8 AI Tools For Doctors to Try

There are a host of powerful AI tools for doctors designed to enhance patient care, streamline administrative tasks, and accelerate research. From automating clinical notes to providing real-time diagnostic support, these solutions are helping physicians reclaim valuable time and improve clinical outcomes.

However, adopting AI in a medical setting comes with a significant challenge: ensuring patient data privacy and safety. Mainstream closed AI models like ChatGPT, Gemini, Grok, etc. often train on user inputs, creating serious risks of data breaches and exposing protected health information (PHI). This makes choosing the right AI tool for doctors crucial.

This guide explores 8 top AI tools for doctors, focusing on platforms that offer a blend of powerful features and robust security. We will cover a range of applications, from diagnostic imaging assistants to secure, private chat platforms like Okara, helping you find the right technology to safely integrate into your clinical workflow.

How AI is Shaping Modern Healthcare

Artificial intelligence is playing a transformative role in medicine by augmenting the capabilities of healthcare professionals. It excels at analyzing vast datasets far faster than humanly possible, leading to breakthroughs in diagnostics, treatment planning, and operational efficiency.

• Enhancing Diagnostics: AI algorithms can analyze medical images like X-rays, CT scans, and MRIs with a level of precision that rivals, and sometimes exceeds, human experts. This helps in the early and accurate detection of conditions ranging from cancerous tumors to diabetic retinopathy.
• Personalizing Treatment: By integrating a patient's genomic data with clinical records and the latest medical research, AI platforms help create highly personalized treatment plans. This is particularly impactful in fields like oncology, where tailored therapies can dramatically improve patient outcomes.
• Automating Administrative Burden: One of the most immediate benefits of AI tools for doctors is the automation of routine tasks. AI can draft patient notes, summarize clinical records, handle scheduling, and process insurance claims, freeing up physicians to focus more on direct patient interaction and complex decision-making.
• Improving Clinical Workflows: AI-driven systems optimize hospital operations by predicting patient admission rates, managing staff schedules, and streamlining patient flow. This leads to more efficient, cost-effective, and higher-quality care delivery.

As these technologies mature, they are becoming indispensable partners for medical professionals who want to stay at the forefront of innovation while delivering the best possible care.

8 Useful AI Tools for Doctors in 2025

The market for medical AI is expanding quickly. Here are eight of the most useful and innovative AI tools for doctors that are making a significant impact on the healthcare landscape.

1. Okara

Best For: Secure, HIPAA-compliant AI chat and document analysis for all medical specializations.

Okara is a private AI workspace built specifically for healthcare professionals who demand the highest levels of security and privacy. Unlike public AI models that pose a risk to patient data, Okara provides a HIPAA-compliant environment where all interactions are encrypted and never used for AI training. This makes it a foundational tool for any doctor looking to leverage AI without compromising patient confidentiality.

Okara’s platform offers secure access to over 20 powerful open-source AI models, including Deepseek V3.2, Llama 4 Maverick, and Mistral. This allows doctors to switch between different models to find the best fit for their task, whether it's summarizing the latest clinical research, drafting compliant SOAP notes, or analyzing anonymized case data. Users can upload various file types, including PDFs, lab results, and medical imaging reports, to analyze complex information directly within the chat interface.

Key Features:

• HIPAA-Compliant and Secure: Ensures all interactions involving PHI are private and encrypted, meeting strict medical ethics standards.
• Zero Data Training: Guarantees that patient data and clinical notes are never used to train AI models.
• Access to 20+ AI Models: Provides the flexibility to use specialized open-source models for different clinical, research, and administrative tasks.
• Advanced Document Analysis: Effortlessly handle and analyze medical records, research papers, and EHR data by uploading files directly into the chat.

Weaknesses:

• Its focus is on providing a secure gateway to open-source models, so it does not host proprietary models like ChatGPT or Gemini.

2. Keragon

Best For: Automating clinical and operational workflows without writing code.

Keragon is a HIPAA-compliant AI automation platform designed to connect disparate healthcare systems. It acts as a bridge between your EHR, lab systems, scheduling tools, and communication platforms. For doctors and their administrative staff, this means automating repetitive, time-consuming tasks that contribute to burnout.

With Keragon, you can create no-code automations for processes like patient intake, appointment reminders, and lab result notifications. This streamlines operations and ensures seamless data flow across your practice, reducing manual errors and freeing up valuable time for patient care.

