Thursday, December 12, 2019
Jiajie Zhang, PhD
Dean and Professor
AI is to medicine today what the X-ray was to medicine a century ago.
Just as the X-ray machine invented more than a century ago enables doctors to see images of structures inside the human body, recent breakthroughs in artificial intelligence (AI) and machine learning are enabling doctors to not only see, but predict, previously unidentified patterns within medical and biological data that can inform individualized disease prevention and care, as well as biomedical discovery.
For many clinical tasks, AI can often outperform—in speed and accuracy—trained clinicians. Here, I am providing only a few examples from a rapidly expanding list of medical AI applications. AI systems developed by training with massive numbers of images can recognize melanoma from photographs of the skin; diabetic retinopathy and glaucoma can be diagnosed by AI from OCT images; and endovascular thrombectomy eligibility can be determined by AI using the CT scans of stroke patients. AI systems developed from human behavioral data can detect early signs of Parkinson’s from typing movement of the hands; depression can be determined from sleep patterns tracked by mobile devices; and fall risks can be predicted through gait analysis videos. AI systems developed from longitudinal electronic health records (EHR) can predict a multitude of health conditions such as myocardial infarction, heart failure, sepsis onset, and stroke, as well as assist in the analysis of critical quality and safety issues that include ICU mortality and hospital readmission. In addition, AI systems utilizing EHR data can detect previously unknown drug-drug interactions, adverse drug events, and new functions of existing FDA-approved drugs. AI systems for genomic data can establish previously unknown correlations between diseases and genotypes. For clinical operations, AI algorithms can transcribe a doctor-patient conversation in real-time into clinical notes and then further convert them into structured codes in EHR for clinical decision support and billing, thereby reducing the physician’s workload and facilitating more direct patient-doctor interaction.
We are in the throes of a fundamental economic and societal transformation.
The Agricultural Revolution that took place around 10,000 BC liberated people from food insecurity via farming; the Industrial Revolution that commenced 200 years ago began to free people from grueling physical labor through machines; and the Artificial Intelligence (AI) Revolution occurring now is liberating people from cognitive labor through powerful computing, universal connectivity, and massive data. While AI has been disrupting and changing many industries, including information access, communication, retail, manufacturing, agriculture, entertainment, travel, finance, and education, its seismic tremor is just beginning to impact the largest industry in the U.S., which accounts for nearly one-fifth of its GDP: Healthcare.
The AI Revolution promises to be an exciting era. With virtually unlimited potential, medical AI is rapidly evolving to produce ever greater numbers of increasingly advanced clinical applications that will dramatically improve patient care, disease prevention, and biomedical discovery. It’s great to be part of that transformation!
Copyright © 2019 Jiajie Zhang. All rights reserved.
Tuesday, November 12, 2019
Arif Harmanci, M.S., Ph.D.
Assistant Professor, Center for Precision Health
“The responsibility to the personal information is increasing at a great pace.”
We are fortunate to live in an era of healthcare revolution. The usage of big data and machine learning is disrupting every aspect of healthcare in both the research labs and in the clinic. For example, large computers at SBMI are churning data from millions of people at a non-stop, 24/7 pace. We learn insights from the databases to make healthcare less expensive, more effective, and more accessible.
Wednesday, August 2nd, 2017
Jiajie Zhang, PhD
Dean and Professor
When examining the connection between informatics and data science, the ratio is rather simple – 1:1. Informatics is the equivalent of data science.
Biomedical informatics is an amalgam of data science with both biomedicine and health components added in. Data science is a recent name that grew out of the emergence of big data, although biomedical informatics, i.e., data science in biomedicine and healthcare, has been around for several decades.
Wednesday, February 15th, 2017
It’s like Christmas in February….HIMSS17 has arrived! The annual conference & exhibition is Feb. 19 to 23 in Orlando. This year, the Orange County Convention Center (OCCC) will play host to the conference. Considered one of the largest convention centers in the country, the OCCC is around 7 million square feet. So for HIMSS17, there will literally be lots of ground to cover.
Wednesday, November 23rd, 2016
written by James Langabeer, PHD
Hello SBMI Community
As part of a UT System-wide initiative, UTHealth has engaged in a comprehensive planning process to explore and improve the health status for the communities that surround us. As a faculty member here at SBMI, I was lucky to have been chosen to lead this initiative. So, a question I get asked all the time is this: what is population health? Although many people think it’s the same as public health, it is not. I define population health this way:
Wednesday, October 12th, 2016
- Several members of the SBMI community are heading to “Charm City”, also known as Baltimore, MD, for the 88th Annual AHIMA Convention & Exhibit from Oct. 15 through 19. The conference is taking place at the Baltimore Convention Center and this year’s theme is “Inspire Big Thinking to Launch Our Future.”
Check out the conference preview brochure to see what sessions and events are taking place. If you are looking for a specific speaker and are not sure when her or his session takes place, we suggest using AHIMA’s session finder feature. As always, follow SBMI on Twitter and all other social media sites during the convention to get the latest details on sessions and seminars if you cannot attend. All of our tweets and posts will include the hashtag #AHIMACon16, too.
Thursday, September 29th, 2016
- This week marks National Health IT Week (or #NHITWeek for social media purposes) and SBMI is proud to be a partner as our school participates in this noteworthy event again this year. #NHITWeek is intended to raise awareness for critical advances needed in information technology in order to help the health care industry continually progress. Each year, the week focuses on specific points of engagement as certain issues take the limelight. This year, these are the four key areas surrounding #NHITWeek.
A rapid increase in computerization of health care organizations (HCOs) around the world has raised their profile as lucrative targets for cyber-criminals. Recently there has been a spate of high-profile ransomware attacks involving hospitals’ electronic health record (EHR) data.
Briefly, ransomware attacks commonly start when a user is conned into clicking an internet link or opening a malicious email attachment. Malware, or software that is intended to damage or disable the computer, is then downloaded and rapidly encrypts data on that computer and attempts to reach out to other computers on the same network to encrypt data on those computers as well; consequently, all encrypted data is inaccessible. A message is displayed that all files have been encrypted and if the user does not pay the requested ransomwithin a short period of time, the files will be destroyed. Once the attack has been launched, users have three basic options: 1) try to restore their data from a backup; 2) pay the ransom; or 3) lose their data.
Wednesday, June 29th, 2016
- It's no secret health care informatics is changing the medical landscape. With implications for provider efficiency, patient engagement, health outcomes and more, Health IT is a powerful field. More than ever, we at SBMI believe in the value of pursuing a degree in biomedical informatics.
Wednesday, June 22nd, 2016
- The health IT field, and world in general, is full of hot trends and buzzwords. One important and popular trend that is continuously gaining more traction is the practice of "precision medicine." The National Institutes of Health (NIH) defines precision medicine as "an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle for each person." President Barack Obama announced the launch of Precision Medicine Initiative (PMI) in early 2015 and that was the start of the precision medicine movement.
Wednesday, June 8th, 2016
- When prospective students want to learn more about SBMI, our admissions staff members often get this question; “What kinds of jobs can I get after completing this program?” While this is a very important item to consider before starting a new graduate program, the correct answer to that question is unique to each individual asking it.
Biomedical informatics is interdisciplinary and draws in professionals from a wide range of fields. As a result, individuals from an array of industries can find career advancement in the field. While current or recent work experience plays a role in the types of careers available to our students, educational background, past work history and areas of interest in informatics are important too.