Predict Surgical Outcome

Predict the risk level of surgery, the likelihood of the patient developing a complication, and recommended interventions to avoid that. Data sets like patient demographics, past medical history, past surgical history, and lab work are used to predict risk scores

ROI Examples

Data Needed

Understand the Use-case under 5 minutes

Video (2 minutes)

University of Florida researchers use artificial intelligence to better predict surgical outcomes

UF researchers use Machine Learning to predict surgical complications. When tested, the algorithm’s prediction of complications was “significantly better” than physicians’ initial risk assessments.

Article (1 minute)

Surgery Optimization with AI

Minimize the risk of potential surgery complications and improve patients surgical outcomes with Artificial Intelligence (AI)

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Get to know more Business and Technical details about the use-case (15-30 minutes)

Deeper Intro

More detailed introduction covering business and technical aspects

Article (7 minutes)

The Future of Surgery: Using AI to Optimize Surgical Patients

Expanding on the types of Surgical Risk Factors, How current patient risk assessment are conducted, and the role AI can play to Personalize Care and make surgery Safer

Video (3 minutes)

Using artificial intelligence to predict the success of laser eye surgery

In this article you will learn how Algorithms modeled on biological neural networks can predict whether patients will need further corrective treatment or not.

Business Focused

Case studies, Organizational Aspects, Return on Investment examples

Case Study

KelaHealth Cardiac Case Study

Using AI to accurately assign patients undergoing the TAVR procedure to either floor care or ICU post-surgery, by predicting their Length of Stay (LOS) post operation. This resulted in to $12 Million cost saving

Case Study

Vascular Case Study

Prediction of surgical site infection and Risk-Based use of negative pressure therapy on closed Incisions for vascular surgery.

Case Study (20 minutes)

Improving preoperative risk-of-death prediction in surgery congenital heart defects using artificial intelligence model

Using Random Forest as a model of individual death prediction for cardiac surgery in patients with congenital heart disease

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Article (8 minutes)

How to Use AI to Circumvent Hospital Readmissions and Improve Patient and Business Outcomes

Showing the difference between using classical techniques for calculating readmission risk (like LACE score) vs AI. AI provides better accuracy and up to $6.5 Million in cost savings for hospitals

Tech focused

More details on the technical aspects of the use-case

Paper (32 minutes)

Development and validation of machine learning models to identify high-risk surgical patients

In an effort to better identify high-risk surgical patients from complex data, a machine learning project trained on Pythia was built to predict postoperative complication risk

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WhitePaper

Bringing Insights from Millions of Patients to Every Patient

The principal objective of this proposal is to develop and test a software platform that links accurate and objective risk stratification with evidence-based interventions targeting specific complications

Paper

Predicting Surgical Complications in Adult Patients Undergoing Anterior Cervical Discectomy and Fusion Using Machine Learning

Demonstrating the performance of machine learning models in predicting postoperative complications following anterior cervical discectomy and fusion

Technical resources that will help you implement the use-case (notebooks, tutorials..)

Deep Learning for Improved Risk Prediction in Surgical Outcomes

In this study we address the need to provide an accurate patient specific risk prediction for one-year postoperative mortality or cardiac transplantation and prolonged length of hospital stay

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Activ Surgical Improves Patient Outcomes Using AI And Machine Learning | The Healthcare Technology Report.

Machine-learning-assisted prediction of surgical outcomes in patients undergoing gastrectomy

This study intends to investigate the feasibility of using a machine-learning model to predict surgical outcomes in patients undergoing gastrectomy.

Using neural networks to predict the outcome of refractive surgery for myopia

Using data from over 2,000 patients who had undergone laser eye surgery to establish the link between surgery failure and 13 factors that have been reported to influence treatment outcomes

Using machine learning techniques to develop forecasting algorithms for postoperative complications: protocol for a retrospective study

Predicting in-hospital mortality, postoperative acute kidney injury and postoperative respiratory failure. Data used from 80,000 patients: Patient history, laboratory values, intraoperative vital signs, & more

Data Sets you can use to build Demos, POCs, or test Algorithms

MIMIC-III Clinical Database

Data for over 40,000 patients who stayed in critical care units between 2001-2012, including: demographics, vital sign measurements made at the bedside (~1 data point per hour), laboratory test results, procedures, & more

MIMIC-IV

An update to MIMIC-III, which incorporates contemporary data and improves on numerous aspects of MIMIC-III. MIMIC-IV adopts a modular approach to data organization, highlighting data provenance and facilitating both individual and combined use of disparate data sources.

Off-the-Shelf Products using AI for Predicting Surgical Outcome

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Predict Surgical Outcome

1. Get Inspired

University of Florida researchers use artificial intelligence to better predict surgical outcomes

Surgery Optimization with AI

2. Know More

Deeper Intro

The Future of Surgery: Using AI to Optimize Surgical Patients

Using artificial intelligence to predict the success of laser eye surgery

Business Focused

KelaHealth Cardiac Case Study

Vascular Case Study

Improving preoperative risk-of-death prediction in surgery congenital heart defects using artificial intelligence model

How to Use AI to Circumvent Hospital Readmissions and Improve Patient and Business Outcomes

Tech focused

Development and validation of machine learning models to identify high-risk surgical patients

Bringing Insights from Millions of Patients to Every Patient

Predicting Surgical Complications in Adult Patients Undergoing Anterior Cervical Discectomy and Fusion Using Machine Learning

3. Do

Deep Learning for Improved Risk Prediction in Surgical Outcomes

Machine-learning-assisted prediction of surgical outcomes in patients undergoing gastrectomy

Using neural networks to predict the outcome of refractive surgery for myopia

Using machine learning techniques to develop forecasting algorithms for postoperative complications: protocol for a retrospective study

Data Sets

MIMIC-III Clinical Database

MIMIC-IV

Solutions