Best 17 generative ai in healthcare Tools in 2025

Niah AI, Carepatron, iHairium, Generative AI Playbook by PromptxAI, Product Prompt, Midjourney, Contents.com, Components AI, ClinicIQ, PetsApp are the best paid / free generative ai in healthcare tools.

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1
Cutting-edge AI healthcare assistant
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47.63%
1
AI-powered healthcare for hair and skin.
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89.61%
4
Using Generative AI for growth and innovation: PromptxAI's Playbook provides examples and techniques.
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3
Simplify prompt composition for generative AI.
30.4K
13.95%
4
Generative AI Styles for better images.
21.7K
32.30%
3
Generative AI platform for impactful content.
10.0K
26.42%
0
Explore generative design systems
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1
A comprehensive tool to assist doctors in accurate diagnoses and effective treatment plans.
63.4K
72.35%
1
A veterinary engagement and communication platform.
11.6K
43.40%
0
AI-powered diagnostic solutions for cancer care
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2
ThincHealth offers personalized healthcare and smart technology solutions in South East Asia and Pacific Oceans.
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100.00%
3
Next-gen AI system recommends hospitals based on user preferences.
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51.37%
3
"Medicodio is an AI assistant that improves medical coding accuracy and efficiency."
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0
Discover breakthrough drugs with Aitia.
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90.48%
0
Optimized prompts for text generation.
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52.24%
5
NEON creates realistic virtual humans for personal interaction and assistance.
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What is generative ai in healthcare?

Generative AI in healthcare refers to the application of advanced artificial intelligence techniques, such as deep learning and natural language processing, to generate novel insights, solutions, and personalized treatments in the medical field. This technology has the potential to revolutionize healthcare by enabling more accurate diagnoses, developing new drugs and therapies, and improving patient outcomes through data-driven decision-making.

What is the top 10 AI tools for generative ai in healthcare?

Core Features
Price
How to use

Carepatron

Customizable tools and workflows
Online scheduling
Client management
Telehealth services
Client portal
Automated workflows
Invoicing and payments

Manage client notes, forms, scheduling, client management, telehealth services, invoicing, and more

PetsApp

Text and SMS chat
Appointment booking
Reminders
Digital payments
Video calls
AI-assisted communication (CoPilot)
Wellness and Loyalty Plans

Text and SMS chat, appointment booking, reminders, digital payments, video calls, AI-assisted communication (CoPilot), Wellness and Loyalty Plans

Midjourney

Explore hundreds of AI art styles
Find new styles for your AI image prompts
Get new styles every week

To use Midjourney, simply copy the prompt, swap the subject, and drop it into your favorite generator. It's completely free!

Contents.com

content ideation
content creation
content transformation
keyword optimization
machine-based translation
glossary creation
draft proofreading
virtual editing
nlg draft proofreading
SEO-oriented texts
copywriting
marketing copy
website content creation
blog post writing

Login to the platform, choose from a variety of tools such as AI Chat, AI Writer, AI Art, Audio ↔ Text, and AI Translation to support your content creation needs. Generate high-performing, original, and SEO-optimized content for your digital channels.

Ibex

AI-powered cancer detection
Clinically-proven accuracy
Efficient workflow optimization

Watch the video to learn how to use Ibex's field-proven, AI-powered diagnostic solutions for better cancer care

Components AI

Visually design custom design tools, generative components, pages, and sites
Import or define design tokens to use in all of your designs
Cycle through generated designs or create your own from scratch with the ease of parametric controls
Manipulate parameters until the design is just right
Vote generated designs up or down to curate future output
Export designs in a growing list of formats including: React, JS, JSON, JSX, SVG, PNG, HTML, CSS, CSS custom properties, and Sass
Instantly share your designs with colleagues or clients to present or collaborate
Design with scales and systems. Components automatically use your defined brand guidelines, retaining the ability to override with custom values at any time
Start using your visual brand immediately. Audit and edit or use to drive constraints for generative components
Rapid visual feedback loops for contrast scores and accessible combinations available in a theme
Don't just design for a single screen size. Easily target values across your defined breakpoints. Manage responsive typography, layout, and spacing
Full support for the entire Google Font Library + any fonts you have installed locally
The first design tool with full support for variable fonts. Automatically exposes all custom axis so you can get the fine-grained control variable fonts were meant to enable
Browse curated presets to customize or use in your designs

Free Free Basic features with limited access
Pro $19/month Advanced features with full access
Enterprise Contact for pricing Customized features for large organizations

Build custom design tools without writing any code. Create responsive components, pages, and sites that you can use in any type of web project. Style markup templates with curated themes or your own design tokens.

