HealthcareAgent

AI Agent for Healthcare: HeathcareAgent Pypi Package for Common Agentic APIs and Awesome Healthcare AI Agent Projects

This is the official github repo of pypi package HeathcareAgent. This repo is intended to provide common APIs interface to help develop Healthcare related AI Agents.

** IMPORTANT LEGAL DISCLAIMER **

HeathcareAgent is not affiliated, endorsed, or vetted by Heathcare Agents or Institutions. It’s an open-source tool that uses finance APIs.

In healthcare industry, many professionals can benefit from AI technology especially the AI Agent and LLM (ChatGPT style chatbot). Here are some key professionals whose workflow and productivity can be improved by AI Agents technology. They can be released from heavy burden of paper work, writing reports, making general advice and consulting, etc.

AI Agent for Healthcare Types and Awesome Projects

Application AI Agent Description
Clinical Decision Support IBM Watson Health Helps analyze medical literature and patient data to provide evidence-based treatment recommendations.
Clinical Decision Support Infermedica Provides diagnostic support and triage for healthcare professionals.
Clinical Decision Support Buoy Health A chatbot for symptom checking and guiding users to appropriate care.
Virtual Health Assistants Ada Health Symptom checker and health assessment app with AI-driven insights.
Virtual Health Assistants Babylon Health Provides symptom checks, virtual consultations, and health monitoring tools.
Virtual Health Assistants Sensely A virtual assistant for managing chronic conditions and improving patient engagement.
Patient Management HealthTap Offers virtual doctor consultations and AI-based symptom checking.
Patient Management Ginger Mental health AI for providing chat-based therapy and support.
Medical Imaging and Diagnostics Aidoc AI-powered imaging analysis for detecting anomalies in radiology scans.
Medical Imaging and Diagnostics Zebra Medical Vision Automates the analysis of medical imaging data for early detection of diseases.
Medical Imaging and Diagnostics Arterys Uses AI for advanced imaging in cardiology, oncology, and other specialties.
Drug Discovery and Development Atomwise AI-driven platform for discovering potential drug compounds.
Drug Discovery and Development BenevolentAI Combines AI and biomedical data to accelerate drug discovery.
Drug Discovery and Development DeepMind (AlphaFold) Revolutionizes protein folding predictions for pharmaceutical research.
Mental Health and Therapy Woebot A chatbot offering cognitive behavioral therapy (CBT) for anxiety and depression.
Mental Health and Therapy Replika Acts as a conversational agent for emotional support and companionship.
Mental Health and Therapy Wysa AI for mental health assistance, focusing on stress and emotional well-being.
Personalized Medicine 23andMe AI Uses genetic data to provide personalized health insights and risk assessments.
Personalized Medicine Tempus Employs AI to personalize cancer treatments based on genetic and molecular data.
Chronic Disease Management Livongo Combines AI with connected devices for managing diabetes, hypertension, and weight loss.
Chronic Disease Management Omada Health AI-based coaching for chronic disease prevention and management.
Elderly Care and Accessibility EllieQ by Intuition Robotics AI companion for reducing loneliness and enhancing quality of life in seniors.
Elderly Care and Accessibility Paro Robot Therapeutic AI robot designed for dementia and Alzheimer’s patients.
Workflow Optimization DeepScribe AI-powered medical scribe to automate clinical documentation.
Workflow Optimization Nuance Dragon Medical Speech recognition AI for documenting patient encounters.

