Artificial intelligence|based preoperative prediction system for ...

Artificial intelligence-based preoperative prediction system for ...

Based on the preoperative characteristics, we proved that ML algorithm can provide an acceptable diagnosis and prognosis prediction model ...

Artificial intelligence-based preoperative prediction system for ...

Ovarian cancer (OC) is the most lethal gynecological malignancy, with limited early screening methods and poor prognosis. Artificial ...

Application of Artificial Intelligence for Preoperative Diagnostic and ...

Machine learning systems can provide critical diagnostic and prognostic prediction for patients with EOC before initial intervention, and the use of ...

Preoperative prediction of sinonasal papilloma by artificial ... - Nature

We thus developed a diagnostic system using artificial intelligence (AI) to identify nasal sinus papilloma.

Application of Artificial Intelligence for Preoperative Diagnostic and ...

We developed an ovarian cancer–specific prediction approach based on artificial intelligence (AI) using multiple markers in peripheral blood and clinical ...

Artificial intelligence for preoperative planning

The aim is to predict potential complications with a personalised perioperative therapy and to sustainably improve the postoperative outcome of ...

Artificial Intelligence Based Patient-Specific Preoperative Planning ...

Currently, no research has been done on predicting preoperative plans for orthopedic surgery using machine learning. Therefore, this study aims ...

The Use of Artificial Intelligence for Orthopedic Surgical Backlogs ...

Surgical scheduling, AI algorithms can predict accurate surgical times. · Preoperative planning, AI creates patient-specific operative plans and ...

Artificial intelligence algorithm for preoperative prediction of FIGO ...

Conclusions Based on the preoperative characteristics, we proved that ML algorithm can provide an acceptable diagnosis and prognosis prediction ...

Artificial intelligence technology improves the accuracy of ...

In another research of 223 cases underwent cementless THA, the computer-aided 3D preoperative planning was found to be accurate in predicting implant size that ...

Artificial intelligence-based preoperative prediction system for ...

Artificial intelligence-based preoperative prediction system for diagnosis and prognosis in epithelial ovarian cancer: A multicenter study ; Mentioned by.

Artificial intelligence-based models enabling accurate diagnosis of ...

The MCF model consistently achieved satisfactory performance in ovarian cancer prediction when using laboratory tests from the three validation ...

A Systematic Review and PROBAST Assessment of Machine

learning model for preoperative prediction of postop- erative ... ity criteria for artificial intelligence-based prediction models in ...

Enabling personalized perioperative risk prediction by using a ...

Consequently, the aim of our study was to create a machine learning algorithm to accurately predict postoperative in-hospital mortality based on ...

The prediction of surgical complications using artificial intelligence ...

Conventional statistics are based on a simple cause-and-effect principle. Postoperative complications, however, have a multifactorial and interrelated ...

Artificial Intelligence and Machine Learning in Prediction of Surgical ...

Artificial intelligence algorithms have advanced surgery by helping clinicians quantify the risk of surgical procedures for a given patient ...

Prediction of Complications and Prognostication in Perioperative ...

Machine learning, a subset of artificial intelligence, relies on algorithms to make predictions or decisions without explicit programming. Machine learning can ...

The potential for artificial intelligence to predict clinical outcomes in ...

With the increasing use of electronic healthcare records, artificial intelligence may allow postoperative AKI prognostication and aid clinical ...

Artificial Intelligence in Ovarian Cancer Diagnosis

Using 5 algorithms of machine learning as AI, we were able to predict pathological diagnosis from the 16 numerical values in preoperative examination with the ...

Possibilities and challenges for artificial intelligence and machine ...

We distinguish the following perioperative domains in which AI applications may be of value: anaesthesia; surgery; prediction of the risk of ...