Medicodio

AI-powered code search function
Intelligent code suggestions
Expert medical coder verification
Reduced denial claims
Increased revenue
Reduced coder burnout

To use Medicodio, healthcare facilities, RCM companies, and medical coders can access Codio, the software provided by Medicodio. It offers two main solutions: SaaS (Software as a Service) and MCaaS (Medical Coding as a Service). With SaaS, users can access Codio from anywhere to increase coding efficiency and reduce errors. With MCaaS, users can let Medicodio handle the complete medical coding process for them. Users can also integrate Codio with their existing EHR/EMR systems or physician's notes for seamless data entry and analysis.

NEON

Real-time conversation and engagement
Responsive and fluent virtual beings
Cloud-native infrastructure
Cutting-edge realtime inference technology
Hyper-realistic generative AI-powered virtual beings

To use NEON, simply interact with the virtual beings through a digital interface. They can respond to conversations, engage in real-time dialogue, and provide assistance based on the user's needs or queries.

iHairium

The core features of iHairium include AI diagnostics for hair and scalp conditions, online counseling from top trichologists, blog tips from physicians, a world ranking of hair transplant clinics, and global coverage in real time. The app is developed in collaboration with trichologists and other hair and scalp experts to provide accurate and fast diagnosis.

iHairium is an online hair and scalp service with AI-diagnostics, providing help with hair loss and baldness. Users can download the iHairium app to achieve their hair and scalp goals, receive personalized recommendations, and access consultations with trichologists, dermatologists, and nutritionists.

Claude Prompts

Text generation
Prompt optimization

To use Claude Prompts, craft specific and clear instructions or context for the model, input them into a chosen platform or tool, then generate and refine text outputs iteratively based on the model's responses.

Newest generative ai in healthcare AI Websites

Discover breakthrough drugs with Aitia.
Explore generative design systems
AI-powered diagnostic solutions for cancer care

generative ai in healthcare Core Features

Predictive modeling for early disease detection and risk assessment

Drug discovery and development using AI-driven molecular design

Personalized treatment plans based on patient data and AI algorithms

Medical image analysis for improved diagnostic accuracy

Natural language processing for electronic health record analysis and clinical decision support

What is generative ai in healthcare can do?

Oncology: AI-driven analysis of medical images and genomic data to improve cancer diagnosis, staging, and treatment planning.

Cardiology: Predictive modeling of cardiovascular risk factors and AI-assisted interpretation of ECG and cardiac imaging data.

Neurology: AI-based analysis of neuroimaging data and electronic health records to aid in the diagnosis and management of neurological disorders.

Infectious Diseases: AI-driven surveillance and prediction of disease outbreaks, as well as optimization of antibiotic prescribing practices.

Mental Health: AI-powered chatbots and virtual assistants for mental health screening, monitoring, and therapy delivery.

generative ai in healthcare Review

User reviews of generative AI in healthcare are generally positive, with many healthcare providers and researchers praising its potential to improve patient outcomes and accelerate medical research. However, some users express concerns about the interpretability and transparency of AI models, as well as the need for robust data governance and ethical frameworks. Overall, reviewers agree that generative AI is a powerful tool for healthcare innovation, but one that must be developed and deployed responsibly in collaboration with domain experts and stakeholders.

Who is suitable to use generative ai in healthcare?

A patient undergoes a routine medical imaging scan, which is analyzed by an AI system to detect early signs of cancer that may have been missed by human radiologists.

A healthcare provider uses an AI-powered clinical decision support tool to generate personalized treatment recommendations based on a patient's genetic profile, medical history, and lifestyle factors.

A pharmaceutical company leverages generative AI to design novel drug compounds with desired therapeutic properties, accelerating the drug discovery process and reducing development costs.

How does generative ai in healthcare work?

Implementing generative AI in healthcare typically involves the following steps: 1) Collecting and preprocessing large amounts of patient data, including electronic health records, medical images, and genomic information. 2) Training deep learning models on this data to identify patterns, predict outcomes, and generate novel insights. 3) Validating the AI models through rigorous testing and clinical trials to ensure their safety and efficacy. 4) Integrating the AI systems into existing healthcare workflows and decision-making processes, such as diagnostic tools and treatment planning software. 5) Continuously monitoring and updating the AI models as new data becomes available to improve their performance and adapt to changing healthcare needs.

Advantages of generative ai in healthcare

Improved diagnostic accuracy and early disease detection

Accelerated drug discovery and development timelines

Personalized treatment plans tailored to individual patient needs

Enhanced patient outcomes and quality of life

Reduced healthcare costs through more efficient resource allocation and preventive care

FAQ about generative ai in healthcare

What is generative AI in healthcare?
How can generative AI improve patient outcomes?
What types of data are used to train generative AI models in healthcare?
Is generative AI in healthcare safe and reliable?
How can healthcare providers integrate generative AI into their practice?
What are the potential risks and challenges of generative AI in healthcare?