If you're heading to #ICLR2026, here is where to find us 📅
Two accepted research papers on the poster floor, expo talk, and an ICBINB workshop feature. Booth #206 is also open throughout the main conference.
Book time with the team: www.prolific.com/iclr | #MLSky #AcademicSky
Join us today at 3:00 PM ET (12:00 PM ET) for the B2AI Discussion Forum on Emerging ELSI Issues, “Making Health AI Work: Turning Principles into Real-World Impact”, by Dr. Cora Han, Chief Health Data Officer at University of California Health. Zoom Link: bit.ly/4tUalii
#AISky #MLSky #MedSky #MedAI
#ICLR 2026 in Rio! Meet our scientists.
7 workshop papers and 7 posters co-authored by BIFOLD researchers will be presented.
All details (Date of presentation, venue, etc): t1p.de/pn00w
@iclr-conf.bsky.social @tuberlin.bsky.social @fraunhoferhhi.bsky.social @xai-berlin.bsky.social #MLSky #AI
Yes, AI scribe note quality has limitations – amplified when a consult occurs in a noisy environment, or the human comparators know they're writing a note for a head-to-head evaluation.
#medsky #mlsky
www.evidencetriage.com/p/more-on-ai...
🧵 Aggregate leaderboards conceal systematic preference disagreement across populations.
HUMAINE data shows a model's P(best) drops from 98.8% to 41.9% across evaluation dimensions. The contender changes every time you change the metric. 1/6
#MLSky #AcademicSky #Research #ICLR2026
The data only shows what we observed. What about everything else?
In this week's issue of Causal Python Weekly:
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#CausalSky #StatSky #EpiSky #EconSky #MLSky
Figure 1. Human Factors–Related Risk and Recommendation Map for AIeMDs.
Figure 2. Mapping of AIeMD Human Factors Guidance to Standard Regulatory Usability Deliverables.
Policy Corner by Z. Ding et al.: Evaluation of Human Factors–Related Risks in AI-Enabled Medical Devices — A Practical Guide nejm.ai/4uXQTTj
#AI #MedSky #MLSky
An image displaying three research papers authored by researchers from Prolific. The image also reads "Prolific is coming to ICLR 2026" and displays the Prolific booth number and conference date.
Our researchers have had two papers accepted to ICLR 2026!
Two poster sessions at the conference, plus presenting at the ICBINB workshop across the week in Rio. Thread below for information. 🧵
@iclr-conf.bsky.social #ICLR2026 #MLSky #AIResearch 🧪
Feasibility of Awake In-Office Transnasal Double Balloon Dilation of the Pharyngoesophageal Segment 🚀 Double balloon dilation of the PES is feasible in unsedated patients in the office setting: bit.ly/41IUYNJ
#BiomedicalInformatics #ArtificialIntelligence #AI #AISky #MLSky #MedSky #AcademicSky
Figure 1. Overview of the Study Design.
Figure 2. Overall Study Workflow across Datasets.
Figure 3. Model Diagram.
Original Article by Z. Ding et al.:Generating Cardiac Magnetic Resonance Images from Electrocardiograms — A Multicenter Study nejm.ai/4166ulW
#AI #MedSky #MLSky
Ever thought about the effect of your local environment on ambient scribe output?
Babies, OK. Toddlers, right out.
#medsky #mlsky
www.evidencetriage.com/p/how-much-d...
Here are four more X posts that Claude found:
**@yuntiandeng** — PAW (Papers as Workflows) thread: showcasing ToolCall-15 benchmark. Evaluates LLMs on realistic multi-step tool use. 🔗 x.com/yuntiandeng/... #MLSky #AI
x.com/yuntiandeng/...
Sharing a more personal side of this project, here's a short thread on some thoughts on the fantastic culture of research collaboration, life and work when moving across the other side of the world (UK->Japan), and generosity.
#neuroskyence #psychscisky #mlsky #academicsky #science /1
“Ensuring access to AI across rural and urban health systems is not merely about technology deployment, but whether health systems can distribute the benefits of innovation.” Perspective “The Inverse Care Law in the Age of AI — Geographic Disparities in Health Care Technology Access” by Yeon-Mi Hwang, Ph.D., Brian T. Rice, M.D., and Tina Hernandez-Boussard, Ph.D.
Perspective by Yeon-Mi Hwang, PhD, Brian T. Rice, MD, and Tina Hernandez-Boussard, PhD: The Inverse Care Law in the Age of AI — Geographic Disparities in Health Care Technology Access nejm.ai/4v0RvHx
#AI #MedSky #MLSky
And of course, I got the tags wrong. I'll take the opportunity to add more!
