Top 35 Best AI Apps for Doctors in 2025 , The medical field is constantly evolving, driven by advancements in technology that promise to improve patient care, streamline workflows, and ultimately, save lives.
At the forefront of this innovation is Artificial Intelligence (AI), rapidly transforming how doctors diagnose, treat, and manage patient health. From AI-powered diagnostic tools to virtual assistants that handle administrative tasks, the potential of AI in medicine is immense.
This article delves into the fascinating world of AI applications for doctors, exploring the most promising tools currently available, examining their impact on different specialties, and considering the ethical implications of integrating these technologies into everyday practice.
List Of Top 35 Best AI Apps for Doctors in 2025:
Join us as we explore how AI is empowering doctors to practice medicine more effectively, efficiently, and with greater precision.
Article Categories
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Clinical Documentation: Tools using AI to automate medical note-taking, transcription, and EHR integration.
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Diagnostic Support: Apps leveraging AI for disease detection, differential diagnosis, and imaging analysis.
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Patient Engagement & Monitoring: Platforms enhancing patient communication, remote monitoring, and self-care.
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Medical Research & Education: Tools aiding doctors in research, literature review, and medical training.
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Administrative Efficiency: Apps streamlining scheduling, billing, and workflow management.
Clinical Documentation
1. Freed AI
First: First AI scribe to learn clinician note style instantly.
Description: Transcribes patient visits in real-time, generating EHR-ready notes tailored to the doctorβs format.
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Founders: Erez Druk, Guy Tsaban
Price: $99/month per clinician
Best For: Clinicians seeking fast, personalized documentation.
Devices Available: Web, iOS, Android
Year Founded: 2022
Trial Period: 10 free visits
Number of Users: ~50,000 (estimated, 2025)
Key Considerations: Easy setup but requires EHR integration for full efficiency.
2. DeepScribe
First: First ambient AI scribe with billing code support.
Description: Uses ambient listening to create clinical notes, integrating with EHRs and suggesting ICD-10 codes.
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Founders: Akilesh Bapu, Matthew Ko
Price: Custom pricing (contact sales)
Best For: Specialists needing accurate billing notes.
Devices Available: Web, iOS, Android
Year Founded: 2017
Trial Period: None
Number of Users: ~100,000 (estimated, 2025)
Key Considerations: High accuracy but custom pricing opaque.
3. Abridge
First: First AI scribe with explainable note sourcing.
Description: Records visits, drafts notes, and links note content to transcript sources for verification.
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Founders: Shiv Rao, Sumi Das
Price: Custom pricing (enterprise-focused)
Best For: Physicians prioritizing note transparency.
Devices Available: Web, iOS, Android
Year Founded: 2018
Trial Period: None
Number of Users: ~200,000 (estimated, 2025)
Key Considerations: Saves ~85,000 hours annually for large systems but costly.
4. Augmedix
First: First AI scribe with human-AI hybrid documentation.
Description: Combines AI note drafting with human review, offering products like Augmedix Go for emergency departments.
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Founders: Ian Shakil
Price: Custom pricing (enterprise-focused)
Best For: Hospitals needing high-quality notes.
Devices Available: Web, iOS, Android
Year Founded: 2012
Trial Period: None
Number of Users: ~150,000 (estimated, 2025)
Key Considerations: Robust but expensive for small practices.
5. Tali AI
First: First AI scribe with cross-device note editing.
Description: Captures conversations, generates notes, and allows natural language edits across web, mobile, and EHR overlays.
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Founders: Not publicly disclosed
Price: $50/month per user
Best For: Mobile clinicians needing flexibility.
Devices Available: Web, iOS, Android, Chrome
Year Founded: 2020
Trial Period: 7-day free trial
Number of Users: ~30,000 (estimated, 2025)
Key Considerations: Versatile but requires stable internet.
6. Lindy
First: First AI scribe with smart task suggestions.
Description: Transcribes visits, generates notes, and suggests follow-up tasks like referrals or scheduling.
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Founders: Flo Crivello
Price: Custom pricing
Best For: Busy clinicians managing workflows.
Devices Available: Web, iOS, Android
Year Founded: 2023
Trial Period: None
Number of Users: ~20,000 (estimated, 2025)
Key Considerations: Task automation strong but note editing needed.
7. MarianaAI
First: First AI scribe with custom note templates.
Description: Supports BIRP, DAP, and custom templates for note-taking, with 24/7 support and EHR integration.
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Founders: Not publicly disclosed
Price: Custom pricing
Best For: Clinicians needing specialized templates.
Devices Available: Web, iOS, Android
Year Founded: 2021
Trial Period: None
Number of Users: ~25,000 (estimated, 2025)
Key Considerations: Flexible but setup complex.
Diagnostic Support
8. Merative
First: First AI platform for large-scale clinical analytics.
Description: Analyzes patient data for diagnostics, treatment planning, and monitoring, using predictive analytics.
