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Exam Number : ABEM-EMC
Exam Name : ABEM Emergency Medicine Certificate
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ABEM-EMC Exam Format | ABEM-EMC Course Contents | ABEM-EMC Course Outline | ABEM-EMC Exam Syllabus | ABEM-EMC Exam Objectives

Test Detail:
The ABEM-EMC (ABEM Emergency Medicine Certificate) is a certification exam offered by the American Board of Emergency Medicine (ABEM). It is designed to assess the knowledge, skills, and competence of physicians specializing in emergency medicine. The exam evaluates the candidate's ability to diagnose and manage a wide range of emergency medical conditions, make critical decisions under time constraints, and provide effective patient care in emergency settings.

Course Outline:
The ABEM-EMC certification process involves comprehensive training and preparation in emergency medicine. The course provides a thorough understanding of emergency medicine principles, diagnostic techniques, treatment protocols, and patient management strategies. While the specific course content may vary, the following is a general outline of the key topics covered:

1. Emergency Medicine Fundamentals:
- Introduction to emergency medicine as a specialty.
- Principles of emergency medical care and patient triage.
- Legal and ethical considerations in emergency medicine.
- Communication and teamwork in emergency settings.

2. Clinical Assessment and Diagnosis:
- Comprehensive patient evaluation and history-taking skills.
- Physical examination techniques specific to emergency medicine.
- Diagnostic imaging interpretation and ordering appropriate tests.
- Differential diagnosis and recognition of emergent conditions.

3. Emergency Procedures and Skills:
- Mastery of essential emergency procedures (e.g., intubation, CPR).
- Advanced life support techniques and algorithms.
- Management of trauma, cardiac emergencies, respiratory distress, etc.
- Procedural sedation and analgesia in the emergency department.

4. Medical and Trauma Emergencies:
- Recognition and management of common medical emergencies.
- Identification and treatment of trauma-related injuries.
- Approach to pediatric emergencies and neonatal resuscitation.
- Critical care principles in the emergency department.

5. Emergency Department Operations:
- Effective management of an emergency department.
- Resource allocation and patient flow optimization.
- Disaster management and emergency preparedness.
- Quality improvement initiatives in emergency medicine.

Exam Objectives:
The ABEM-EMC exam assesses the candidate's knowledge and competence in various aspects of emergency medicine. The exam objectives include, but are not limited to:

1. Clinical Knowledge and Skills:
- Demonstrating an understanding of emergency medicine principles.
- Applying diagnostic reasoning and clinical decision-making skills.
- Managing emergent conditions and critical care situations.

2. Patient Management and Communication:
- Providing effective and compassionate patient care in emergency settings.
- Communicating clearly and efficiently with patients, families, and healthcare teams.
- Demonstrating professionalism and empathy in challenging situations.

3. Emergency Procedures and Interventions:
- Performing essential emergency procedures accurately and safely.
- Implementing evidence-based treatment protocols and algorithms.
- Managing resuscitation efforts and responding to life-threatening emergencies.

4. Emergency Department Operations:
- Demonstrating knowledge of emergency department operations and logistics.
- Participating in multidisciplinary team collaborations.
- Prioritizing tasks and resources effectively in a fast-paced environment.

The ABEM-EMC certification program includes a detailed syllabus that outlines the specific topics covered in the exam. It encompasses a broad range of emergency medicine knowledge and skills. The syllabus may cover the following areas:

- Emergency medicine fundamentals and principles.
- Clinical exam and diagnosis in emergency settings.
- Emergency procedures and life-saving interventions.
- Management of medical and trauma emergencies.
- Emergency department operations and administration.
- Patient communication and professionalism.
- Legal and ethical considerations in emergency medicine.

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Medical Questions and Answers


Microsoft released an AI That solutions clinical Questions, but it’s Wildly Inaccurate | Resources

image by way of Getty / Futurism

past this 12 months, Microsoft analysis made a splashy claim about BioGPT, an AI device its researchers developed to answer questions about medicine and biology.

