Artificial Intelligence in Health Care Weekly Roundup #4
Machine learning is revolutionizing healthcare.
Here are some highlights of how artificial intelligence is changing medicine.
“Human beings, viewed as behaving systems, are quite simple. The apparent complexity of our behavior over time is largely a reflection of the complexity of the environment in which we find ourselves.”
― Herbert A. Simon, The Sciences of the Artificial
1) Machine Learning Approach for Skill Evaluation in Robotic-Assisted Surgery
Ever wondered how the skill of one surgeon compares to another? Truth is, surgical skills are rarely compared. Evaluating a surgeons skill has predominantly been a subjective task. As robotic surgery becomes more common it is possible to track and evaluate movements associated with each step of a surgery. In this paper researchers used machine learning to classify different movements made by surgeons to evaluate: completion time, path length, depth perception, speed, smoothness and curvature. The study showed the ability of machine learning methods to automatically classify expert and novice surgeons.
Read more: Machine Learning Approach for Skill Evaluation in Robotic-Assisted Surgery
2) Predicting the Genetic Makeup of a Brain Tumor Using MRI Images
What if you could know the genetic make up of a tumor without ever performing a biopsy? These researchers are using deep learning to predict the genetic makeup of brain tumors based on subtle differences in brain MRI that the human eye cannot detect. Predicting genetic status non-invasively from MR images allows doctors to select effective treatment strategies for patients with brain cancer without the need for surgical biopsy.
Read More: Predicting 1p19q Chromosomal Deletion of Low-Grade Gliomas from MR Images using Deep Learning
3) Information Technology and the Future of Radiology
The role of radiologists in the age of Artificial Intelligence is rapidly changing. In this paper, the authors discuss how AI should rather be regarded as a form of intelligence amplification (IA) for radiologists, a technique enabling them to add value to the radiology report. In other words, AI could be used to consolidate the radiologists’ role instead of replacing them.
Read More: The Impact of Information Technology on Radiology Services: An Overview