#neuroskyence #psychscisky #mlsky #academicsky #science
Excited to share our new preprint: "Do Machines Fail Like Humans? A Human-Centered Out-of-Distribution Spectrum for Mapping Error Alignment" led by
@binxia.bsky.social w @ken-lxl.bsky.social & co-senior author Luke Dickens (UCL)
🤖🧵👇
Link: arxiv.org/abs/2603.07462
🧠📈#PsychSciSky #compneuro #mlsky /1
Editorial Health systems need to weigh the risk of allowing these tools to be used in a compliant way against the status quo of unmonitored use without protections for patient data. “Health Systems Govern Only the Tip of the AI Iceberg” by E. Ötleş et al.
Editorial by E. Ötleş et al.: Health Systems Govern Only the Tip of the AI Iceberg nejm.ai/4sQFxz6
#AI #MedSky #MLSky
Figure 1. Human Factors–Related Risk and Recommendation Map for AIeMDs.
A new Policy Corner proposes a structured human factors framework for AI-enabled medical devices, distinguishing technical model performance from the safety and effectiveness of human interaction with #AI outputs in real-world clinical workflows. Learn more: nejm.ai/4uXQTTj
#MedSky #MLSky
Figure 1. Overview of the Study Design.
Across large, multicohort datasets, CardioNets achieved superior performance to ECG-only baselines and diagnostic accuracy comparable to CMR-based models, supporting its potential to expand access to advanced cardiovascular assessment. Full study results: nejm.ai/4166ulW
#AI #MedSky #MLSky
Figure 1. Health Care Needs and Resources by Rural–Urban Classification Using the 2013 National Center for Health Statistics Urban–Rural Classification Scheme for Counties.
A new Perspective examines the misalignment between health needs, health care resources, and #AI implementation capacity, demonstrating that Hart’s inverse care law persists in the AI era. Read the full Perspective: nejm.ai/4v0RvHx
#MedSky #MLSky
Figure 1. The AI Governance Iceberg Demonstrating Visible and Hidden AI Use in Health Care.
Health systems’ lack of engagement with consumer #AI tools worsens their risk by eliminating institutional visibility and protections. Ötleş et al. describe the scope of this problem and why health systems need to reform their approach to AI governance. nejm.ai/4sQFxz6
#MedSky #MLSky
Figure 3. Clinical Impact Study.
Original Article by H.-Y. Zhou et al.: MedVersa: A Generalist Foundation Model for Diverse Medical Imaging Tasks nejm.ai/4bVAiYz
#AI #MedSky #MLSky
Is Half of All Advertising Spend Wasted?
In this week's issue of Causal Python Weekly:
- David Rohde on why even granular digital data often can't tell you which half of your ad budget is working
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#CausalSky #EconSky #EpiSky #StatSky #MLSky
No one opts out of health care. That’s the moral and operational reality. On NEJM AI Grand Rounds, Dr. Kyunghyun Cho argues #AI should help systems care better under constraints. If a tool can’t reduce friction at the bedside, what is it really for? Full episode: nejm.ai/ep40
#MedSky #MLSky
Figure 1. Strengthening the Reporting of Observational Studies in Epidemiology Inclusion Flowchart.
Figure 2. Transitions in Care Intentions from Preassessment to Postassessment Time Points.
Figure 3. Transitions between Preassessment Intentions and Actual Behavior.
Original Article by F. Cotte et al.: From Advice to Action — Real-World Behavior of Patients Using an Integrated Diagnostic Decision Support System for Navigating the Health Care System nejm.ai/4rENohz
#AI #MedSky #MLSky
Sometimes expertise becomes a trap. On NEJM AI Grand Rounds, Dr. Kyunghyun Cho reflects on how we can reconsider our perspective to unlock progress. Hear more from Dr. Cho in the full episode: nejm.ai/ep40
#AI #MedSky #MLSky
We Often Think About Randomized Trials as "the Gold Standard" for Causal Inference.
And yet we almost as often forget to ask what information they provide and under what circumstances.
1/
#CausalSky #EconSky #EpiSky #StatSky #MLSky #ABTesting
1/7 🧠 HUMAN NEURONS LEARN TO PLAY DOOM ON A CHIP 🧠
Scientists witness 200,000 living brain cells navigating the 1993 shooter.
This breakthrough blends biology and silicon, redefining computing.
Source: Deni Béchard,
Scientific American
#AISky #MLSky #MedSky #BioComputing #Doom