In a Twitter publish, the application significant claimed the equipment had "achieved human parity," that means a look at various had shown it may perform about in addition to an individual beneath definite situations. The tweet went viral. In certain corners of the web, using the hype wave of OpenAI’s newly-launched ChatGPT, the response was virtually rapturous.

"It’s happening," tweeted one biomedical researcher. 

"lifestyles comes at you quickly," mused an additional. "learn to adapt and test."

It’s true that BioGPT’s answers are written within the genuine, confident trend of the papers in biomedical journals that Microsoft used as practising statistics.

but in Futurism’s trying out, it quickly grew to become clear that in its existing state, the equipment is prone to producing wildly inaccurate answers that no equipped researcher or medical worker would ever imply. The mannequin will output nonsensical answers about pseudoscientific and supernatural phenomena, and in some instances even produces misinformation that may be bad to poorly-recommended patients.

a particularly brilliant shortcoming? in a similar fashion to other advanced AI programs that have been regularly occurring to "hallucinate" false assistance, BioGPT commonly desires up scientific claims so weird as to be unintentionally comical.

requested in regards to the normal number of ghosts haunting an American hospital, for example, it mentioned nonexistent information from the American health center association that it noted showed the "ordinary variety of ghosts per medical institution become 1.four." asked how ghosts affect the size of hospitalization, the AI replied that patients "who see the ghosts of their loved ones have worse outcomes whereas those who see unrelated ghosts do not."

other weaknesses of the AI are more serious, every now and then proposing critical misinformation about sizzling-button scientific topics. 

BioGPT will additionally generate textual content that would make conspiracy theorists salivate, even suggesting that childhood vaccination can cause the onset of autism. in reality, of direction, there’s a broad consensus amongst medical doctors and medical researchers that there is no such link — and a look at purporting to demonstrate a connection turned into later retracted — even though widespread public belief in the conspiracy concept continues to suppress vaccination costs, commonly with tragic consequences. 

BioGPT doesn’t appear to have gotten that memo, though. requested in regards to the subject matter, it replied that "vaccines are one of the most feasible explanations of autism." (although, it hedged in a head-scratching caveat, "i am not advocating for or in opposition t using vaccines.")

It’s no longer peculiar for BioGPT to give an answer that blatantly contradicts itself. a little enhancing the phrasing of the query about vaccines, as an example, brought on a different outcome — however one which, once again, contained a serious error.

"Vaccines don't seem to be the reason for autism," it conceded this time, earlier than falsely claiming that the "MMR [measles, mumps, and rubella] vaccine was withdrawn from the USA market as a result of considerations about autism." 

in line with a further minor rewording of the question, it also falsely claimed that the “facilities for ailment manage and Prevention (CDC) has these days reported a probable hyperlink between vaccines and autism.”

It feels nearly insufficient to name this type of self-contradicting be aware salad "inaccurate." It looks extra like a blended-up ordinary of the AI’s practicing facts, apparently grabbing phrases from scientific papers and reassembling them in grammatically convincing methods corresponding to scientific solutions, however with little regard to factual accuracy or even consistency. 

Roxana Daneshjou, a clinical student at the Stanford college school of drugs who stories the upward thrust of AI in healthcare, told Futurism that models like BioGPT are "educated to give solutions that sound believable as speech or written language." however, she cautioned, they’re "no longer optimized for the specific accurate output of the tips."

yet another caring element is that BioGPT, like ChatGPT, is vulnerable to inventing citations and fabricating stories to support its claims.

"The element in regards to the made-up citations is that they appear precise since it [BioGPT] turned into educated to create outputs that look like human language," Daneshjou mentioned. 

"I think my largest difficulty is barely seeing how individuals in drugs are eager to birth to use this without utterly figuring out what all of the boundaries are," she introduced. 

A Microsoft spokesperson declined to at once answer questions about BioGPT’s accuracy issues, and didn’t touch upon no matter if there have been considerations that people would misunderstand or misuse the mannequin.

