Curious about threats.

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scoopdaboop

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Was reading some stuff on here cuz bored, and came across things like AI developing treatment algorithms while someone just okays it etc. So, as someone interested in heme-onc, how can I be convinced that AI is not a threat; for example, what aspects of the specialty make it so AI is not a threat?

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Was reading some stuff on here cuz bored, and came across things like AI developing treatment algorithms while someone just okays it etc. So, as someone interested in heme-onc, how can I be convinced that AI is not a threat; for example, what aspects of the specialty make it so AI is not a threat?
This was hashed out in the subspecialty encroachment thread but I’ll add my 2 cents here;

there is a science of oncology (outside of research I Mean) involving specific drugs for specific diseases, supportive care, etc. in theory this could easily be replaced by AI if it were not for the below.

there is an art to oncology that involves patient interactions, when to treat, when to dose reduce, when to admit for a given therapy (especially in heme malignancies) when to refer for a 2nd opinion when to rebiopsy when to call it quits. I could go on and on. The “art” of oncology is far more important than any other aspect, and I don’t see how it could be possible for AI to encroach.
 
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100% agree with @whoknows2012. The medicine is easy, and the smallest part of the job. The rest of it is where the oncologist comes in and this won’t be replaced by AI in any of our lifetimes.

Most of the people who say things like this, or work on developing these tools, have never actually talked to a patient, or probably many other humans about anything other than their research.
 
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Was reading some stuff on here cuz bored, and came across things like AI developing treatment algorithms while someone just okays it etc. So, as someone interested in heme-onc, how can I be convinced that AI is not a threat; for example, what aspects of the specialty make it so AI is not a threat?

Which branch of internal medicine (or medicine in general) doesn’t treat disease based on published guidelines and algorithms?

I have no idea how big of a “threat” AI actually is (but I would guess it’s overblown) however there will be many other fields of medicine and jobs that go down with us when and if that day ever comes.
 
This was hashed out in the subspecialty encroachment thread but I’ll add my 2 cents here;

there is a science of oncology (outside of research I Mean) involving specific drugs for specific diseases, supportive care, etc. in theory this could easily be replaced by AI if it were not for the below.

there is an art to oncology that involves patient interactions, when to treat, when to dose reduce, when to admit for a given therapy (especially in heme malignancies) when to refer for a 2nd opinion when to rebiopsy when to call it quits. I could go on and on. The “art” of oncology is far more important than any other aspect, and I don’t see how it could be possible for AI to encroach.
In your opinion, what inherently prevents neural models operating on raw input from capturing this type of interaction when the data is available?
 
In your opinion, what inherently prevents neural models operating on raw input from capturing this type of interaction when the data is available?
Honestly, I think the biggest obstacle to an AI is in the information gathering step. There are so many aspects to human interaction that we subconsciously consider, I don't see AI taking it _all_ into account any time soon. I can't tell you how many times in clinic patients don't even know what to ask or bring up in terms of coordinating their own care and choosing between treatment options. I don't think a standardized questionaire, form or survey would be able to get at it all.

See the above link from JCO, Ars Brevis for the automation of medicine taken to an extreme. Is that the kind of healthcare you would want?
 
amazing article-I remember reading when it first was published. Anyway, I think it’s obvious one of the huge aspects of oncology is human interaction so to minimize that piece would be foolish

What you have to ask yourself is how much patients, insurance companies, and the govt are going to pay you for that aspect. Social workers have more human interaction than oncs, and look how much they're paid.
 
What you have to ask yourself is how much patients, insurance companies, and the govt are going to pay you for that aspect. Social workers have more human interaction than oncs, and look how much they're paid.
This is going down an incredibly stupid rabbit hole. Re-read back you yourself what you wrote there
 
I think as long as patients are:
(a) getting cancer,
(b) wanting treatment for their cancer,
(c) having systemic therapy for cancer,
(d) getting side effects / are at risk for side effects from systemic therapy, and
(e) needing a discussion of risks/benefits of any therapy,

then there will always be some sort of role for oncologists.

