Tessera

Time for another #ThrowbackThursday! If you haven’t seen our “Statistically Speaking” session from February, “Aligning your study design with the hypothesis of interest,” you can watch it here! www.youtube.com/watch?v=flqf... “Statistically Speaking” resumes September 16!

How do occupational therapists feel about AI? This team of researchers asked OTs about their familiarity with AI tools and ethical concerns they have with using AI in healthcare settings. onlinelibrary.wiley.com/doi/full/10....

Occupational therapists' perceptions of artificial intelligence: Potential, preparedness, and training needs

Introduction Artificial intelligence (AI) is transforming health care, yet its impact on occupational therapy remains underexplored. This study investigated occupational therapists' perceptions of A...

onlinelibrary.wiley.com

It’s #ThrowbackThursday again! Watch our April session of “Statistically Speaking,” “The Good, the Bad, and the Simulated: Power Analysis with Repeated Measures” on YouTube! www.youtube.com/watch?v=A98E... “Statistically Speaking” will continue September 16!

A recent retrospective study tested three different machine learning models to identify predictors of favorable outcomes post-ischemic stroke: www.nature.com/articles/s41...

Machine learning for predicting functional outcomes in acute ischemic stroke: insights from a nationwide stroke registry - Scientific Reports

Scientific Reports - Machine learning for predicting functional outcomes in acute ischemic stroke: insights from a nationwide stroke registry

nature.com

📢 Announcing a new round of the DAPR Center’s Pilot Grant Program! 🔎 We aim to support research projects that advance the use of data science to aggregate and harmonize rehabilitation data. ℹ️ More information and the complete Request for Proposals at dapr.usc.edu/grants

Another post for #ThrowbackThursday! Have you seen our May session of “Statistically Speaking” yet? “Reporting a Power Analysis (or Other Sample Size Justification) in a Paper” is on YouTube! www.youtube.com/watch?v=lJbq... The “Statistically Speaking” series continues September 16!

A recent systematic review looks at how machine learning can be used to personalize virtual reality-based interventions for post-stroke rehabilitation: www.frontiersin.org/journals/reh...

Frontiers | Machine learning-based adaptive personalization in virtual reality stroke rehabilitation: a systematic review

BackgroundStroke is the second leading cause of disability worldwide. Recently, VR has been seen as a new therapeutic tool. Many existing VR systems rely on ...

frontiersin.org

#ThrowbackThursday— did you know all of our previous “Statistically Speaking” webinars are on YouTube? Watch our June session, “A Priori Power, Post Hoc Power, and Sensitivity Analysis” here: youtu.be/l2BMT30P2yo?... The “Statistically Speaking” series continues on September 16!

Our latest DAPR Community Spotlight is out! This month, we feature Sandy Hanebrink, an occupational therapist and Paralympic medalist! dapr.usc.edu/blog/communi...

These researchers developed a tool using machine learning to predict activities of daily living recovery in patients with subacute stroke: www.frontiersin.org/journals/neu...

Frontiers | Development and validation of a nomogram for predicting ADL outcomes in patients undergoing subacute stroke rehabilitation based on machine learning and standard bedside clinical data: a r...

BackgroundThe subacute phase is a key period for stroke recovery, yet there is a lack of simple and effective indicators to predict rehabilitation outcomes. ...

frontiersin.org

This study shows how machine learning can be used to find new relationships between factors that would influence return to work following rehabilitation for musculoskeletal disorders: link.springer.com/article/10.1...

Machine Learning to Predict Return to Work After Medical Rehabilitation for Musculoskeletal Disorders: A Retrospective Cohort Study - Journal of Occupational Rehabilitation

Purpose This study aimed to identify and quantify the contribution of various features and their interactions to the prediction of return to work (RTW) following medical rehabilitation due to musculos...

link.springer.com

DAPR Center @daprdata.bsky.social · 4mo ago

Check out this article about a new app that combines occupational therapists’ expertise with AI-powered analysis to make accessibility recommendations and prevent injuries for New Mexico seniors! searchlightnm.org/albuquerque-...

Albuquerque company uses AI to make homes more accessible for seniors, those with disabilities | Searchlight New Mexico

The platform uses augmented reality and occupational therapists to help residents identify and address potential hazards.

searchlightnm.org

📊 Join us on our next “Statistically Speaking” webinar: “A Priori Power, Post-Hoc Power, and Sensitivity Analysis” with Dr. Kristin Sainani and Dr. Regina Nuzzo! 🗓️ June 17 @ 3 pm ET ✉️ RSVP here: docs.google.com/forms/d/1jn6...

🚨 We are happy to announce that the deadline to submit a Letter of Intent (LOI) to apply to our Pilot Grant Program has been extended! 🗓️ The new LOI deadline is Tuesday, May 26 🗓️ Full Proposal due Friday, May 29 ℹ️ More information at our website: dapr.usc.edu/grants

⌛️ Just two more days to submit your Letter of Intent to apply to our Pilot Grants Program! 🗓️ Letter of Intent due May 15 🗓️ Full proposal due May 29 ℹ️ More information at our website: dapr.usc.edu/grants

📊 Join us on our next “Statistically Speaking” webinar: “Reporting a Power Analysis (or Other Sample Size Justification) in a Paper” with Dr. Keith Lohse! 🗓️ May 13 @ 3 pm ET ✉️ RSVP here: docs.google.com/forms/d/1jn6...