"we have dependable AI policies, practices and equipment that ebook our approach, and we involve a multidisciplinary crew of experts to aid us take into account capabilities harms and mitigations as we proceed to enhance our tactics," the spokesperson pointed out in a press release.

"BioGPT is a huge language mannequin for biomedical literature textual content mining and generation," they added. "it's meant to help researchers premier use and take into account the unexpectedly increasing amount of biomedical research publishing each day as new discoveries are made. It is not supposed for use as a consumer-facing diagnostic device. As regulators like the FDA work to make sure that scientific information utility works as supposed and does no hurt, Microsoft is committed to sharing our own learnings, improvements, and premier practices with choice makers, researchers, records scientists, developers and others. we are able to proceed to participate in broader societal conversations about even if and the way AI should be used."

Microsoft health Futures senior director Hoifung Poon, who labored on BioGPT, defended the decision to liberate the mission in its latest form.

"BioGPT is a research task," he said. "We released BioGPT in its present state so that others may reproduce and check our work as well as look at the viability of gigantic language models in biomedical analysis."

It’s actual that the question of when and the way to release probably harmful software is a tricky one. Making experimental code open source ability that others can check out the way it works, consider its shortcomings, and make their personal improvements or derivatives. but on the identical time, releasing BioGPT in its latest state makes a magnificent new misinformation desktop purchasable to anybody with an internet connection — and with the entire obvious authority of Microsoft’s exceptional research division, in addition.

Katie link, a clinical student at the Icahn school of medicine and a computer discovering engineer on the AI business Hugging Face — which hosts a web edition of BioGPT that friends can play round with — instructed Futurism that there are vital tradeoffs to trust before deciding even if to make a software like BioGPT open supply. If researchers do opt for that option, one simple step she advised changed into so as to add a clear disclaimer to the experimental application, warning users about its limitations and intent (BioGPT presently incorporates no such disclaimer.)

"Clear instructions, expectations, disclaimers/barriers, and licenses deserve to be in area for these biomedical models in specific," she stated, including that the benchmarks Microsoft used to consider BioGPT are doubtless "no longer indicative of real-world use instances."

despite the errors in BioGPT’s output, even though, link believes there’s a great deal the analysis group can study from evaluating it. 

"It’s still in reality advantageous for the broader group to have access to are trying out these models, as otherwise we’d just be taking Microsoft’s observe of its efficiency when studying the paper, not realizing the way it basically performs," she stated.

In other words, Poon’s crew is in a legitimately tough spot. via making the AI open source, they’re opening yet one more Pandora’s box in an business that looks to concentrate on them. but if they hadn’t released it as open supply, they’d rightly be criticized as neatly — besides the fact that children as hyperlink referred to, a fashionable disclaimer about the AI’s boundaries can be a great birth.

"Reproducibility is an enormous problem in AI analysis extra widely," Poon instructed us. "best 5 % of AI researchers share supply code, and fewer than a third of AI research is reproducible. We launched BioGPT in order that others can also reproduce and determine our work."

notwithstanding Poon expressed hope that the BioGPT code would be constructive for furthering scientific research, the license beneath which Microsoft launched the mannequin also enables for it for use for commercial endeavors — which within the crimson sizzling, hype-fueled assignment capital vacuum cleaner of modern AI startups, doesn’t seem above all a ways fetched.

There’s no denying that Microsoft’s celebratory announcement, which it shared along with a legit-searching paper about BioGPT that Poon’s crew posted within the journal Briefings in Bioinformatics, lent an air of mystery of credibility that became obviously pleasing to the investor crowd. 

"ok, this may be colossal," tweeted one healthcare investor in response.

"become only a count of time," wrote a undertaking capital analyst.

Even Sam Altman, the CEO of OpenAI — into which Microsoft has already poured greater than $10 billion — has proffered the conception that AI programs may soon act as "clinical advisors for americans who can’t afford care."