AI Agent for Healthcare Common APIs

API NAME SOURCE WEBSITE DESCRIPTION
food_calories_usda USDA https://fdc.nal.usda.gov/ U.S. Department of Agriculture Food Search for Ingredients and Calories

USDA Food Ingredients and Energies

Install

pip install HealthcareAgent

Run Case


import HealthcareAgent as ha

def run_fetch_health_food_calories():

    ## group 1:
    print ("DEBUG: ### Food Nutritions for Brand Starbucks")
    result_dict = ha.api(api_name="food_calories_usda", query="Starbucks", topk=10)
    item_list = result_dict["item_list"]
    item_dict = result_dict["item_dict"]
    item_list_pretty = result_dict["item_list_pretty"]
    print ("DEBUG: ## Return Item List")
    print (item_list)
    print ("DEBUG: ## Return Item Dict")    
    print (item_dict)
    print ("DEBUG: ## Return Item Print Pretty")        
    [print (line) for line in item_list_pretty]


    ## group 2:
    print ("DEBUG: ### Food Nutritions for Peet's Coffee")
    result_dict = ha.api(api_name="food_calories_usda", query="peet", topk=10)
    item_list = result_dict["item_list"]
    item_dict = result_dict["item_dict"]
    item_list_pretty = result_dict["item_list_pretty"]
    print ("DEBUG: ## Return Item List")
    print (item_list)
    print ("DEBUG: ## Return Item Dict")    
    print (item_dict)
    print ("DEBUG: ## Return Item Print Pretty")        
    [print (line) for line in item_list_pretty]


def main():
    run_fetch_health_food_calories()

if __name__ == '__main__':
    main()

Use Case 1: Nutritionist AI Agent Find Food Calories of Starbucks Coffee



1. CHILLED COFFEE DRINK
$$starbucks CHILLED COFFEE DRINK(#image)$$
Every 100g:
Energy71.0KCALFiber, total dietary0.0G
Calcium, Ca85.0MG
Iron, Fe0.09MG
Vitamin A, IU0.0IU
Vitamin C, total ascorbic acid0.0MG
Protein2.19G
Total lipid (fat)1.09G
Carbohydrate, by difference12.9G
Total Sugars11.2G
Sodium, Na36.0MG
Cholesterol5.0MG
Fatty acids, total trans0.0G
Fatty acids, total saturated0.73G


2. CLASSIC HOT COCOA MIX, CLASSIC
$$starbucks CLASSIC HOT COCOA MIX, CLASSIC(#image)$$
Every 100g:
Energy357KCALProtein7.14G
Total lipid (fat)8.93G
Carbohydrate, by difference78.6G
Total Sugars60.7G
Fiber, total dietary10.7G
Calcium, Ca57.0MG
Iron, Fe14.3MG
Potassium, K986MG
Sodium, Na0.0MG
Vitamin D (D2 + D3), International Units0.0IU
Sugars, added57.1G
Cholesterol0.0MG
Fatty acids, total trans0.0G
Fatty acids, total saturated5.36G


3. COFFEE & PROTEIN BEVERAGE
$$starbucks COFFEE & PROTEIN BEVERAGE(#image)$$
Every 100g:
Energy61.0KCALCalcium, Ca91.0MG
Iron, Fe0.11MG
Vitamin A, IU0.0IU
Vitamin C, total ascorbic acid0.0MG
Protein6.06G
Total lipid (fat)0.76G
Carbohydrate, by difference10.3G
Total Sugars6.36G
Fiber, total dietary0.6G
Sodium, Na36.0MG
Cholesterol3.0MG
Fatty acids, total trans0.0G
Fatty acids, total saturated0.45G


4. COLD BREW PREMIUM COFFEE DRINK WITH CREAM
$$starbucks COLD BREW PREMIUM COFFEE DRINK WITH CREAM(#image)$$
Every 100g:
Energy46.0KCALFiber, total dietary0.0G
Calcium, Ca46.0MG
Iron, Fe0.11MG
Vitamin A, IU0.0IU
Vitamin C, total ascorbic acid0.0MG
Protein1.54G
Total lipid (fat)1.38G
Carbohydrate, by difference7.38G
Total Sugars6.46G
Sodium, Na52.0MG
Cholesterol5.0MG
Fatty acids, total trans0.0G
Fatty acids, total saturated0.77G