That being said, I feel like every conversation about future technologies taking over any sort of difficult job ends up going more or less the same way:

Futurist: Do you think technology will make your job obsolete?
Person with a Difficult Job: No, because I don't think technology can do X
Futurist: OK but what if it COULD do X?
Person with a Difficult Job: Doesn't seem possible.
Futurist: Yeah, but what if it COULD?
Person with a Difficult Job: Well, I also do Y and Z...
Futurist: OK, so what if technology could do Y and Z?

and repeat until Person with Difficult Job gives up.

I can't really imagine patients in my lifetime agreeing to get some sort of toxic drug combo without having a conversation about the risks/benefits with an oncologist first, but hey, there was also apparently a time where driverless elevators seemed insane so who knows?
 
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This is going down an incredibly stupid rabbit hole. Re-read back you yourself what you wrote there

Specialists are paid highly because of their expertise, not because they hold patients' hands and tell them that they'll be there through good and bad. Look at rads - we make some of the highest incomes in medicine not because of hand-holding, but because of the knowledge-value added. When AI advances to the point of taking ownership of the expertise aspect of oncology (and other fields), human specialists will add less to the process.
 
Specialists are paid highly because of their expertise, not because they hold patients' hands and tell them that they'll be there through good and bad. Look at rads - we make some of the highest incomes in medicine not because of hand-holding, but because of the knowledge-value added. When AI advances to the point of taking ownership of the expertise aspect of oncology (and other fields), human specialists will add less to the process.
And what @whoknows2012 is pointing out is that, the oncologist's value add is not just in the knowledge/expertise but ALSO in the psychosocial aspects of cancer, treatment and supportive care (what you so derisively dismiss as "hand holding"),
 
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And what @whoknows2012 is pointing out is that, the oncologist's value add is not just in the knowledge/expertise but ALSO in the psychosocial aspects of cancer, treatment and supportive care (what you so derisively dismiss as "hand holding"),

A PCP + AI could take care of those. The AI could spit out the best courses of tx and the most likely adverse effects. The PCP could take care of the talking.
 
A PCP + AI could take care of those. The AI could spit out the best courses of tx and the most likely adverse effects. The PCP could take care of the talking.
Hah-from someone with actual experience talking to the pcp of my patients, good luck with that one. Also this has become a mind numbingly stupid conversation. What’s your angle? That all types of medicine are apt for AI encroachment? Or that oncology in particular is. I think we can all agree as @bobsmith said above it’s hard to know what people will accept in 20 years, but like, is oncology MORE at risk than say GI, cards, rad onc etc etc??
 
Hah-from someone with actual experience talking to the pcp of my patients, good luck with that one. Also this has become a mind numbingly stupid conversation. What’s your angle? That all types of medicine are apt for AI encroachment? Or that oncology in particular is. I think we can all agree as @bobsmith said above it’s hard to know what people will accept in 20 years, but like, is oncology MORE at risk than say GI, cards, rad onc etc etc??
GI and cards do procedures... so probably. Is onc more at risk than any other mostly cognitive specialty? Probably not.

This isn't a knock on onc, I wish I would have done it instead of my current specialty of rheumatology. But it is what it is... AI is more capable of taking over cognitive than procedural work.
 
A PCP + AI could take care of those. The AI could spit out the best courses of tx and the most likely adverse effects. The PCP could take care of the talking.
Well, the "talking" isn't just reciting a list of side effects and saying something like, "OK see you in 3 months after you've finished all your adjuvant therapy," particularly since people react to therapies differently and adjustments need to be made.

Have you ever seen an oncologist talk to a somewhat nervous / hesitant patient about the benefits of adjuvant chemotherapy because they "hear bad things about chemo"? Or talk to a patient about the benefits of keeping a certain therapy going because the side effects are fairly manageable relative to our other options, or alternatively, deciding if it makes sense to stop therapy (even though they want to be very aggressive!) because the side effects are concerning?

Because that was basically my Friday afternoon last week, and making and communicating thoughtful treatment plans to patients is certainly a part of an oncologist's expertise.

On the other hand, if AI can convincingly answer all my patients' questions about quitting sugar and its effect on their cancer, then maybe I will be out of a job.
 