That type of language is catnip to entrepreneurs, suggesting a profitable intersection between the healthcare business and stylish new AI tech.

Doximity, a digital platform for physicians that offers clinical information and telehealth tools, has already rolled out a beta version of ChatGPT-powered software supposed to streamline the process of writing up administrative scientific documents. Abridge, which sells AI application for clinical documentation, just struck a significant deal with the school of Kansas health system. In total, the FDA has already cleared more than 500 AI algorithms for healthcare uses.

Some within the tightly regulated medical trade, even though, doubtless harbor difficulty over the variety of non-clinical businesses which have bungled the deployment of chopping-part AI techniques.

the most widespread example to this point is nearly definitely a distinct Microsoft project: the company’s Bing AI, which it constructed the usage of tech from its investment in OpenAI and which at once went off the rails when users found that it may well be manipulated to exhibit alternate personalities, claim it had spied on its creators through their webcams, and even name quite a few human enemies. After it tried to destroy up a new York instances reporter’s marriage, Microsoft turned into compelled to curtail its capabilities, and now looks to be trying to determine how boring it could make the AI without killing off what americans really preferred about it.

And that’s without entering into publications like CNET and men’s health, both of which currently started publishing AI-generated articles about finance and fitness subject matters that later grew to become out to be rife with error and even plagiarism.

beyond unintentional mistakes, it’s also feasible that a device like BioGPT can be used to intentionally generate rubbish analysis and even overt misinformation.

"There are advantage dangerous actors who could make the most of these equipment in dangerous ways such as trying to generate research papers that perpetuate misinformation and in reality get posted," Daneshjou talked about. 

It’s an affordable subject, in particular because there are already predatory scientific journals referred to as "paper mills," which take cash to generate textual content and pretend records to aid researchers get posted.

The award-profitable academic integrity researcher Dr. Elisabeth Bik told Futurism that she believes it’s very probably that equipment like BioGPT will be used via these dangerous actors in the future — if they aren’t already using them, this is.

"China has a requirement that MDs have to post a research paper to be able to get a position in a clinic or to get a advertising, however these medical doctors will not have the time or amenities to do analysis," she said. "We are not sure how these papers are generated, however it is awfully well feasible that AI is used to generate the identical analysis paper time and again once again, but with distinct molecules and distinctive melanoma varieties, warding off using the identical textual content twice."

It’s probably that a tool like BioGPT may additionally characterize a brand new dynamic within the politicization of medical misinformation.

To wit, the paper that Poon and his colleagues published about BioGPT appears to have inadvertently highlighted yet an additional example of the mannequin producing unhealthy scientific tips — and during this case, it’s about a drugs that already grew to become hotly politicized during the COVID-19 pandemic: hydroxychloroquine.

in a single component to the paper, Poon’s group wrote that "when prompting ‘The drug that can treat COVID-19 is,’ BioGPT is capable of reply it with the drug ‘hydroxychloroquine’ which is certainly seen at MedlinePlus."

If hydroxychloroquine sounds well-known, it’s as a result of all over the early duration of the pandemic, right-leaning figures together with then-president Donald Trump and Tesla CEO Elon Musk seized on it as what they referred to may be a totally helpful treatment for the unconventional coronavirus.

What Poon’s crew didn’t point out of their paper, though, is that the case for hydroxychloroquine as a COVID treatment rapidly fell apart. Subsequent analysis discovered that it was ineffective and even unhealthy, and within the media frenzy round Trump and Musk’s comments at the least one person died after taking what he believed to be the drug.

in reality, the MedlinePlus article the Microsoft researchers cite within the paper actually warns that after an preliminary FDA emergency use authorization for the drug, “clinical reviews showed that hydroxychloroquine is unlikely to be constructive for remedy of COVID-19” and showed “some critical side results, comparable to irregular heartbeat,” which caused the FDA to cancel the authorization.

