Looking at the headline, one might assume that this blog talks about the Covid-19 vaccine. It has been hailed as a magic vial and rightly so. But this week, we want to talk about the technology that is powering new-age medicinal innovations, Artificial Intelligence. From Schizophrenia to Cancer, AI is being implemented to analyze and learn from previous records thus improving the quality of diagnostic standards.
This week at ‘Conversations on AI’, we compile a list of cutting-edge technology articles that focuses on the role of Artificial Intelligence in transforming healthcare and medicine
Scientists collected and analyzed electronic health record (EHR) data from 11,525 patients who were admitted across 13 Northwell Health hospitals, New York’s largest health system. This data was utilized to aid clinicians in predicting which patients may be at risk of respiratory failure, help triage patients, and reduce mortality, the team created and compared three ML tools to help score patients upon admission.
Throughout the COVID-19 crisis, Dr. Theodoros Zanos and his team at the Feinstein Institutes’ Institute of Bioelectronic Medicine have studied ML and AI to develop digital tools to aid clinicians.
We look forward to more such tools!
Researchers at the University of Alberta have taken a giant leap towards developing an artificial intelligence tool that can predict schizophrenia by analyzing brain scans.
"The goal is for the tool to help with early diagnosis, to study the disease process of schizophrenia, and to help identify symptom clusters," mentioned Kalmady Vasu, Senior machine learning specialist in the Faculty of Medicine & Dentistry.
With early identification, we hope for a future where the early diagnosis of schizophrenia will not be an anomaly but more of the norm.
Health is a state of complete mental, social and physical well-being, not merely the absence of disease or infirmity – World Health Organization
A team of scientists from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and Jameel Clinic (J-Clinic) created a risk-assessment algorithm that shows consistent performance across datasets from the US, Europe, and Asia.
Their new ‘Mirai’ algorithm is significantly more accurate than prior methods in predicting cancer risk and identifying high-risk groups across all three datasets.
Cancer is the second leading cause of death globally, & technology can be the cure to this ailment.
Precision dosing has been identified as a crucial method to maximize therapeutic safety and efficacy with significant potential benefits for patients and healthcare providers, and AI-powered solutions have so far proven to be among the most powerful tools to actualize precision dosing.
In the United States alone, drug-related problems in patients account for $177 billion in costs annually.
Hence, it is vital to move from a one size fits all approach to a precision, drug dosing methodology.
With Covid-19, the world realized that nothing can be taken for granted. We never know when the next pandemic can strike. Technology can assist us in predicting and analyzing the past to make a better future 🌍
After all, being forewarned is being forearmed!
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