Deena Mousa
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deenamousa.com
Deena Mousa
@deenamousa.com
Global health & development at Open Philanthropy

https://newsletter.deenamousa.com/
The “AI bubble” may be less catastrophic than it sounds. Even if it pops, it’s leaving behind real infrastructure, much like past bubbles did. My take for @TheMorningNews.org 2025 year-in-review post:
January 6, 2026 at 1:30 PM
Reposted by Deena Mousa
And I thought this was pretty interesting from @deenamousa.com
January 2, 2026 at 8:36 PM
New post: ML trained on phone usage data can help identify households in need during crises.

Not yet finalized your end of year giving? I've teamed up with GiveDirectly along with a few other Substackers, and I’ll be matching the first $500 in donations through the link in post.
December 22, 2025 at 2:19 AM
PainChek Adult was offered de novo FDA clearance this week, and engineers are now adapting the code for the very youngest patients. PainChek Infant targets babies under one year, whose grimaces flicker faster.
October 15, 2025 at 5:49 PM
Data shows a ~25% drop in anti­psychotic use and, in Scotland, a 42% reduction in falls from use. One clinician mentioned that residents who had skipped meals because of undetected dental pain began eating again, and those who were isolated due to pain began socializing.
October 15, 2025 at 5:49 PM
Linking the scan to a human‑filled checklist was, they admit, a late design choice. Initially, they thought AI should automate everything but found that hybrid use yielded better results...
October 15, 2025 at 5:49 PM
There are several devices in clinical use today, like PainChek, a smartphone app that scans the facial expressions of people who have dementia and uses AI to output an expected pain score to inform their care.

They also record data for the patient and facility over time.
October 15, 2025 at 5:49 PM
Just out in @technologyreview.com: I look at the companies using AI to measure how much pain patients are in based on everything from involuntary facial movements, to heart rate, to peripheral temperature changes.

Will this oust the classic self-reported 1-10 scale?
October 15, 2025 at 5:49 PM
October 15, 2025 at 1:34 PM
A new paper in the Lancet finds that doctors got *worse* at finding precancerous growths during colonoscopies on their own if they had just spent three months using an AI assistive tool

Worrisome sign that deskilling may happen a lot faster than we'd expect.
October 15, 2025 at 1:34 PM
October 15, 2025 at 4:00 AM
We also don't fully understand why many people experience phantom limb pain, and many others don't
x.com/deenamousa/...
October 15, 2025 at 4:00 AM
When more automation means more human workers
A look at elasticity of demand
newsletter.deenamousa.com
October 7, 2025 at 2:13 PM
There are exceptions to this rule, though; the rise in mobile banking eventually did reduce bank teller employment. If the technology fully replaces human inputs, or drives efficiency gains so large they outpace the increase in demand, jobs will be lost.
October 7, 2025 at 2:13 PM
In each of these cases, employment holds steady, but the skill mix changes. The work gets more complex as machines take over the simplest tasks.
October 7, 2025 at 2:13 PM
This can happen in other fields too — for example, spreadsheets didn't get rid of accountants, but rather made them more in demand than before. In law, predictive coding and e-discovery tools reduce grunt work but let firms take on more complex cases.
October 7, 2025 at 2:13 PM
This is an example of Jevons paradox: when tech makes something cheaper or more efficient to use, we'd expect to use less of it and achieve the same result. But in some cases, people use *more* of the good because it's more accessible.
October 7, 2025 at 2:13 PM
When ATMs spread across the U.S., you'd expect bank tellers to be laid off en masse. But teller employment actually rose during the 2000s, growing 2% annually.

By reducing the cost of operating bank branches, ATMs made it possible for banks to open more locations.
October 7, 2025 at 2:13 PM
New post: When can more automation mean more human workers?

One argument I made in my recent @worksinprogress.bsky.social piece is that if automation made reading scans quicker and cheaper, this might result in *more* jobs for radiologists, rather than fewer.

How does this apply to other jobs? 🧵
October 7, 2025 at 2:13 PM
If you enjoyed the article, I write about health, economic development, and scientific and technological progress here: newsletter.deenamousa.com/
Under Development | Deena Mousa | Substack
Writing about global health and development. Click to read Under Development, by Deena Mousa, a Substack publication.
newsletter.deenamousa.com
September 25, 2025 at 1:53 PM
AI radiology today is powerful, but it consists of many narrow islands of automation that have failed to replace radiologists' time.

This isn't the full picture. Read more in the @worksinprogress.bsky.social piece: worksinprogress.co/issue/the-a...
The algorithm will see you now - Works in Progress Magazine
Radiology combines digital images, clear benchmarks, and repeatable tasks. But replacing humans with AI is harder than it seems.
worksinprogress.co
September 25, 2025 at 1:53 PM
On top of this, datasets are still a barrier for some scans and patient populations. Even with 700+ FDA-approved imaging AIs, they cover only a fraction of real-world work; most cluster around a few conditions like stroke, breast cancer, or lung cancer.
September 25, 2025 at 1:53 PM
There’s another catch: many models struggle outside the hospital they were trained in. In 2024, 38% of FDA-cleared radiology AIs were tested on data from just one hospital. Move them elsewhere, and accuracy can drop by up to 20 percentage points.
September 25, 2025 at 1:53 PM