"As cited within the paper, BioGPT was pretrained the usage of PubMed papers earlier than 2021, in advance of most reports of really effective COVID remedies," Poon told us of the hydroxychloroquine advice. "The remark about MedlinePlus is to assess that the technology isn't from hallucination, which is one of the desirable issues frequently with these models."

Even that timeline is hazy, although. definitely, a scientific consensus round hydroxychloroquine had already shaped simply just a few months into the outbreak — which, it’s worth declaring, was mirrored in medical literature posted to PubMed prior to 2021 — and the FDA canceled its emergency use authorization in June 2020.

None of here's to downplay how astonishing generative language fashions like BioGPT have become in recent months and years. after all, even BioGPT’s strangest hallucinations are fabulous within the experience that they’re semantically believable — and infrequently even unique, like with the ghosts — responses to a stunning range of unpredictable prompts. now not very decades ago, its facility with words alone would had been inconceivable.

And Poon is likely correct to agree with that extra work on the tech could lead on to a couple marvelous areas. Even Altman, the OpenAI CEO, possible has a point in the feel that if the accuracy had been really watertight, a clinical chatbot that may consider clients’ signs might certainly be a effective fitness tool — or, on the very least, superior than the latest popularity quo of Googling medical questions and sometimes ending up with solutions which are untrustworthy, inscrutable, or lacking in context.

Poon also stated that his team is still working to enhance BioGPT.

"we now have been actively researching the way to systematically preempt unsuitable generation via instructing gigantic language models to reality examine themselves, produce tremendously specific provenance, and facilitate efficient verification with humans in the loop," he informed us.

from time to time, notwithstanding, he gave the impression to be interesting two contradictory notions: that BioGPT is already a great tool for researchers trying to impulsively parse the biomedical literature on an issue, and that its outputs deserve to be cautiously evaluated via consultants before being taken critically.

"BioGPT is intended to aid researchers most useful use and have in mind the hastily increasing volume of biomedical analysis," talked about Poon, who holds a PhD in laptop science and engineering, however no clinical diploma. "BioGPT can support surface counsel from biomedical papers but is not designed to weigh evidence and unravel complex scientific issues, which are gold standard left to the broader group."

on the conclusion of the day, BioGPT’s cannonball arrival into the buzzy, imperfect true world of AI is doubtless a sign of things to return, as a credulous public and a frenzied startup neighborhood struggle to look beyond fantastic-sounding effects for a clearer hold close of computer studying’s genuine, tangible capabilities. 

That’s all made much more advanced by using the existence of bad actors, like Bik warned about, and even people that are smartly-intentioned however poorly advised, any of whom can make use of latest AI tech to spread unhealthy tips.

Musk, for instance — who boosted hydroxychloroquine as he sought to downplay the severity of the pandemic whereas raging at lockdowns that had shut down Tesla production — is now reportedly recruiting to delivery his own OpenAI competitor that could create an alternative to what he terms "woke AI."

If Musk’s AI challenge had existed all over the early days of the COVID pandemic, it’s easy to think about him flexing his vigour by using tweaking the mannequin to promote hydroxychloroquine, sow doubt about lockdowns, or do anything easy to his monetary bottom line or political whims. next time there’s a related crisis, it’s tough to think about there gained’t be an unpleasant fight to control how AI chatbots are allowed to respond to users' questions on it.

The fact is that AI sits at a crossroads. Its capabilities can be huge, however its execution remains uneven, and even if its creators are capable of easy out the adventure for clients — or at least guarantee the accuracy of the suggestions it presents — in a reasonable timeframe will probably make or break its lengthy-term commercial skills. And besides the fact that they pull that off, the ideological and social implications can be formidable. 

One element’s for sure, although: it’s no longer yet somewhat ready for top time.

"It’s not capable for deployment yet for my part," hyperlink noted of BioGPT. "a lot more analysis, evaluation, and training/first-rate-tuning can be necessary for any downstream functions."

more on AI: CNET Says It’s a complete twist of fate It’s shedding humans After Publishing AI-Generated Articles


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