Orthoscribe is a clinical note plugin designed for medical professionals. It integrates with OrthoScribe's medical AI assistant and connects directly to your phone, enabling seamless dictation and efficient management of clinical notes. This tool aims to streamline the workflow of healthcare providers by simplifying the process of creating and managing medical records.
Orthoscribe
Orthographic transcription
Introduction
Feature
Seamless Dictation
Connect your phone to Orthoscribe for effortless dictation and note-taking, allowing for quick and accurate transcription of medical notes.
Clinical Note Management
Easily copy and paste clinical notes within the plugin, simplifying the organization and retrieval of important medical information.
User-Friendly Interface
Orthoscribe features an intuitive design that ensures a smooth user experience, making it easy for medical professionals to navigate and utilize the tool effectively.
Phone Integration
Link your smartphone directly to Orthoscribe, enabling seamless connectivity for dictation and note-taking on the go.
Free Extension
Orthoscribe is available as a free Chrome extension, with no subscription fees or hidden costs, making it accessible to all healthcare providers.
FAQ
Is Orthoscribe free to use?
Yes, Orthoscribe is a free extension with no subscription fees or hidden costs. You can use it without any additional charges.
How do I get started with Orthoscribe?
To start using Orthoscribe:
- Download and install the extension from the Chrome Web Store
- Connect your phone to Orthoscribe for seamless dictation
- Begin dictating your medical notes, which will be automatically transcribed
Can Orthoscribe be used for all types of medical notes?
Yes, Orthoscribe is designed specifically for medical note-taking and management, making it suitable for various types of clinical notes across different medical specialties.
Latest Traffic Insights
Monthly Visits
290.25 M
Bounce Rate
55.49%
Pages Per Visit
2.84
Time on Site(s)
113.64
Global Rank
-
Country Rank
-
Recent Visits
Traffic Sources
- Social Media:0.68%
- Paid Referrals:0.54%
- Email:0.11%
- Referrals:14.58%
- Search Engines:15.20%
- Direct:68.89%
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* Create a new notebook
* Install the `transformers` library by running `!pip install transformers`
* Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')`
* Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))`
Method 2: Google Apps Script
* Open Google Apps Script ([script.google.com](http://script.google.com))
* Create a new project
* Install the `transformers` library by running `npm install transformers`
* Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');`
* Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));`
Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.](https://static.right-ai.com/tools/2024/7/3/chromewebstore-google-com-detail-chatgpt-for-google-for-fr-pabeminldebomngnkgffiejipjjaaogi-thumbnail-1720037311.png "Get ChatGPT for Free with Google
You can now access ChatGPT, a powerful language model, for free with Google. Here's how:
Method 1: Google Colab
* Open Google Colab ([colab.research.google.com](http://colab.research.google.com))
* Create a new notebook
* Install the `transformers` library by running `!pip install transformers`
* Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')`
* Use the model to generate text using `input_text = \"Your input here\"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))`
Method 2: Google Apps Script
* Open Google Apps Script ([script.google.com](http://script.google.com))
* Create a new project
* Install the `transformers` library by running `npm install transformers`
* Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');`
* Use the model to generate text using `const inputText = \"Your input here\"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));`
Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.")
Get ChatGPT for Free with Google You can now access ChatGPT, a powerful language model, for free with Google. Here's how: Method 1: Google Colab * Open Google Colab ([colab.research.google.com](http://colab.research.google.com)) * Create a new notebook * Install the `transformers` library by running `!pip install transformers` * Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')` * Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))` Method 2: Google Apps Script * Open Google Apps Script ([script.google.com](http://script.google.com)) * Create a new project * Install the `transformers` library by running `npm install transformers` * Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');` * Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));` Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.
