#MLsky

2 days ago

What changes when researchers get foundation models? On NEJM AI Grand Rounds, Seth Hain, senior VP of R&D at Epic (@hey.epic.com), sees broader clinical insight. Learn more: nejm.ai/ep39

#MedSky #AI #MLSky

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2 days ago

Very Handy!

The latest version of CausalPy introduces a new piecewise interrupted time series (ITS) class.

CausalPy is a popular Python library for modeling quasi-experimental data.

The new version comes with a brand new...

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#CausalSky #EconSky #EpiSky #MLSky #StatSky

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3 days ago

Page 1 of the editorial "Which Human-in-the-Loop? Why Context, Culture, and Health Systems Matter" Read the full editorial at ai.nejm.org.

Editorial by Charlotte J. Haug, MD, PhD, and Ewen M. Harrison, OBE, FRCS, FRSE, FMedSci: Which Human-in-the-Loop? Why Context, Culture, and Health Systems Matter nejm.ai/3OYAi0Q

@chaug.bsky.social #AI #MedSky #MLSky

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4 days ago

Fortifying Robustness in Graph Neural Networks: A Loss Correction Approach to Mitigate Label Noise

ieeexplore.ieee.org/document/114...

#MLSky

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4 days ago

Table 1. Explanatory Summary of the European Health Data Space Regulation.

Policy Corner by P. Cervera de la Cruz et al.: Driving AI Health Innovation through the European Health Data Space: Opportunities and Challenges for Non-EU Country Participation nejm.ai/3MEBq9o

#AI #MedSky #MLSky

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On consciousness in animals and in artificial intelligence | Journal of Neurophysiology | American Physiological Society In recent years, numerous publications have emerged claiming that animals possess consciousness. Moreover, neurophysiological literature has discussed the possible existence of consciousness in artificial intelligence (AI). Both ideas stem from analyses of the behavior of animals and AI systems. Here, I argue that it is impossible to draw conclusions about animal consciousness based solely on their behavior. Addressing the question of animal consciousness requires an understanding of its neuronal mechanisms, and the challenge lies in whether these mechanisms can be understood. Views on this issue diverge widely, ranging from Cartesian dualism, which denies any neuronal mechanisms of consciousness, to the opposing position that consciousness is one of cognitive functions whose underlying mechanisms can be understood. Here, I support the latter view. In contrast, the problem of AI consciousness belongs to the field of computer science rather than neurophysiology. Even if artificial intelligence were to acquire consciousness in the future, it would be an AI-specific form of consciousness bearing little relation to human consciousness. Consequently, insights into the mechanisms underlying AI consciousness are unlikely to advance our understanding of human consciousness.

5 days ago

On consciousness in animals and in artificial intelligence

journals.physiology.org/doi/abs/10.1...

#neuroskyence #MLSky

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Learning collision risk proactively from naturalistic driving data at scale - Nature Machine Intelligence Jiao et al. introduce a generalized safety measure for autonomous driving systems that learns collision risk from everyday driving without labels. It accurately warns in real time of crashes and near-...

6 days ago

Learning collision risk proactively from naturalistic driving data at scale

www.nature.com/articles/s42...

#MLSky

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@betterthanrandom.substack.com

6 days ago

Figure 1. Conceptual Overview of the Multitask Deep Learning Framework for Deriving a Brain Health Latent Space from Sleep EEG.

Original Article by W. Ganglberger et al.: Brain Health from Sleep EEG: A Multicohort, Deep Learning Biomarker for Cognition, Disease, and Mortality nejm.ai/4sbnrqw

#AI #MedSky #MLSky

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Better than Random

6 days ago

betterthanrandom.substack.com/p/the-fate-o...

#databs #MLSky

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How Do Symptom Navigators Affect Patient Actions? Or, what did Ada Health report about using Ada Health?

1 week ago

What a Week!

We literally had too many topics to fit into one newsletter this week.

