AI helps in identifying those at risk of Sleep Apnea
In our last blogpost we discussed the potential role of AI in the study of sleep disorders. An AI project has found some factors that lead to Sleep Apnea in patients. Sleep Apnea is a sleep disorder which can be quite serious as it causes breathing to halt and start repeatedly in those with this condition. Healthcare providers at Sanford Health will soon be using augmented intelligence to go through the electronic medical records of patients to scan a number of factors that could point towards a patient who is suffering from sleep apnea. They have zeroed in on about 67 indicators for sleep apnea some of which are the body mass index (BMI), medical history, age, clinical symptoms, gender, etc. ALong with these indicators the healthcare providers ask patients about their tiredness quotient through the course of the day. When these two factors are put together, a score is taken out which indicates the likelihood of the patient suffering from sleep apnea.
The augmented reality tool has been developed with the aim of providing quality care to patients by increasing the efficiency of the primary care practitioners. It does not, however, act as replacement for sleep tests and it definitely is not the diagnosis. But it definitely helps identify those patients who are at great risk so that their treatment can begin accordingly.
As electronic medical records contain some key data such as vital signs, medical history, laboratory results of each patient, AI scans through this data and the chances of a person developing sleep apnea are ranked as low, medium, or high. Besides this, the tool also shows the top five factors which lead to the risk score of the patient. These may change from time to time. For example if a person sheds weight or quits smoking, he would be at a lower risk. The algorithm is designed to automatically adjust the scores each month on the basis of the records of the patient. For the primary care provider, it would be as easy as the click of a button to know the reason behind the patient being at risk of developing sleep apnea and they can suggest the course of action accordingly.
Those patients who are considered to be high risk are asked to visit a sleep clinic for further analysis. The traditional sleep study need not be done on all patients but only those who have a relatively high risk. Low risk patients improve with initial treatment itself.
If you are someone who has sleep apnea or have a patient who has the same and AI has helped you in any way, do share your story with us at firstname.lastname@example.org and don’t forget to subscribe to our weekly newsletter.
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Prior to joining Infinite Analytics, Richard served as the CFO of CrowdFlower, COO and CFO of Phoenix Technologies, as a member of the board of directors and chairman of the Audit Committee at Intellisync, and previously as CFO and executive vice president strategy and corporate development at Charles Schwab.
Pravin Gandhi has over 50 years of entrepreneurial operational and investing experience in the IT industry in India. He was a founding partner of the first early stage fund India - INFINITY. Subsequently a founding partner in Seedfund I & II. With over 18 years of investing experience, he is extensively well networked in investment and entrepreneurial scene and is an active early stage angel investor in tech & impact space. Pravin holds a BS in Industrial Engineering from Cornell University, and serves on the board of several private corporations in India. He is on the board of SINE, IIT Mumbai Incubator.
Puru has his Masters in Engineering and Management from MIT. Prior to MIT, he worked with Fidelity Investments building electronic trading products and high volume market data processing applications. He has completed his BE from VJTI, Mumbai.
Deb Roy is Professor of Media Arts and Sciences at MIT where he directs the MIT Center for Constructive Communication, and a Visiting Professor at Harvard Law School. He leads research in applied machine learning and human-machine interaction with applications in designing systems for learning and constructive dialogue, and for mapping and analyzing large scale media ecosystems. Deb is also co-founder and Chair of Cortico, a nonprofit social technology company that develops and operates the Local Voices Network to surface underheard voices and bridge divides.
Roy served as Executive Director of the MIT Media Lab from 2019-2021. He was co-founder and CEO of Bluefin Labs, a media analytics company that analyzed the interactions between television and social media at scale. Bluefin was acquired by Twitter in 2013, Twitter’s largest acquisition of the time. From 2013-2017 Roy served as Twitter’s Chief Media Scientist.
Erik Brynjolfsson is the Jerry Yang and Akiko Yamazaki Professor and Senior Fellow at the Stanford Institute for Human-Centered AI (HAI), and Director of the Stanford Digital Economy Lab. He also is the Ralph Landau Senior Fellow at the Stanford Institute for Economic Policy Research (SIEPR), Professor by Courtesy at the Stanford Graduate School of Business and Stanford Department of Economics, and a Research Associate at the National Bureau of Economic Research (NBER).
Akash co-founded IA while studying for his MBA from MIT. Prior to MIT Sloan, he co-founded Zoonga. Before this, Akash was an engineer with Oracle in Silicon Valley. He has completed his M.S from University of Cincinnati and B.E from the College of Engineering, Pune.