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Joined 2 years ago
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Cake day: June 9th, 2023

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  • I went for a routine dental cleaning today and my dentist integrated a specialized AI tool to help identify cavities and estimate the progress of decay. Comparing my x-rays between the raw image and the overlay from the AI, we saw a total of 5 cavities. Without the AI, my dentist would have wanted to fill all of them. With the AI, it was narrowed down to 2 that need attention, and the others are early enough that they can be maintained.

    I’m all for these types of specialized AIs, and hope to see even further advances in the future.







  • Getting out of it is the hardest part for us right now.

    We’re in a small 28 unit condominium, so our dues go towards insurance for all buildings (only exterior, have to have our own for studs in), water, lawn service, management company, etc. Our dues are almost $400/month.

    Yes, per month. It absolutely blows, especially when we’re trying to sell our unit and it’s been on the market for almost half a year.

    I’m the HOA president so I know what all our expenses are (and have fought to keep increases to a minimum, including negotiating the community water bill with the water company), and unless we kick out the management company (Not going to happen) the dues are just going to stay high. We’re preparing to refuse an increase for the next year.







  • Is this in regards to a specific recent event or article? Or just purely hypothetical?

    In practice, an AI that’s trained on drug-drug interactions, duplicate therapies, and common dosings would be beneficial. We already have specialized models that are helping scientists discover groundbreaking technologies, such as recent advancements in discovering cancers years before we are used to with more traditional methods.

    Let’s look at your hypothetical. Prescriber sends in an order to their in-house pharmacy for amoxicillin and the patient has a recorded penicillin allergy. Under ideal circumstances, the pharmacist would review the patients chart, note the potential for a reaction (While they are different antibiotics, there is still potential for a reaction due to the drugs being related), and contact the prescriber to verify therapy and discuss if a change to another antibiotic is in order. (This is all ignoring the fact that for an ear infection you’d likely get an otic ear drop, not an oral suspension. Something like Neo-Poly-Dex or ofloxacin).

    Unfortunately the pharmacy hellscape we’re in today leads to rushed verifications, where therapies aren’t being checked too closely and many things get missed. Pharmacies already have systems in place to warn techs and pharmacists of any interactions with recorded allergies, but if you’re traveling or need to go to a new pharmacy or doctor, things get missed.

    An AI that is trained on these specific things would help alleviate some of the pressure of the already overworked pharmacy staff, while giving consise and consistent information. If a pharmacist misses an allergy or interaction, the AI could send a warning to them and the prescriber.

    Note that I’m referring to job specific AI, that are trained for specific purposes. A general LLM, which it sounds like you’re referring to, would not be able to work in these environments.

    Source: I audit pharmacy claims, with training in retail, LTC, and PBM pharmacy settings. It’s literally my job to catch the errors (both billing and clinical) that pharmacies make.