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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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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

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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


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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