Is the problem AI or the physician?
In this month’s issue: See this week's #neatcase, the most interesting medical cases in hematology, and the community gives their opinion on trusting AI for diagnosing.
This week's #neatcase: A Giant Trichobezoar
16-year-old female. Positive psychiatric history of OCD. Uncontrollable repetitive thoughts with urge to pull and eat hair. Epigastric pain for the past six months with progressive loss of apetite and early satiety. Vomiting with increasing frequency for the last two months. Lean patient with hair cropped short. Soft, non-tender abdomen with no distention. Firm to hard mass palpable, craniocaudally extending from the below the subcostal margins to the infraumbilical region and horizontally between both midclavicular lines ...
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The Most Interesting Medical Cases in Hematology
Hematologists and other healthcare professionals regularly share new and fascinating cases to Figure 1. Here are five of the most interesting medical cases in hematology causing buzz in the community.
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Can AI be trusted for diagnosing in its current state?
A recent study published in JAMA Pediatrics indicated that over 83% of AI-generated diagnoses were found to be in error when compared to physician diagnoses. However, many earlier studies indicate that AI can outperform physicians when it comes to diagnosing. So is the problem the tool or the HCP using it?
Here's what the Figure 1 community had to say:
"AI will be a tool, for sure. It will maybe expand the differential diagnosis so as to not forget anything and sometimes offer benefits or usefulness of different tests. But only a human that knows what they're talking about will be able to accurately transmit to the AI the nuances of similar simptoms to reach the correct diagnosis."
"AI may analyze multiple variables in diagnosis, acting as a very technical colleague; meanwhile physician, will understand the subtle differences in patients."
"Since 1978 I heard that computers will be the next Diagnosing MDs. Up to now what we see is that it didn't yet happened. Nowadays AI presents incredible more power. It is imperative to tame all this power training personal in using it to achieve the best result it can deliver. We can see that it is a must to have the right questions to receive the right answers, and that can be seen by anyone that asks AI any question, in the current AI development state. Never forget that there are human lives in play when delivering questions to such a software. Human supervision must be implemented before the day a robot will perform medicine."
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