Key Features:

• No-Code Automation: Build complex workflows without needing a development team.
• HIPAA-Compliant: Built with data security and regulatory compliance at its core.
• Broad Integration: Connects with hundreds of healthcare apps and systems.

Weaknesses:

• Primarily an automation platform, it is not a direct AI chat interface for clinical queries or research.

3. Aidoc

Best For: Radiologists and emergency department physicians needing real-time diagnostic support.

Aidoc is a leading AI platform for medical imaging that helps doctors prioritize and diagnose critical conditions. It operates in the background, continuously analyzing medical images like CT scans for acute abnormalities. When it detects a suspected finding, such as a brain hemorrhage, pulmonary embolism, or vertebral fracture, it flags the case in the radiologist's worklist.

This "always-on" approach ensures that time-sensitive cases are reviewed immediately, dramatically reducing turnaround times and improving patient outcomes in emergency situations. It acts as an invaluable safety net, helping to manage large workloads without missing critical findings.

Key Features:

• Prioritizes Critical Cases: Automatically flags urgent findings in imaging studies.
• Comprehensive Coverage: Scans for a wide range of acute conditions across the body.
• Seamless Workflow Integration: Works within the existing PACS and radiology workflow.

Weaknesses:

• Highly specialized for radiology and is not a general-purpose AI tool.

4. PathAI

Best For: Pathologists seeking to improve diagnostic accuracy and efficiency.

PathAI is an AI-powered pathology platform that uses deep learning to help pathologists make more accurate and reproducible diagnoses. The tool analyzes digital pathology slides to identify and quantify cancer cells and other disease indicators, providing a powerful "second opinion" and reducing the risk of misdiagnosis due to human error or fatigue.

By providing quantitative data and highlighting areas of interest, PathAI helps standardize diagnoses and supports the development of new precision medicine therapies. It is an essential tool in oncology, where precise diagnostic information is critical for treatment planning.

Key Features:

• Enhanced Diagnostic Accuracy: Improves the detection of cancer and other diseases from pathology slides.
• Quantitative Analysis: Provides objective data to support the pathologist's assessment.
• Supports Research: Aids in biomarker development and clinical trials.

Weaknesses:

• Its application is limited to the field of pathology.

5. Tempus

Best For: Oncologists and specialists focused on precision medicine.

Tempus is a technology company at the forefront of data-driven precision medicine. Its platform uses AI to analyze vast libraries of clinical and molecular data, helping doctors make more informed treatment decisions. By combining a patient's genomic sequencing data with their clinical history, Tempus can identify therapeutic options that are personalized to their unique biological profile.

This AI tool is particularly powerful for oncologists treating complex cancers. It provides insights into which treatments are most likely to be effective, helping to avoid trial-and-error approaches and improve patient responses.

Key Features:

• Genomic Profiling: Offers a large library of genomic and molecular tests.
• Data-Driven Insights: Uses AI to connect molecular data with clinical outcomes.
• Personalized Treatment Planning: Helps tailor therapies to individual patients.

Weaknesses:

• Focused primarily on oncology and the collection of molecular data, making it less relevant for other medical fields.

6. Butterfly iQ+

Best For: Point-of-care ultrasound (POCUS) across multiple specializations.

Butterfly iQ+ is a revolutionary handheld ultrasound device that connects to a smartphone or tablet. It uses AI to make medical imaging more accessible, affordable, and easy to use. The AI-powered software guides clinicians through capturing high-quality images and provides automated calculations, such as bladder volume or ejection fraction.

This tool empowers doctors in primary care, emergency medicine, and even remote settings to perform diagnostic imaging at the bedside. It accelerates diagnosis, reduces the need for costly cart-based systems, and enhances the physical exam.

Key Features:

• Whole-Body Imaging: A single probe can scan the entire body.
• AI-Powered Guidance: Helps non-specialists capture diagnostic-quality images.
• Portable and Affordable: Makes ultrasound accessible in any clinical environment.

Weaknesses:

• Image quality may not match that of high-end, specialized ultrasound machines in all cases.

7. Caption Health

Best For: Clinicians with limited experience in performing echocardiograms.

Caption Health, now part of GE HealthCare, is another AI tool focused on democratizing medical imaging, with a specific focus on cardiac ultrasounds. Its platform provides real-time, prescriptive guidance that instructs users on how to capture diagnostic-quality heart scans. The AI offers turn-by-turn directions, corrects the user's hand movements, and automatically assesses image quality.

