AIMC Topic: Retrospective Studies

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CT-Based Deep-Learning Model for Spread-Through-Air-Spaces Prediction in Ground Glass-Predominant Lung Adenocarcinoma.

Annals of surgical oncology
BACKGROUND: Sublobar resection is strongly associated with poor prognosis in early-stage lung adenocarcinoma, with the presence of tumor spread through air spaces (STAS). Thus, preoperative prediction of STAS is important for surgical planning. This ...

Deeplasia: deep learning for bone age assessment validated on skeletal dysplasias.

Pediatric radiology
BACKGROUND: Skeletal dysplasias collectively affect a large number of patients worldwide. Most of these disorders cause growth anomalies. Hence, evaluating skeletal maturity via the determination of bone age (BA) is a useful tool. Moreover, consecuti...

Robotic and laparoscopic sphincter-saving resections have similar peri-operative, oncological and functional outcomes in female patients with rectal cancer.

Updates in surgery
BACKGROUND: This study aimed to compare perioperative, long-term oncological, and anorectal functional outcomes of robotic total mesorectal excision (R-TME) and laparoscopic total mesorectal excision (L-TME) sphincter-saving total mesorectal excision...

PROACTING: predicting pathological complete response to neoadjuvant chemotherapy in breast cancer from routine diagnostic histopathology biopsies with deep learning.

Breast cancer research : BCR
BACKGROUND: Invasive breast cancer patients are increasingly being treated with neoadjuvant chemotherapy; however, only a fraction of the patients respond to it completely. To prevent overtreatment, there is an urgent need for biomarkers to predict t...

Effect of multimodal diagnostic approach using deep learning-based automated detection algorithm for active pulmonary tuberculosis.

Scientific reports
In this study, we developed a model to predict culture test results for pulmonary tuberculosis (PTB) with a customized multimodal approach and evaluated its performance in different clinical settings. Moreover, we investigated potential performance i...

Chronic kidney disease and Charlson comorbidity index predict complications after robot-assisted radical cystectomy: A single-center study in Japan.

International journal of urology : official journal of the Japanese Urological Association
OBJECTIVES: To investigate preoperative patient factors that may predict the occurrence of perioperative complications following robot-assisted radical cystectomy at a single center in Japan.

Machine Learning-based Prediction of Postoperative Pancreatic Fistula Following Pancreaticoduodenectomy.

Annals of surgery
OBJECTIVE: The aim of this study was to develop a novel machine learning model to predict clinically relevant postoperative pancreatic fistula (CR-POPF) following pancreaticoduodenectomy (PD).

Automated Segmentation and Classification of Knee Synovitis Based on MRI Using Deep Learning.

Academic radiology
OBJECTIVES: To develop a deep learning (DL) model for segmentation of the suprapatellar capsule (SC) and infrapatellar fat pad (IPFP) based on sagittal proton density-weighted images and to distinguish between three common types of knee synovitis.

Liver fibrosis classification from ultrasound using machine learning: a systematic literature review.

Abdominal radiology (New York)
PURPOSE: Liver biopsy was considered the gold standard for diagnosing liver fibrosis; however, with advancements in medical technology and increasing awareness of potential complications, the reliance on liver biopsy has diminished. Ultrasound is gai...