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It seems the the consensus is that AI isn't a threat from current oncologists. However, what about private equity? Do you find yourselves employed by private equity/VC groups?

Like has this consolidation affected you all?

Do you foresee a future where you oversee like 20 NP's, pushed on you by PE groups, and just sign off on all their notes?
 
GI and cards do procedures... so probably. Is onc more at risk than any other mostly cognitive specialty? Probably not.

This isn't a knock on onc, I wish I would have done it instead of my current specialty of rheumatology. But it is what it is... AI is more capable of taking over cognitive than procedural work.
I shouldn’t have said gi and cards, I meant other non procedural specialties, but then again does it matter? Procedural specialties will be undone by mid level encroachment ;)
 
It seems the the consensus is that AI isn't a threat from current oncologists. However, what about private equity? Do you find yourselves employed by private equity/VC groups?

Like has this consolidation affected you all?

Do you foresee a future where you oversee like 20 NP's, pushed on you by PE groups, and just sign off on all their notes?
Like other fields as more practices do this their ability to leverage and strong arm their way in to a community and kill private practices will grow. Physicians need to stop selling to them and stop working for them but it won’t happen.

they’ve conquered Em and a good portion of inpatient Ccm/Hospitalist medicine, time to target high value outpatient specialties now I imagine.
 
Like other fields as more practices do this their ability to leverage and strong arm their way in to a community and kill private practices will grow. Physicians need to stop selling to them and stop working for them but it won’t happen.

they’ve conquered Em and a good portion of inpatient Ccm/Hospitalist medicine, time to target high value outpatient specialties now I imagine.
The "problem" is that PE is behind the curve on this. It's literally the only area in the business of medicine where academia has been on the forefront, primarily due to 340b pricing which is like manna to oncology groups. Between universities buying up community practices and slapping their name on the door, and things like McKesson buying USOncology, the margin for PE to make fat cash in oncology is pretty small.
 
The "problem" is that PE is behind the curve on this. It's literally the only area in the business of medicine where academia has been on the forefront, primarily due to 340b pricing which is like manna to oncology groups. Between universities buying up community practices and slapping their name on the door, and things like McKesson buying USOncology, the margin for PE to make fat cash in oncology is pretty small.
I dont know they make it work on the inpatient side where all they get is E/M billing and nothing else. I can imagine leveraging size/midlevels into a lower outpatient overhead and turning that profitable as well to the detriment of patient care.
 
I think as long as patients are:
(a) getting cancer,
(b) wanting treatment for their cancer,
(c) having systemic therapy for cancer,
(d) getting side effects / are at risk for side effects from systemic therapy, and
(e) needing a discussion of risks/benefits of any therapy,

then there will always be some sort of role for oncologists.

That being said, I feel like every conversation about future technologies taking over any sort of difficult job ends up going more or less the same way:

Futurist: Do you think technology will make your job obsolete?
Person with a Difficult Job: No, because I don't think technology can do X
Futurist: OK but what if it COULD do X?
Person with a Difficult Job: Doesn't seem possible.
Futurist: Yeah, but what if it COULD?
Person with a Difficult Job: Well, I also do Y and Z...
Futurist: OK, so what if technology could do Y and Z?

and repeat until Person with Difficult Job gives up.

I can't really imagine patients in my lifetime agreeing to get some sort of toxic drug combo without having a conversation about the risks/benefits with an oncologist first, but hey, there was also apparently a time where driverless elevators seemed insane so who knows?
As a non oncologist looking from the outside...my 2 cents, I think the getting "systemic therapy" part is the biggest piece to protecting your field as it currently stands.

Imagine future breakthroughs that allow extremely targeted medications/nanotherapy/immunotherapy or whatever with very minimal adverse effects or complications, able to be manufactured and tailored specifically to the patient's cancer genomics, that are so effective that recurrence rates plummet to zero. Wouldn't this eliminate the need for a lot the 'art' of oncology and reduce the need for follow up visits/retreatments that you guys currently perform?
 
extremely targeted medications/nanotherapy/immunotherapy or whatever with very minimal adverse effects or complications, able to be manufactured and tailored specifically to the patient's cancer genomics, that are so effective that recurrence rates plummet to zero.
Sure, I agree that if there is an easy cure for all cancers, then oncologists will no longer be needed =D
 
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Where does this ad nauseam paranoia about MLP and AI encroachment come from ?
Its not happening now, if you think otherwise then you need to lay off Elon Musk's Kool-Aid. If it happens in 30yrs then so what? People are ingenious and make themselves relevant one way or the other.
Those interested in the dynamics of the labour market and how the threat of automation never realized in developed world job market, please read the Economist last week print.
 