This technology allows a broader range of healthcare professionals, including nurses and medical residents, to perform echocardiograms confidently. This can lead to earlier detection of heart disease in primary care and emergency settings.

Key Features:

• Real-Time Guidance: AI software tells the user exactly where to move the probe.
• Automated Interpretation: Can automatically calculate key metrics like ejection fraction.
• Expands Access to Care: Enables cardiac assessments outside of the traditional cardiology lab.

Weaknesses:

• Highly specialized for cardiac ultrasound (echocardiography).

8. DeepMind Health (by Google)

Best For: Early detection of eye diseases and cutting-edge medical research.

Google's DeepMind has developed some of the most advanced AI tools for doctors, particularly in ophthalmology. In collaboration with hospitals, its AI system can analyze retinal scans to detect signs of diseases like diabetic retinopathy and age-related macular degeneration with an accuracy that matches leading experts.

By identifying these conditions at their earliest stages, the technology helps doctors prioritize patients who need urgent treatment, preventing irreversible vision loss. While not a standalone product for doctors to buy, the technology is being integrated into clinical pathways and represents the future of preventative screening.

Key Features:

• High Diagnostic Accuracy: Detects signs of disease that may be missed by the human eye.
• Early Disease Detection: Enables proactive treatment to prevent vision loss.
• Research-Driven: Represents the cutting edge of AI in medical diagnostics.

Weaknesses:

• Currently available primarily through research partnerships and hospital integrations rather than as a widely available commercial tool.

Final Thoughts: Choosing the Right AI Tool for Your Practice

The integration of AI into healthcare is no longer a question of "if," but "how." The AI tools for doctors listed above are just a few examples of how this technology is already streamlining workflows, enhancing diagnostic accuracy, and personalizing patient care.

While specialized tools like Aidoc and PathAI are transforming specific disciplines, foundational platforms are needed to bring the power of AI into everyday clinical practice safely. For any physician, patient confidentiality is paramount. This makes a secure, HIPAA-compliant solution an absolute necessity.

Okara provides that essential, private gateway to the world of AI. It empowers doctors to explore over 20 different open-source models for research, documentation, and clinical support, all while ensuring that protected health information remains secure. As you begin to integrate AI into your work, starting with a platform built on a foundation of privacy is the smartest first step.

FAQs

1. How does Okara ensure HIPAA compliance for doctors?Okara is built with strict medical privacy acrhitecture. All patient interactions are encrypted, private, and never used for model training, guaranteeing that Protected Health Information (PHI) remains confidential and compliant with healthcare regulations.

2. Is my data ever used to train AI models on Okara?No. Okara maintains a zero data training policy. Your patient data, clinical notes, and medical conversations are never used for AI training or accessed by third parties, ensuring full patient confidentiality.

3. Who can benefit from using Okara in clinical practice?General practitioners, specialists, surgeons, and mental health professionals can benefit from Okara’s secure platform. The tools are designed for diverse workflows including patient documentation, literature review, treatment planning, and collaborative care, all while safeguarding patient privacy.

4. How quickly can a doctor start using Okara, and what technical setup is required?Doctors can get started with Okara in under a minute, no credit card or complex setup required. The platform is accessible via web browser and doesn’t require IT support or installation, making it practical for busy healthcare professionals.

5. Is Okara suitable for international healthcare professionals concerned about data security?Absolutely. Okara meets stringent global privacy standards, ensuring compliance not only with HIPAA in the US but also with GDPR and other international regulations, making it a trusted AI solution for doctors worldwide.

6. What AI tools do doctors use?Doctors use a range of AI tools such as Okara for secure clinical chat and documentation, Aidoc for diagnostic imaging analysis, PathAI for pathology support, Tempus for personalized oncology treatment, and platforms like Keragon for workflow automation. These solutions help with diagnostics, research, note generation, and administrative efficiency.

7. What are the 4 types of AI tools?The four main types of AI tools in healthcare are: diagnostic AI (analyzing images or labs), administrative AI (automating schedules and paperwork), clinical decision support systems, and patient engagement tools (like chatbots for answering questions or scheduling). Each addresses different aspects of the healthcare workflow.

8. Which AI tool is best for medical research?The best AI tool for medical research depends on the specific needs. Okara is ideal for professionals needing a secure platform to analyze research papers, review case studies, and interact with multiple AI models using uploaded documents. Other tools like IBM Watson Health and Tempus are also used for deep data analysis and discovery in medical research.