5. ENERGY COFFEE BEVERAGE
$$starbucks ENERGY COFFEE BEVERAGE(#image)$$
Every 100g:
Energy45.0KCALCalcium, Ca90.0MG
Iron, Fe0.08MG
Vitamin A, IU90.0IU
Vitamin D (D2 + D3), International Units18.0IU
Vitamin C, total ascorbic acid6.8MG
Riboflavin0.767MG
Niacin9.03MG
Vitamin B-60.903MG
Protein2.26G
Total lipid (fat)0.68G
Carbohydrate, by difference7.67G
Total Sugars6.55G
Fiber, total dietary0.2G
Potassium, K237MG
Sodium, Na38.0MG
Cholesterol3.0MG
Fatty acids, total trans0.0G
Fatty acids, total saturated0.34G


6. ESPRESSO BEVERAGE
$$starbucks ESPRESSO BEVERAGE(#image)$$
Every 100g:
Energy60.0KCALCalcium, Ca72.0MG
Iron, Fe0.17MG
Vitamin A, IU24.0IU
Vitamin C, total ascorbic acid0.0MG
Protein2.42G
Total lipid (fat)1.09G
Carbohydrate, by difference9.9G
Total Sugars9.18G
Fiber, total dietary0.2G
Sodium, Na68.0MG
Cholesterol4.0MG
Fatty acids, total trans0.0G
Fatty acids, total saturated0.72G


7. ESPRESSO BEVERAGE, SMOKED BUTTERSCOTCH LATTE
$$starbucks ESPRESSO BEVERAGE, SMOKED BUTTERSCOTCH LATTE(#image)$$
Every 100g:
Energy53.0KCALFiber, total dietary0.0G
Calcium, Ca60.0MG
Iron, Fe0.0MG
Vitamin A, IU24.0IU
Vitamin C, total ascorbic acid0.0MG
Protein1.93G
Total lipid (fat)1.09G
Carbohydrate, by difference8.7G
Total Sugars8.21G
Sodium, Na27.0MG
Cholesterol4.0MG
Fatty acids, total trans0.0G
Fatty acids, total saturated0.72G


8. FRAPPUCCINO CHILLED COFFEE DRINK
$$starbucks FRAPPUCCINO CHILLED COFFEE DRINK(#image)$$
Every 100g:
Energy73.0KCALCalcium, Ca73.0MG
Iron, Fe0.18MG
Vitamin A, IU0.0IU
Vitamin C, total ascorbic acid0.0MG
Protein2.43G
Total lipid (fat)1.09G
Carbohydrate, by difference13.1G
Total Sugars11.4G
Fiber, total dietary0.2G
Sodium, Na34.0MG
Cholesterol5.0MG
Fatty acids, total trans0.0G
Fatty acids, total saturated0.73G


9. ICED COFFEE
$$starbucks ICED COFFEE(#image)$$
Every 100g:
Energy33.0KCALFiber, total dietary0.0G
Calcium, Ca18.0MG
Iron, Fe0.0MG
Vitamin A, IU30.0IU
Vitamin C, total ascorbic acid0.0MG
Fatty acids, total saturated0.0G
Protein0.3G
Total lipid (fat)0.15G
Carbohydrate, by difference6.97G
Total Sugars6.36G
Sodium, Na6.0MG
Cholesterol2.0MG
Fatty acids, total trans0.0G


10. JUICE BLEND DRINK FROM CONCENTRATE
$$starbucks JUICE BLEND DRINK FROM CONCENTRATE(#image)$$
Every 100g:
Energy25.0KCALTotal lipid (fat)0.0G
Fiber, total dietary0.0G
Calcium, Ca6.0MG
Iron, Fe0.0MG
Vitamin A, IU0.0IU
Vitamin C, total ascorbic acid16.9MG
Niacin2.25MG
Pantothenic acid1.27MG
Vitamin B-60.254MG
Cholesterol0.0MG
Fatty acids, total saturated0.0G
Protein0.0G
Carbohydrate, by difference6.2G
Total Sugars5.35G
Sodium, Na13.0MG
Fatty acids, total trans0.0G


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