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stuartbman

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explainthispaper.com 4y ago

The Oracle of Halicin: A Deep Learning Approach to Antibiotic Discovery

stuartbman
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explainthispaper.com 4y ago

The Oracle of Halicin: Antibiotic Discovery in the Age of AI

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explainthispaper.com 4y ago

AI sepsis prediction algorithm learns to say “I don’t know”

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explainthispaper.com 4y ago

The false hope of Explainable AI

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explainthispaper.com 4y ago

The false hope of current approaches to explainable AI in health care

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explainthispaper.com 4y ago

BERT pretrained on clinical notes doesn't leak sensitive data

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explainthispaper.com 4y ago

ExplainThisPaper- Scientific papers for AI in healthcare, explained

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explainthispaper.com 4y ago

Why Can't Epic's AI model Detect Sepsis?

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explainthispaper.com 4y ago

Medical image generation: a comprehensive evaluation

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explainthispaper.com 4y ago

AI Better Predicts Pain in Black Patients

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explainthispaper.com 4y ago

Federated learning for predicting clinical outcomes in patients with Covid-19

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twitter.com 4y ago

Disfigurement ≠ Villainy

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explainthispaper.com 4y ago

AI Recognises Race in Medical Images

stuartbman
128pts334
explainthispaper.com 4y ago

Why (another) AI sepsis predictor failed in external validation

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www.ons.gov.uk 4y ago

Census unearthed- 50 years of change in the UK from 1961

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explainthispaper.com 5y ago

Where AI (doesn't) fit into healthcare

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explainthispaper.com 5y ago

Detecting heart failure in 'Normal' ECGs

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explainthispaper.com 5y ago

A review of research trials finds they are rigged to exaggerate AI performance

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explainthispaper.com 5y ago

Research trials are designed to exaggerate AI performance compared to doctors

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explainthispaper.com 5y ago

Where AI does (and doesn't) fit into healthcare

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explainthispaper.com 5y ago

Using the Cynefin framework to deploy AI in healthcare

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explainthispaper.com 5y ago

Why an interpretable Covid mortality prediction model failed in the real world

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explainthispaper.com 5y ago

Holding medical AI trials to a higher standard

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explainthispaper.com 5y ago

New Guidelines for Clinical Trials with AI- Consort and Spirit

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explainthispaper.com 5y ago

Secure and blinded medical data analysis with OpenSAFELY

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explainthispaper.com 5y ago

Secure, blinded medical data analysis with OpenSAFELY

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explainthispaper.com 5y ago

Has AI 'solved' protein folding?

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stumaitland.medium.com 5y ago

The seeds of lockdown were sown 300M years ago

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www.reddit.com 5y ago

Majority of Scots Wiki written by US teenager with no knowledge of language

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www.telegraph.co.uk 9y ago

British NHS DDOS attacks itself via email sent to 1.2M staff

stuartbman
26pts12

The difficulty with the generation study is that there is no way to selectively opt in/out; your child is sequenced and then the data is retained until you opt out (at which point it is still retained as part of historical releases). It isnt ringfenced for medical research and can be accessed by pharmaceutical companies. It isnt even kept by the NHS but rather by a private arms-length body of the government which could be privatised under a change of leadership. We've seen failures with UK Biobank data security, why would this be any different?

Unsurprising. There's a poor economic argument for funding healthcare in the UK, other than it being used as a political football to win votes. The result is decades of underfunding and then massive tranches of funding to make headlines which has to be spent immediately and therefore gets squandered on "transformation initiatives" without a focus on health outcomes.

The public are being told that the UK can't afford to pay healthcare staff market rates, and so they are all leaving the NHS. The result is this dip in GDP, which IMO is more expensive.

Explain This Paper 5 years ago

Just finding this now after noticing the traffic spike (thanks!). Yes we are playing with doing this, however to be honest it's a very challenging task. You can extract the 'key information' from a paper, but abstractly summarising concepts is a bit more challenging. Probably the way forward will be a tool-assisted approach to aid humans to write better.

Really disappointing to see a whole host of inaccuracies in this article, even beyond the artistic license you'd expect for the New Yorker. My own area of knowledge is in neuroscience so I'd focus on this.

For instance, while its somewhat correct that nerve signals are binary, insofar as they are all-or-nothing, and yet activity is highly analogue, with specific groups of neurons firing together in pre-programmed bursts & rhythms. This has been one of the challenges in producing BCIs

Sure, but its the corner of two rooms on two floors. Depending on what your house looks like, that's quite an undertaking to fit, it's destructive to the house, and doesn't replace your need for stairs.

