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Home > AI for Health > Predicting Surgical Outcome

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

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ROI Examples
Data Needed

1. Get Inspired

Understand the Use-case under 5 minutes

2. Know More

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

Business Focused

Case studies, Organizational Aspects, Return on Investment examples

Tech focused

More details on the technical aspects of the use-case

3. Do

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

Data Sets

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.

Solutions

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

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