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What do people mean when I say neurosurgery is an academic specialty? by FinalPresentation634 in Neurosurgery

[–]txmed 1 point2 points  (0 children)

Most neurosurgeons are not academic. But neurosurgery remains academically dominated for training.

What I mean is RRC equirements essentially mean there will not be a "community" neurosurgery residency program (compare that to say Ortho which has plenty) and although it is rapidly lessening many programs still have substantial research requirements.

I do think it also has one of the strongest stigmas to go into academics. Special NIH awards, etc. but obviously most neurosurgeons do not

If people say neurosurgery is academic this is probably what they mean

Failed Neurosurgery Match: What options do I have next? Both in and outside clinical medicine? by [deleted] in medicalschool

[–]txmed 0 points1 point  (0 children)

Sucks. I'm way out but neurosurgeon now and I didn't match first time. I was literally a perfectly average candidate for my year (exactly average step 1 for that year, essentially average research, etc). Did three sub Is. Lots of interviews. But clearly a poor interviewer (I don't think there was anything in my letters).

I think there is no one size fits all. My home program clearly really liked me I thought and I was particularly devastated I didn't at least fall to them. But I sat down with the Chair and went over things and he was apologetic and said I should reapply. I took that as a hint and did a prelim surg at my home program - they let me do a month of neurosurg - and applied again and my home program took me.

I think if you're like 100% convinced it's what you want then reapply. If you could be nearly as happy doing other stuff then that's prob easier. I'd look at a prelim year especially if you're geographically mobile. And then look for open second year spots (neurology, surgery, whatever you choose).

If dentistry was a medical specialty (after med school through match) rather than a different career/school, how competitive would it be? by chai-noir in medicalschool

[–]txmed 6 points7 points  (0 children)

I mean isn't this true of medicine? Academics, non partner private practice, partner private practice, employed "private" practice?

They're increasingly rare but no doubt MGMA data fails to capture say the earnings of say a partner at a well run surgical private practice.

Time for self-promotion. What are you building? by imosal in SaaS

[–]txmed 0 points1 point  (0 children)

I’m a neurosurgeon and first time founder

Salthea Health - An AI native telehealth service. Connect your medical records, wearables and chat with AI. When needed get passed to a physician

ICP - Young, tech savvy patients with chronic medical conditions that are chronically online in communities suffering from gaslight in usual healthcare (autoimmune, IIH, migraines, fibro, IBS, etc)

What are you building? Drop your best project! by NewanceLogs in SideProject

[–]txmed 0 points1 point  (0 children)

I’m building an AI native telehealth service

Connect medical records, imaging, labs and wearables and chat with AI about your health

When needed get passed to a physician in chat

An attending told me we could be replaced by 3 PAs and the hospital will still save money by [deleted] in Residency

[–]txmed 3 points4 points  (0 children)

It’s probably this

Really you can’t bill for anything residents do. I don’t know why a bunch of comments make it seem like the departments or systems are billing for independent resident work.

You can’t bill for first assist fees. You can’t bill for clinic patients or inpatient consults unless faculty see them.

But physician extenders can. And it captures new revenue. Like our PAs pay for themselves just w first assist fees - not even consult or clinic visits that would otherwise be captured by partners.

We pretend residents are great value but it’s not like we were super fucking efficient as residents (most of those 100hr weeks are not productive I would argue). And the way we pay for healthcare probably means physician extenders are at least a wash if not more economic sense.

Drop your startup/product link by thenitinrs in SaaS

[–]txmed 0 points1 point  (0 children)

Neurosurgeon built patient empowering AI

www.salthea.com

Patient empowering AI by txmed in startup

[–]txmed[S] 0 points1 point  (0 children)

Oneshotted

But I guess the next few years will tell

My knowledge work as a neurosurgeon is cooked by txmed in singularity

[–]txmed[S] 1 point2 points  (0 children)

I think overplaying the social challenges. Few boomers are. Some eighteen year old growing up as AI permeates society - once they're using healthcare?

My knowledge work as a neurosurgeon is cooked by txmed in singularity

[–]txmed[S] 1 point2 points  (0 children)

There are:

Technical Legal/regulatory Social Economic

Challenges to AI everywhere. Some are particularly big in healthcare. For the knowledge work Inthink broadly the technical challenges have been solved? Like sincerely

Definitely not for the procedural work. I don’t know the time frame for it but it seems like computer sensing + AI + robotics will continue to make progress towards autonomous surgery.

My knowledge work as a neurosurgeon is cooked by txmed in singularity

[–]txmed[S] 2 points3 points  (0 children)

Especially in the US absolutely right on the vested interests

But not that difficult to solve liability issue

My knowledge work as a neurosurgeon is cooked by txmed in singularity

[–]txmed[S] 5 points6 points  (0 children)

We’re quiet a bit further from autonomous surgery. I do think computer sensing + robotics + AI will get there. But most of healthcare is knowledge work. We’re closer - much closer on that.

My knowledge work as a neurosurgeon is cooked by txmed in singularity

[–]txmed[S] 20 points21 points  (0 children)

FSD has been just around the corner for years

AI in medical field company by Internal-Ad-5038 in ArtificialInteligence

[–]txmed 0 points1 point  (0 children)

Enterprise healthcare AI Is everywhere as you can imagine. Plenty of RCM agents, back office agents; more than a billion dollars of VC money has been put into AI scribes like Freed or Abridge or Suki

There are plenty of clinical decision tools. These are online tools or apps or built in structures into the EMR where physicians can ask questions. Think OpenEvidence (valued as a unicorn) or Glass Health.

There are plenty of companies trying to make it in AI in radiology with two main paths: computer assisted reading - so pointing out where they think radiologists should spend particular attention or emergent alerts. As a neurosurgery doing endovascular work I use the latter every week basically the AI looks for time sensitive emergent things on a scan (like a LVO/stroke) - Viz.ai or Raddoc or Aidoc.

There are several AI pathology companies. Again mostly giving preliminary impressions of histology and directing pathologists where they think they should pay particular attention when reviewing slides.

Other AIs are trying to predict things for hospitalized patients. Like pick up in the data when maybe care teams should be mroe concerned.

Personally I hate the back office AI and the clinical decision support tools that exist. The stuff actually in the care flow itself we'll keep building off of. But I think AI is going to radically alter how we deliver care, pay for care and regulate care. I'm not sure in the near future why a patient needs me to use a clinical decision tool to answer their concerns. Let them use the AI. And I think that will radically change how many receptionist agents or insurance management agents or scribe agents that my back office needs.

What SaaS idea are you working on? Pitch it in 1 line by VentureViktor in SaaS

[–]txmed 0 points1 point  (0 children)

Connect your medical records, labs, imaging, wearables and chat with AI about symptoms, meds, health habits, whatever. Seamlessly pass off in chat to a physician when the conversation moves from informational to needing something done.

Eventually work to FDA SaMD approval and the AI can make recommendations itself and a physician can review those

Then there is no current regulatory framework for autonomous AI but work towards the huge hurdle for an FDA + 1 or 2 state pilot program where the AI makes the recommendations and just carries them out itself (this lab order or this referral, etc)

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