Here's what we picked:

- Alberto D. Horner reviews the brand new book by Quentin Gallea, PhD

- David Rohde on why policies are stochastic in reinforcement learning

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#CausalSky #StatSky #EconSky #EpiSky #MLSky

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Ryan Radecki MD MS

@www.evidencetriage.com

1 week ago

Everyone wants a symptom checker, a navigator, a chatbot – you name it – to magically direct patients to the "correct" next step in care.

Well, this is what Ada Health is claiming their symptom digester will do:
#medsky #mlsky
www.evidencetriage.com/p/how-do-sym...

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BIFOLD Berlin Institute for the Foundations of Learning and Data

@bifold.berlin

1 week ago

BIFOLD at #WACV2026 will present #GeoRank.

Meet the researcher: Mar 9, 26; 1:30 pm; Oral Session 5B: Remote Sensing and Sensors.

More: t1p.de/8lcqx

#earthobservation #remotesensing @tuberlin.bsky.social #GIS #geospatial #computervision #gischat #thescienceofwhere #dataviz #openaccess #MLsky

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1 week ago

Page 1 of "Response: Metaphors and Errors in Describing Large Language Models" Read the full letter at ai.nejm.org.

Gerald Wiest, MD, FAAN, and Oliver H. Turnbull, PhD, respond to a letter about their Perspective “Faulty Artificial Intelligence, or the Sleep of Reason.” Read the full response: nejm.ai/4rBUqUZ

#AI #MedSky #MLSky

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1 week ago

Page 1 of the letter "Spillover Effects in Randomized Evaluations of Translational AI" Read the full letter at ai.nejm.org.

In a letter, Sean Mann, MSc, and Carl T. Berdahl, MD, MSc, comment on the Perspective “Evaluating Translational AI: A Two-Way Moving Target Problem.” Read the full letter: nejm.ai/4seuNK1

#AI #MedSky #MLSky

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Neural Tuning for Ordinal Processing: Convergent Patterns in Human Brains and Artificial Networks Processing ordinality, i.e., the rank of an item in a series such as 1st, 2nd, 3rd, etc., is a fundamental skill shared by humans and animals. While humans often use symbolic sequences like numbers or...

1 week ago

Neural Tuning for Ordinal Processing: Convergent Patterns in Human Brains and Artificial Networks

www.jneurosci.org/content/46/9...

#MLSky

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Prolific

@joinprolific.bsky.social

1 week ago

Google DeepMind's Crystal Qian raises that while most RLHF evaluation pipelines remain static and single-user, models are increasingly deployed in dynamic, multi-party settings.

She underlines human-centric augmentation evaluations.

Discussion → youtu.be/Mk9EFnXfBxA | #AcademicSky #MLSky #Research

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@electricbluesfan.bsky.social

1 week ago

Editorial Keeping humans in the loop is not a sufficient safeguard unless the right humans are empowered at the right points in the system. “Which Human-in-the-Loop? Why Context, Culture, and Health Systems Matter” by Charlotte J. Haug, M.D., Ph.D., and Ewen M. Harrison, O.B.E., F.R.C.S., F.R.S.E., F.Med.Sci.

A new editorial examines why “human-in-the-loop” oversight in medical AI is not a single safeguard but a set of roles that must be deliberately designed, and it argues that effective oversight must be adapted to local health systems, cultures, and values. nejm.ai/3OYAi0Q

#AI #MedSky #MLSky

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RichardJR

1 week ago

1/7 🖥️ APPLE UNVEILS MACBOOK PRO WITH M5 PRO & MAX 🖥️

The world's best pro laptop just raised the bar.

The new M5 chips deliver unprecedented AI capabilities, faster SSDs, and up to 24 hours of battery.

Source: Lizette Du Pond, Apple
#Apple #MacBookPro #AISky #MLSky #GenerativeAI #DataSky

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1 week ago

“In the complex and uncertain world of health AI regulation, experimentation with innovative approaches is welcome. But successful experimentation requires careful evaluation of the benefits and risks of each approach and judicious policy development based on those findings.” Policy Corner “TEMPO: Experimenting with AI Sandboxes in the United States” by David Blumenthal, M.D., M.P.P.

