Pancreatic Diseases

A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories.

Pancreatic cancer is an aggressive disease that typically presents late with poor outcomes, indicating a pronounced need for early detection. In this study, we applied artificial intelligence methods to clinical data from 6 million patients (24,000 pancreatic cancer cases) in Denmark (Danish National Patient Registry (DNPR)) and from 3 million patients (3,900 cases) in the United States (US Vetera...

Robotic instruments outside the surgical field can cause problems: A case of critical bleeding during robotic distal pancreatectomy.

Robotic surgery has technical advantages including high optical magnification and articulation of forceps. However, the surgical field tends to be narrow due to the high magnification, and the forceps have no tactile sensation. A case of severe intraoperative bleeding from the splenic artery during robotic distal pancreatectomy is presented, with a video. A man in his 80s with a cystic tumor locat...

Robot-Assisted versus Laparoscopic Distal Pancreatectomy in Patients with Resectable Pancreatic Cancer: An International Retrospective Cohort Study-Authors' Reply.

Four-Dimensional Cone Beam CT Imaging Using a Single Routine Scan via Deep Learning.

A novel method is proposed to obtain four-dimensional (4D) cone-beam computed tomography (CBCT) images from a routine scan in patients with upper abdo...

Artificial intelligence assisted whole organ pancreatic fat estimation on magnetic resonance imaging and correlation with pancreas attenuation on computed tomography.

BACKGROUND: Fatty pancreas is associated with inflammatory and neoplastic pancreatic diseases. Magnetic resonance imaging (MRI) is the diagnostic moda...

Nitric oxide releasing polyvinyl alcohol and sodium alginate hydrogels as antibacterial and conductive strain sensors.

Conductive hydrogels have promising applications in flexible electronic devices and artificial intelligence, which have attracted much attention in re...

Behind the ChatGPT Hype: Are Its Suggestions Contributing to Addiction?

ChatGPT has been a frequent topic of discussion lately. All over the Internet, from YouTube to blogs, there have been reports about how ChatGPT is abl...

A Commentary on "Robot-Assisted Versus Laparoscopic Distal Pancreatectomy in Patients with Resectable Pancreatic Cancer: An International, Retrospective, Cohort Study".

Endoscopic ultrasound diagnosis system based on deep learning in images capture and segmentation training of solid pancreatic masses.

BACKGROUND: Early detection of solid pancreatic masses through contrast-enhanced harmonic endoscopic ultrasound (CH-EUS) is important. But CH-EUS is d...

Ultrastretchable High-Conductivity MXene-Based Organohydrogels for Human Health Monitoring and Machine-Learning-Assisted Recognition.

Conductive hydrogels as promising candidates of wearable electronics have attracted considerable interest in health monitoring, multifunctional electr...

Letter to the editor regarding 'Preoperative data-based deep learning model for predicting postoperative survival in pancreatic cancer patients'.

Prospective assessment of pancreatic ductal adenocarcinoma diagnosis from endoscopic ultrasonography images with the assistance of deep learning.

BACKGROUND: Endosonographers are highly dependent on the diagnosis of pancreatic ductal adenocarcinoma (PDAC). The objectives of this study were to de...

A decision support system based on artificial intelligence and systems biology for the simulation of pancreatic cancer patient status.

Oncology treatments require continuous individual adjustment based on the measurement of multiple clinical parameters. Prediction tools exploiting the...

Transformer guided progressive fusion network for 3D pancreas and pancreatic mass segmentation.

Pancreatic masses are diverse in type, often making their clinical management challenging. This study aims to address the task of various types of pan...

Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review.

BACKGROUND: Pancreatic cancer is the 12th most common cancer worldwide, with an overall survival rate of 4.9%. Early diagnosis of pancreatic cancer is...

The PD-ROBOSCORE: A difficulty score for robotic pancreatoduodenectomy.

BACKGROUND: Difficulty scoring systems are important for the safe, stepwise implementation of new procedures. We designed a retrospective observationa...

How people reason with counterfactual and causal explanations for Artificial Intelligence decisions in familiar and unfamiliar domains.

Few empirical studies have examined how people understand counterfactual explanations for other people's decisions, for example, "if you had asked for...

A primer on artificial intelligence in pancreatic imaging.

Artificial Intelligence (AI) is set to transform medical imaging by leveraging the vast data contained in medical images. Deep learning and radiomics ...

Deep learning for pancreatic diseases based on endoscopic ultrasound: A systematic review.

BACKGROUND AND AIMS: Endoscopic ultrasonography (EUS) is one of the main examinations in pancreatic diseases. A series of the studies reported the app...

Robotic versus open total pancreatectomy: a systematic review and meta-analysis.

Limited data are available on postoperative outcomes in patients undergoing robotic total pancreatectomy (RTP). This systematic review and meta-analys...