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Offer curated lists of medical terms specific to different medical specialties.
Details
LLM Integration: Use LLMs to analyze medical terms and suggest appropriate specialties based on their descriptions and context.
Implementation: Tag each term in the database with one or more specialties using LLM analysis. Provide commands in the Discord bot where interpreters can select a specialty to view the relevant terms.
python
@client.event
async def on_message(message):
if message.content.startswith('!specialty'):
specialty = message.content[len('!specialty '):]
response = openai.Completion.create(
engine="text-davinci-003",
prompt=f"List medical terms for the specialty: {specialty}",
max_tokens=100
)
terms = response.choices[0].text.strip().split(',')
await message.channel.send(f"Terms for {specialty}: {', '.join(terms)}")
The text was updated successfully, but these errors were encountered:
diegoabeltran16
changed the title
Provide specialty-specific term lists.
2. Provide specialty-specific term lists.
Jul 17, 2024
diegoabeltran16
changed the title
2. Provide specialty-specific term lists.
Provide specialty-specific term lists.
Jul 17, 2024
Objective
Offer curated lists of medical terms specific to different medical specialties.
Details
python
@client.event
async def on_message(message):
if message.content.startswith('!specialty'):
specialty = message.content[len('!specialty '):]
response = openai.Completion.create(
engine="text-davinci-003",
prompt=f"List medical terms for the specialty: {specialty}",
max_tokens=100
)
terms = response.choices[0].text.strip().split(',')
await message.channel.send(f"Terms for {specialty}: {', '.join(terms)}")
The text was updated successfully, but these errors were encountered: