AIMC Topic: Humans

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Perioperative Outcomes of Vesicovaginal Fistula Repair by Surgical Approach.

Urogynecology (Philadelphia, Pa.)
IMPORTANCE: Data comparing perioperative outcomes between transvaginal, transabdominal, and laparoscopic/robotic vesicovaginal fistula (VVF) repair are limited but are important for surgical planning and patient counseling.

Deep learning-based age estimation from chest CT scans.

International journal of computer assisted radiology and surgery
PURPOSE: Medical imaging can be used to estimate a patient's biological age, which may provide complementary information to clinicians compared to chronological age. In this study, we aimed to develop a method to estimate a patient's age based on the...

ABTCN: an efficient hybrid deep learning approach for atmospheric temperature prediction.

Environmental science and pollution research international
Temperature prediction is an important and significant step for monitoring global warming and the environment to save and protect human lives. The climatology parameters such as temperature, pressure, and wind speed are time-series data and are well ...

Complete mesocolic excision versus standard resection for colon cancer: a systematic review and meta-analysis of perioperative safety and an evaluation of the use of a robotic approach.

Techniques in coloproctology
PURPOSE: Complete mesocolic excision (CME) has been associated with improved oncological outcomes in treatment of colon cancer. However, widespread adoption is limited partly because of the technical complexity and perceived risks of the approach. Th...

Open versus robot-assisted partial nephrectomy for highly complex renal masses: a meta-analysis of perioperitive and functional outcomes.

Journal of robotic surgery
Robot-assisted partial nephrectomy (RAPN) is increasingly being used for the complex surgical management of renal masses. The comparison of RAPN with open partial nephrectomy (OPN) has not yet led to a unified conclusion with regard to perioperative ...

Machine learning and image analysis in vascular surgery.

Seminars in vascular surgery
Deep learning, a subset of machine learning within artificial intelligence, has been successful in medical image analysis in vascular surgery. Unlike traditional computer-based segmentation methods that manually extract features from input images, de...

Deep Learning on Electrocardiograms for Prediction of In-hospital Intradialytic Hypotension in Patients with ESKD.

Kidney360
Intradialytic hypotension is common in patients who are on hemodialysis. We applied deep learning techniques to ECGs to predict patients at risk of IDH. The performance of the model was good with an AUC of 0.763 and AUPRC of 0.35.

The use of artificial intelligence (AI) to enhance academic communication, education and research: a balanced approach.

The Journal of hand surgery, European volume
Much has been written about the concerns surrounding artificial intelligence (AI). This article looks positively at how AI can enhance communication and academic skills, including teaching and research. The article explains what AI, Generative Pre-tr...