A new article on the FDA’s TEMPO pilot to use sandboxes for selected digital devices, including health AI, cautions that while it has several appealing features, important questions about its implementation and longer-term implications remain. Learn more: nejm.ai/3OGFHJU

#AI #MedSky #MLSky

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1 week ago

Page 1 of the Policy Corner article "TEMPO: Experimenting with AI Sandboxes in the United States" Read the full article at ai.nejm.org.

Policy Corner by David Blumenthal, MD, MPP: TEMPO: Experimenting with AI Sandboxes in the United States nejm.ai/3OGFHJU

@davidblumenthal.bsky.social #AI #MedSky #MLSky

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1 week ago

“The [European Health Data Space] could set de facto international norms well beyond Europe, making it essential for global stakeholders to stay attuned to its evolving implementation.” Policy Corner “Driving AI Health Innovation through the European Health Data Space: Opportunities and Challenges for Non-EU Country Participation” by P. Cervera de la Cruz et al.

This Policy Corner examines the European Health Data Space, a new European Union regulation establishing a legal, technical, and ethical framework for cross-border access to and sharing of health data to accelerate #AI innovation in health care. Learn more: nejm.ai/3MEBq9o

#MedSky #MLSky

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5 Minute Papers on AI for the Planet Learn about how AI can be used to protect biodiversity, fight climate change, and just better understand our planet through 5-minute explainers covering academic papers on AI for the Planet. AI is not...

1 week ago

Original Article | Feb 26, 2026 Brain Health from Sleep EEG: A Multicohort, Deep Learning Biomarker for Cognition, Disease, and Mortality W. Ganglberger and Others A visual representation of the study.

This study demonstrates that an end-to-end, multitask deep learning framework applied to overnight sleep electroencephalography can derive a latent representation of brain health distilled into a single, interpretable score. Full study results: nejm.ai/4sbnrqw

#AI #MedSky #MLSky

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Grace Lindsay

@neurograce.bsky.social

1 week ago

I just released the 10th episode of my YouTube series on how AI is used to help the planet. These first 10 papers cover a range of topics (conservation, energy, forecasting...) & methods (multi-modal, time series, uncertainty...) So in <1 hr you can get a wide overview of the field! #ccai #mlsky 🤖 📈

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@betterthanrandom.substack.com

1 week ago

More data isn’t magic, but it is predictable. On NEJM AI Grand Rounds, Seth Hain explains why scaling works in structured medical data. Hear more from the senior VP of R&D at Epic (@hey.epic.com): nejm.ai/ep39

#MedSky #AI #MLSky

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Better than Random

1 week ago

betterthanrandom.substack.com/p/the-next-h...

#databs #MLSky

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A Radiology Swing and Miss Miss rate too high for even this simple clinical question.

1 week ago

The Optimal Split for an A/B Test Is 50:50

Unless...

I recently saw a post explaining why the optimal split between treatment and control groups should be 50:50.

The optimal split is indeed 50:50, but only under one assumption:

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#CausalSky #StatSky #ABTest #EpiSky #MLSky #EconSky

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Ryan Radecki MD MS

@www.evidencetriage.com

2 weeks ago

Can we offload some simple, routine radiology to AI? Not quite yet – and this is why uptake is so hard, because it requires workflows to be precisely designed as to augment a human-in-the-loop, not disrupt.
#medsky #MLsky
www.evidencetriage.com/p/a-radiolog...

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2 weeks ago

You Train Your Robot in August, It Trashes Your Garden in September.

In today's issue of causal Python Weekly:

- Causal POMDPs (Partially Observed Markov Decision Processes): Planning when the world changes - a review of...

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#CausalSky #MLSky #AISky #EconSky #StatSky

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