Get ChatGPT for Free with Google You can now access ChatGPT, a powerful language model, for free with Google. Here's how: Method 1: Google Colab * Open Google Colab ([colab.research.google.com](http://colab.research.google.com)) * Create a new notebook * Install the `transformers` library by running `!pip install transformers` * Import the `transformers` library and load the ChatGPT model using `from transformers import AutoModelForCausalLM, AutoTokenizer; model = AutoModelForCausalLM.from_pretrained('chatgpt'); tokenizer = AutoTokenizer.from_pretrained('chatgpt')` * Use the model to generate text using `input_text = "Your input here"; inputs = tokenizer.encode_plus(input_text, return_tensors='pt', max_length=1024, padding='max_length', truncation=True); output = model(inputs['input_ids'], attention_mask=inputs['attention_mask']); print(tokenizer.decode(output.logits[0], skip_special_tokens=True))` Method 2: Google Apps Script * Open Google Apps Script ([script.google.com](http://script.google.com)) * Create a new project * Install the `transformers` library by running `npm install transformers` * Import the `transformers` library and load the ChatGPT model using `const { AutoModelForCausalLM, AutoTokenizer } = require('transformers'); const model = new AutoModelForCausalLM('chatgpt'); const tokenizer = new AutoTokenizer('chatgpt');` * Use the model to generate text using `const inputText = "Your input here"; const inputs = tokenizer.encodePlus(inputText, { return_tensors: 'pt', max_length: 1024, padding: 'max_length', truncation: true }); const output = model(inputs.inputIds, inputs.attentionMask); console.log(tokenizer.decode(output.logits[0], { skipSpecialTokens: true }));` Note: These methods require some technical knowledge and may have limitations compared to the original ChatGPT model.How to Add ChatGPT to All Google Searches ===================================================== Step 1: Create a Custom Search Engine -------------------------------------- * Go to the [Google Custom Search Engine](https://cse.google.com/) website and sign in with your Google account. * Click on the "New Search Engine" button. * Fill in the required information, such as the name and description of your search engine. * Click on the "Create" button. Step 2: Add ChatGPT to the Search Engine ----------------------------------------- * In the "Setup" tab, click on the "Add" button next to "Sites to search". * Enter the following URL: `https://chat.openai.com/` * Click on the "Add" button. Step 3: Configure the Search Engine -------------------------------------- * In the "Setup" tab, click on the "Edit" button next to "Search engine keywords". * Add the following keywords: `ChatGPT` * Click on the "Save" button. Step 4: Get the Search Engine Code ------------------------------------- * In the "Setup" tab, click on the "Get code" button. * Copy the HTML code provided. Step 5: Add the Search Engine to Your Browser ------------------------------------------------ * Open your browser and go to the "Settings" or "Options" page. * Look for the "Search engine" or "Default search engine" option. * Click on the "Add" or "Manage search engines" button. * Paste the HTML code you copied earlier. * Click on the "Add" or "Save" button. You're Done! =============== Now, whenever you search on Google, ChatGPT will be included in the search results. You can also use the custom search engine URL provided by Google to search directly.
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GPT for Google Search * What is GPT? GPT stands for Generative Pre-trained Transformer. It's a type of artificial intelligence (AI) that can understand and generate human-like text. * How could GPT improve Google Search? GPT could help Google Search in several ways: * Better understanding of natural language: GPT is trained on massive amounts of text data, allowing it to understand complex and nuanced search queries. * More conversational search experience: GPT could enable users to interact with Google Search in a more natural, conversational way. * Summarizing search results: GPT could condense large amounts of information from search results into concise summaries. * Generating different creative text formats: GPT could help users find information in new and interesting ways, such as generating poems, code, scripts, musical pieces, email, letters, etc., based on their search queries. * Challenges and Considerations: While GPT offers exciting possibilities, there are also challenges to consider: * Accuracy and bias: GPT models can sometimes generate inaccurate or biased information. It's crucial to ensure that GPT-powered search results are reliable and unbiased. * Transparency and explainability: It can be difficult to understand how GPT arrives at its results. Making GPT's decision-making process more transparent is important for building trust. * Ethical implications: The use of GPT in search raises ethical questions about the potential for misuse, such as generating harmful content or manipulating search results.
GPT for Google Search * What is GPT? GPT stands for Generative Pre-trained Transformer. It's a type of artificial intelligence (AI) that can understand and generate human-like text. * How could GPT improve Google Search? GPT could help Google Search in several ways: * Better understanding of natural language: GPT is trained on massive amounts of text data, allowing it to understand complex and nuanced search queries. * More conversational search experience: GPT could enable users to interact with Google Search in a more natural, conversational way. * Summarizing search results: GPT could condense large amounts of information from search results into concise summaries. * Generating different creative text formats: GPT could help users find information in new and interesting ways, such as generating poems, code, scripts, musical pieces, email, letters, etc., based on their search queries. * Challenges and Considerations: While GPT offers exciting possibilities, there are also challenges to consider: * Accuracy and bias: GPT models can sometimes generate inaccurate or biased information. It's crucial to ensure that GPT-powered search results are reliable and unbiased. * Transparency and explainability: It can be difficult to understand how GPT arrives at its results. Making GPT's decision-making process more transparent is important for building trust. * Ethical implications: The use of GPT in search raises ethical questions about the potential for misuse, such as generating harmful content or manipulating search results.Add ChatGPT to Google Search This is a popular idea! Many people think it would be amazing to have the power of ChatGPT directly integrated into Google Search. Imagine being able to ask Google a complex question and getting a clear, concise, and human-like response generated by ChatGPT. It could revolutionize how we search for information and interact with the web.
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