I can see the use of this for neurological disease, but far and away the most common reason for a stairlift is frailty (or sarcopenia, to be more precise) along with other musculoskeletal conditions like osteoarthritis. Generally in sarcopenia you lose much more quadriceps strength, such that you find it difficult to stand up out of a chair, which is precisely the motion of how this is propelled. I'd therefore find this difficult to justify.

Secondly, stairlifts work because they are retrofitted into people's homes. This would require quite considerable changes to fit, and possibly loss of an upstairs room to make it work.

Everyone in the comments discussing the UX of scrolling in this setting- this is exactly how you look through a CT scan! And in the different planes, as in this page. Sure a slider is useful, but I think this is really authentic.

Hey HN, I've been sharing some of the articles about this website that I've set up for a little while, and been developing it based on your feedback. The aim is to simplify/explain/debullshit papers about AI in healthcare so that patients and doctors can better understand, use and trust them. I think it's now at the point of being feature-complete, and we've got about 75 papers summarised on there now, but would love any thoughts on this.

Yes this is why I'm not sure how it's been tested. In the scientific literature in many cases the data is anonymised and made available publicly or to those interested, but you can't always anonymise the data adequately, so an audit process might be necessary

Completely agree. I've not seen it tested legally, but the EU now has a 'right to explanation' where automated decisions are made about people. This would prohibit closed ML from most arenas.

One of the problems with closed models is that any model can be found to train on the 'wrong' data point. So e.g. a chest x ray reader determines that images taken with the machine in ICU indicate sicker patients than elsewhere- that's not useful. If you can't inspect the model to check that, they might claim superior performance, but then the model doesn't work as well as advertised when it's tried out. Other biases might occur as well- for instance you can imagine a 'Greyball for healthcare' with the wrong incentives which recommends a certain drug/therapy more often than it should.

Granted this is the review of a single model, but given that it's by one of the big players in the EMR space, it shows how challenging this problem is. Sepsis is easy to under-recognise, and difficult to identify reliably without lots (and lots) of false alarms.

Anecdotally, my university has been paying for fewer and fewer journal subscriptions. I was looking through the literature the other day and about half of the articles I needed to access weren't subscribed to by my (large, redbrick) university. I believe this is a shift recognising that academics will just skirt the access via sci-hub as a way for universities to trim their library budgets.

Most journals are hybrid now, and offer a choice when publishing- either it's free for the author but kept behind a paywall, or the author pays up front. The article processing charges are really expensive- BMJ is £3,500, Lancet $5000, Cell $5,200 etc, although some major funders have arranged 'site licenses' with publishers so that all their funded research can be published open access without charge to the scientist.

I'm very aware that I'm a HN novice, but can I ask why my post title was edited? The new title is much less descriptive, and x-rays are different from medical images, after all.

I would absolutely be harsh on this. There might well be reasons why they didn't include the other 54- perhaps these were the only 6 to maintain cognitive function sufficiently to continue to receive the treatment, or even be alive!

This is why we analyse on an intention-to-treat basis rather than who actually received the treatment. The publication makes no such attempt to explain this potential source of bias.

My concern would actually be the ventilation. It looks like the access hatch goes straight down from the floor of the workshop. He often seems to have various machinery in there and I'd be concerned that a gas leak could flow into the tunnel and push out the oxygen, making it an asphyxiation risk.

I hope he's mitigated this because there are documented cases of unaware first responders trying to save those in enclosed spaces and themselves asphyxiating.

Medical students in the UK were forced into incontinence for their exams due to proctoring failures. The same has also been happening with doctors doing their postgraduate exams.

This represents the current research interest in the UK nicely. There is currently a wide gap between lifespan and 'healthspan'- the duration in which someone is independent and healthy. This leads to high care costs, and combined with an ageing population is a recipe for economic disaster. If we can e.g. prevent decline in muscle strength (sarcopenia) we can potentially help people to live independently for longer (this is my own research focus)

The issue is that sepsis is very poorly defined, difficult to distinguish from other conditions, and very serious if missed. This means that I get automated alerts for patients all day querying sepsis, but probably only 5% (maybe fewer) have any signs of infection clinically. This reflects clinical practice where we overtreat initially and then row back treatment if things improve.

I can go for a run on a hot day- I'll be pyrexic, tachypnoeic, and tachycardic- enough to trigger a sepsis alert. Whereas an elderly patient who is a bit more confused than normal may have a very severe raging infection with few changes in their markers.

I'd further add to this "We do not allow traffic controllers to work full 40h work weeks because the job is taxing and they have a strong union".

Many other jobs (e.g. in healthcare) are just as taxing and equally responsible for lives, but fail to enjoy these protections.