACKGROUND AND AIMS: For effective patient-controlled epidural analgesia (PCEA) without many systemic effects after major intra-abdominal surgeries, o...

Nov 20 2021 36171932
A Single Institution's Experience With Robotic Minor and Major Hepatectomy.

BACKGROUND: Minimally invasive liver resection is gradually becoming the preferred technique to treat liver tumors due its salutary benefits when comp...

Nov 19 2021 34798777
Opportunities and Barriers to Rural Telerobotic Surgical Health Care in 2021: Report and Research Agenda from a Stakeholder Workshop.

There are well-recognized challenges to delivering specialty health care in rural settings. These challenges are particularly evident for specialized...

Nov 19 2021 34797741
Deep learning radiomics based on contrast enhanced computed tomography predicts microvascular invasion and survival outcome in early stage hepatocellular carcinoma.

OBJECTIVE: To evaluate the performance of a deep learning (DL)-based radiomics strategy on contrast-enhanced computed tomography (CT) to predict micro...

Nov 19 2021 34862094
Robot-assisted and conventional minimally invasive esophagectomy are associated with better postoperative results compared to hybrid and open transthoracic esophagectomy.

BACKGROUND: Currently 4 surgical techniques are performed for transthoracic esophagectomy (open esophagectomy (OE), hybrid esophagectomy (HE), convent...

Nov 19 2021 34838394
DNA methylation-based classification of malformations of cortical development in the human brain.

Malformations of cortical development (MCD) comprise a broad spectrum of structural brain lesions frequently associated with epilepsy. Disease definit...

Nov 19 2021 34797422
Natural Language Processing Enhances Prediction of Functional Outcome After Acute Ischemic Stroke.

Background Conventional prognostic scores usually require predefined clinical variables to predict outcome. The advancement of natural language proces...

Nov 19 2021 34796719
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