10+ Best AI Tools for Doctors

Alright, white coat warriors! It’s time to hang up that stethoscope for a moment and gather around.

We know you have the impressive ability to juggle a million tasks while simultaneously diagnosing that particularly tricky case ofโ€ฆwell, we’ll leave the complex medical jargon to you.

Now, we’re going to show you how the power of artificial intelligence (AI) can lend a hand (or a robotic arm) in your practice.

No need for a scalpel here, just sit back and let’s explore the top AI tools that will make your professional life a bit easier.

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1. IBM Watson Health

What it does: As a physician, your diagnosis is as good as the data you have. IBM Watson Health uses AI and cloud-based cognitive computing to translate vast amounts of data into actionable insights.

It can assist with clinical decision-making, streamline administrative tasks, and even help with patient data management.

Efficient data processingRequires robust digital infrastructure
Simplifies complex dataHigh cost
Assists in decision makingSome learning curve required

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2. Zebra Medical Vision

What it does: Zebra Medical Vision offers AI solutions for radiology, offering automated analysis of medical images to aid in diagnosing a range of diseases.

Accurate image analysisCosts may be prohibitive for smaller practices
Saves time for radiologistsRegulatory approval varies by country
Constantly learning from new dataRequires integration with existing systems

3. Google DeepMind Health

What it does: Google DeepMind Health is working on various projects to apply AI to healthcare, from diagnosing eye diseases to early detection of conditions like sepsis.

Innovative healthcare applicationsStill in developmental stages
Backed by Google’s resourcesMay present privacy concerns
Potential for early disease detectionLimited availability

4. Tempus

What it does: Tempus is using AI to personalize cancer care, gathering and analyzing vast amounts of genetic and clinical data to help doctors make more precise treatment decisions.

Personalized treatment plansPrimarily focused on oncology
Large-scale data analysisPotential for data security concerns
Integrates with electronic health recordsExpensive for smaller practices

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5. PathAI

What it does: PathAI is using AI to assist pathologists in making more accurate diagnoses, aiming to increase efficiency and reduce errors in pathology labs.

Enhances diagnostic accuracyLimited to pathology
Reduces human errorStill requires human validation
Potentially increases lab efficiencyCostly for smaller labs

Our Take

The intersection of AI and healthcare presents exciting opportunities to improve patient outcomes, streamline diagnostic processes, and enhance the efficiency of medical practices.

IBM Watson Health is a pioneering force in leveraging data for actionable healthcare insights. Zebra Medical Vision is revolutionizing radiology with AI-driven image analysis, while Google’s DeepMind Health holds great promise with its innovative healthcare applications.

Tempus’s focus on personalized cancer care demonstrates the potential for AI to tailor treatments to individual patients, and PathAI enhances the accuracy of lab diagnoses.

Each tool carries its own set of advantages and limitations, so it’s crucial to evaluate your practice’s specific

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6. Aidoc

What it does: Aidoc provides radiologists with advanced AI imaging capabilities. It flags acute abnormalities in real-time, ensuring immediate attention to critical cases, reducing turnaround time, and increasing efficiency.

Real-time anomaly detectionPrimarily focused on radiology
Increased efficiencyRequires significant investment
Prioritizes critical casesIntegration with existing systems needed

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7. Butterfly Network

What it does: Butterfly Network has developed a handheld, pocket-sized ultrasound device powered by AI. This tool can capture whole-body imaging, making ultrasound technology accessible and affordable.

Affordable and portableDependent on user’s ability to capture quality images
Enables whole-body imagingImage interpretation still requires trained professionals
Accessible ultrasound technologyMight not replace traditional ultrasound in all cases

8. Nuance

What it does: Nuance offers AI-powered solutions for clinical documentation. Its products, such as Dragon Medical One, use voice recognition to allow doctors to document patient care more efficiently.

Streamlines documentationRequires training and adaptation
Enhances productivityCan be costly
Voice recognition technologyPossible errors in speech recognition

9. Olive

What it does: Olive uses AI to automate healthcare’s most burdensome administrative tasks. It functions as an AI workforce, streamlining workflows and reducing the cost of healthcare operations.

Reduces administrative workloadCostly initial investment
Enhances operational efficiencyRequires integration with existing systems
Potential for cost savingsHigh reliance on digital infrastructure

10. Cogito

What it does: Cogito applies AI in behavioral science to enhance the emotional intelligence of healthcare providers. It improves patient communication and caregiver support.

Enhances patient communicationValue may be difficult to quantify
Supports caregiver emotional healthRequires buy-in from staff
Applies behavioral science in healthcareMight be less useful in certain specialties

Our Take

These AI tools are redefining the way doctors operate and manage their practice.

The second batch of tools demonstrates the broad applicability of AI, from radiology to administrative tasks.

Aidoc and Butterfly Network are making significant advancements in medical imaging, Nuance is streamlining the way doctors document patient interactions, Olive is cutting down on the tedious paperwork, and Cogito is even improving the way healthcare providers interact with patients.

While the advantages of AI in healthcare are immense, it’s important to be mindful of the initial costs and necessary digital infrastructures involved.


The world of AI offers an array of innovative tools that can significantly benefit the medical industry.

Whether it’s the accessible ultrasound technology of Butterfly Network or the AI imaging of Aidoc, the free and open-source nature of the majority of these tools make them highly accessible for all healthcare providers.

Best free tool: IBM Watson Health
Best paid tool: Tempus
Best tool for startups: Butterfly Network
Best tool for enterprises: IBM Watson Health
Most expensive tool: Tempus
Cheapest tool: IBM Watson Health

When selecting AI tools, it’s essential to consider your practice’s specific needs, existing digital infrastructure, and budget.

Not every AI tool will be the right fit for every practice. As always, remember to thoroughly research before your purchase.

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Mani Karthik

About the Author

Mani Karthik

Startup Mentor, Tech Blogger & Entrepreneur.

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