Intelligent Health Lab (i-Heal) is a research lab at @UF developing machine learning and artificial intelligence methods for solving healthcare problems.
About us: Intelligent Health Lab (i-Heal), directed by Dr. Parisa Rashidi (@Parisa__Rashidi), is a collaborative research lab at @UFBME working on developing machine learning and artificial intelligence methods for solving healthcare problems.
Welcome our new members to the @UFiHealLab!
Miguel Contreras, Biomedical Engineering, PhD Student
Kia Khezeli, Electrical and Computer Engineering, Adj Prof
Jiaqing Zhang, Artificial Intelligence, PhD Student
@UFHealth@UFMedicine@UFatWork#ai#ml#MachineLearning
Congratulations to Leeor Herschkovich on winning the Outstanding Research Award at @UFBME Undergraduate Research Day for his impressive work on "Speech-based detection of Cognitive Decline". Congratulations, Leeor! @UFWertheim@Ufresearch
We are seeking a deep learning and computer vision researcher to join the Intelligent Critical Care Center (IC3). The ideal candidate will have experience in data science, deep learning, computer vision, image processing, and will be proficient in PyTorch, TensorFlow, or Keras.
“Surgical patients incur preventable harm from cognitive and judgement errors. This review seeks to promote an understanding of decision analysis and reinforcement learning in surgical decision making.”
Review the article here: ow.ly/jb3250GyHAo
Congratulations to Benjamin Shickel, PhD for his new appointment as Assistant Professor at the University of Florida! We look forward to continue working with you on @UFiHealLab and @UFprismap projects!
Join ASN for a free upcoming webinar on Artificial Intelligence for #AKI: Is It Really Elementary, My Dear Watson?
The webinar will take place on Tuesday, September 14, at 3 pm EDT!
You can register now:
asn-online.org/AKIIsItReally…
We're seeking a motivated researcher to join the Intelligent Health Lab (i-Heal) at UF as a Postdoctoral Associate. We transform ICU patient care by developing autonomous monitoring tools using advanced machine learning techniques. Learn more & apply: ow.ly/wg7t50FXi9n
ALT Promotional Flyer with I-S-N logo and title saying: "How to achieve equitable, inclusive and ethical AI development and implementation". The image shows photos of Dr. Bihorac and Dr. Rashidi with graphic outlines of 3 kidneys in the background.
Image text reads:
Dr. Bihorac and Dr. Rashidi, leaders in AI research at the University of Florida, will join Yoshua Bengio from Quebec AI Institute to discuss issues surrounding responsible innovation in digital health and artificial intelligence.
Learn about:
New digital innovations to provide better health care.
Conditions required for digital innovations and AI to offer positive and socially acceptable changes for health care.
How to implement digital environments to impact health.
Saturday, April 17th 4:00-5:00am EST
Monday, April 19th 2:00-3:00pm EST
Join us: www.theisn.org/wcn
The #ISNWCN kicks off next week! Be sure to tune in to the sessions featuring our lab director @Parisa__Rashidi.
Learn more about the congress Dr. Rashidi's motivations behind her talk during the session about #AIEthics in nephrology:
bme.ufl.edu/labs/rashidi/202…
ALT Promotional Flyer with I-S-N logo and title saying: "How to achieve equitable, inclusive and ethical AI development and implementation". The image shows photos of Dr. Bihorac and Dr. Rashidi with graphic outlines of 3 kidneys in the background.
Image text reads:
Dr. Bihorac and Dr. Rashidi, leaders in AI research at the University of Florida, will join Yoshua Bengio from Quebec AI Institute to discuss issues surrounding responsible innovation in digital health and artificial intelligence.
Learn about:
New digital innovations to provide better health care.
Conditions required for digital innovations and AI to offer positive and socially acceptable changes for health care.
How to implement digital environments to impact health.
Saturday, April 17th 4:00-5:00am EST
Monday, April 19th 2:00-3:00pm EST
Join us: www.theisn.org/wcn
#MachineLearning approaches that use electronic health record data and support perioperative clinical decision-making are on the rise.
We wrote about the key challenges in latest studies that use these methods & future directions of research:
ja.ma/3deXXUg@UFBME
ALT Promotional Flyer with I-S-N logo and title saying: "How to achieve equitable, inclusive and ethical AI development and implementation". The image shows photos of Dr. Bihorac and Dr. Rashidi with graphic outlines of 3 kidneys in the background.
Image text reads:
Dr. Bihorac and Dr. Rashidi, leaders in AI research at the University of Florida, will join Yoshua Bengio from Quebec AI Institute to discuss issues surrounding responsible innovation in digital health and artificial intelligence.
Learn about:
New digital innovations to provide better health care.
Conditions required for digital innovations and AI to offer positive and socially acceptable changes for health care.
How to implement digital environments to impact health.
Saturday, April 17th 4:00-5:00am EST
Monday, April 19th 2:00-3:00pm EST
Join us: www.theisn.org/wcn
ALT Promotional Flyer with I-S-N logo and title saying: "How to achieve equitable, inclusive and ethical AI development and implementation". The image shows photos of Dr. Bihorac and Dr. Rashidi with graphic outlines of 3 kidneys in the background.
Image text reads:
Dr. Bihorac and Dr. Rashidi, leaders in AI research at the University of Florida, will join Yoshua Bengio from Quebec AI Institute to discuss issues surrounding responsible innovation in digital health and artificial intelligence.
Learn about:
New digital innovations to provide better health care.
Conditions required for digital innovations and AI to offer positive and socially acceptable changes for health care.
How to implement digital environments to impact health.
Saturday, April 17th 4:00-5:00am EST
Monday, April 19th 2:00-3:00pm EST
Join us: www.theisn.org/wcn
Congrats to Dr. Parisa Rashidi & her Co-PI, Dr. Azra Bihorac, for receiving a $2.4M RO1 grant from the @NIH NIBIB to develop novel tools for sensing, quantifying, & communicating any patient's condition in an autonomous, precise, & interpretable manner. bme.ufl.edu/28199-2/