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Where does this ad nauseam paranoia about MLP and AI encroachment come from ?
Its not happening now, if you think otherwise then you need to lay off Elon Musk's Kool-Aid. If it happens in 30yrs then so what? People are ingenious and make themselves relevant one way or the other.
Those interested in the dynamics of the labour market and how the threat of automation never realized in developed world job market, please read the Economist last week print.

The current models published or used in ML conferences are capable of the type of long term decision making with no clear cut best immediate action available needed for medical treatment. As mentioned above, it's really the lack of cooperation/data sharing that is the actual bottleneck.

That said, I never expect any of our work to replace medical professionals as much as supplement their decision making/efficacy. It's also asymmetrical as at the moment, humans are amazing at out of distribution detection while these highly parameterized models consider more possibilities at any given moment.

So coming from an ML researcher in academia, the jobs are safe. I wouldn't want only a model to treat me, but I'd absolutely want a model to be incorporated into the process as a nice sanity check/another perspective.
 
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I dont know they make it work on the inpatient side where all they get is E/M billing and nothing else. I can imagine leveraging size/midlevels into a lower outpatient overhead and turning that profitable as well to the detriment of patient care.
I didn't say they couldn't do it. Just that they're late to the party.
 
...is this trolling?

It's a thread about threats to oncology. Prospective fellows should know what's coming down the line before committing three years to being paid as fellows.
 
It's a thread about threats to oncology. Prospective fellows should know what's coming down the line before committing three years to being paid as fellows.
I'm not sure how a new treatment option (note that the "vaccine" isn't for preventing the development of cancer, but treating an established one...basically CAR-T therapy) is a threat to oncologists.
 
It's a thread about threats to oncology. Prospective fellows should know what's coming down the line before committing three years to being paid as fellows.
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I'm not sure how a new treatment option (note that the "vaccine" isn't for preventing the development of cancer, but treating an established one...basically CAR-T therapy) is a threat to oncologists.


GutOnc is correct - this vaccine basically is just for extended adjuvant therapy.

  • The subject must have no measurable disease at the time of investigational product administration.
    1. The subject must complete all prior surgery requiring general anesthesia at least four (4) weeks before administration of the investigational product. The subject must complete all surgery requiring local/epidural anesthesia at least seventy-two (72) hours prior to administration of the investigational product.
    2. The subject must complete all prior systemic chemotherapy therapy, and all adverse events have either returned to baseline or have stabilized at least four (4) weeks prior to administration of the investigational product.
    3. The subject must complete all prior systemic radiation therapy at least four (4) weeks prior to administration of the investigational product. The subject must complete all prior focal radiation therapy at least two (2) weeks prior to the administration of the investigational agent. The subject must not have received a radiopharmaceutical within eight (8) weeks prior to the administration of the investigational product.
    4. The subject may continue hormonal therapy (i.e tamoxifen, anastrozole) during the study.
  • The risk of disease recurrence with a five (5) year time period, as estimated by the treating physician, must be greater than or equal thirty percent (30%).
  • The subject must have a life expectancy greater than twelve (12) months at the time of screening.

This is just something that is meant to increase duration of tumor free survival - for patients with high risk features as measured by a higher than 30% chance of recurrence. These patients still need a lot of therapy to even get to the point of vaccine for prevention purposes. Meaning an oncologist must still manage the adjuvant therapy, and then has to plan for this vaccine. Do you think a PCP can do that?


Let's agree that oncology will be just fine for a long time, unless we start doing what people are complaining about on the anesthesia board (eg letting untrained non-physicians manage chemotherapy and systemic therapies while we take a cut of their labor).
 
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