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Founders: Not applicable (IBM Watson Health spinoff)
Price: Custom pricing (enterprise-focused)
Best For: Hospitals analyzing big data.
Devices Available: Web
Year Founded: 2022 (as Merative)
Trial Period: None
Number of Users: ~500,000 (estimated, 2025)
Key Considerations: Powerful but not for small practices.
9. Ada Health
First: First AI chatbot for patient self-diagnosis.
Description: Assists doctors by pre-screening patient symptoms, generating assessments for review.
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Founders: Claire Novorol, Martin Hirsch, Daniel Nathrath
Price: Custom pricing (enterprise); free for patients
Best For: Primary care triage.
Devices Available: Web, iOS, Android
Year Founded: 2011
Trial Period: None
Number of Users: ~11 million (2023 estimate)
Key Considerations: Patient-facing; needs clinician oversight.
10. Viz.ai
First: First AI tool for stroke detection in imaging.
Description: Uses AI to analyze CT scans for stroke, prioritizing urgent cases and alerting specialists.
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Founders: Chris Mansi, David Golan
Price: Custom pricing (enterprise-focused)
Best For: Radiologists and neurologists.
Devices Available: Web, iOS, Android
Year Founded: 2016
Trial Period: None
Number of Users: ~100,000 (estimated, 2025)
Key Considerations: Life-saving but hospital-only.
11. PathAI
First: First AI platform for pathology image analysis.
Description: Analyzes pathology slides for cancer detection, improving diagnostic accuracy.
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Founders: Andrew Beck, Aditya Khosla
Price: Custom pricing (enterprise-focused)
Best For: Pathologists.
Devices Available: Web
Year Founded: 2016
Trial Period: None
Number of Users: ~50,000 (estimated, 2025)
Key Considerations: Specialized; high cost.
12. Aidoc
First: First AI for real-time radiology alerts.
Description: Detects abnormalities in medical imaging, notifying radiologists instantly.
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Founders: Elad Walach, Michael Braginsky, Guy Reiner
Price: Custom pricing (enterprise-focused)
Best For: Radiologists in high-volume settings.
Devices Available: Web
Year Founded: 2016
Trial Period: None
Number of Users: ~75,000 (estimated, 2025)
Key Considerations: Enhances speed but requires integration.
13. Qure.ai
First: First AI for chest X-ray interpretation.
Description: Analyzes chest X-rays for conditions like pneumonia, supporting radiologists in diagnostics.
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Founders: Prashant Warier, Pooja Rao
Price: Custom pricing (enterprise-focused)
Best For: Radiologists in resource-limited settings.
Devices Available: Web
Year Founded: 2016
Trial Period: None
Number of Users: ~60,000 (estimated, 2025)
Key Considerations: Global reach but hospital-focused.
14. Butterfly Network
First: First AI-powered portable ultrasound.
Description: Uses AI to guide ultrasound imaging, aiding point-of-care diagnostics.
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Founders: Jonathan Rothberg
Price: $2,999 (device) + $420/year subscription
Best For: Emergency and primary care physicians.
Devices Available: iOS, Android
Year Founded: 2011
Trial Period: None
Number of Users: ~100,000 (2023 estimate)
Key Considerations: Device cost high but portable.
Patient Engagement & Monitoring
15. Healthily
First: First AI app for personalized health tracking.
Description: Offers AI-driven symptom tracking and recommendations, aiding doctors in patient monitoring.
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Founders: Not publicly disclosed
Price: Free for patients; enterprise pricing custom
Best For: Primary care patient follow-ups.
Devices Available: Web, iOS, Android
Year Founded: 2015
Trial Period: None
Number of Users: ~5 million (2023 estimate)
Key Considerations: Patient-facing; limited clinician tools.
16. Woebot Health
First: First AI chatbot for mental health support.
Description: Uses CBT-based AI to support patients with mental health, reducing clinician workload.
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Founders: Alison Darcy
Price: Custom pricing (enterprise-focused)
Best For: Psychiatrists and therapists.
Devices Available: Web, iOS, Android
Year Founded: 2017
Trial Period: None
Number of Users: ~1 million (2023 estimate)
Key Considerations: Not FDA-approved; partner-only access.
17. Biofourmis
First: First AI for remote cardiac monitoring.
Description: Analyzes wearable data for heart conditions, alerting doctors to anomalies.
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Founders: Kuldeep Singh Rajput
Price: Custom pricing (enterprise-focused)
Best For: Cardiologists.
Devices Available: Web, iOS, Android
Year Founded: 2015
Trial Period: None
Number of Users: ~50,000 (estimated, 2025)
Key Considerations: Requires wearables; hospital-focused.
18. MyPlate
First: First AI app for nutritional tracking.
Description: Tracks patient diet and exercise, providing insights for doctors managing chronic conditions.
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Founders: Not publicly disclosed
Price: Free; Premium $9.99/month
Best For: Endocrinologists and dietitians.
Devices Available: Web, iOS, Android
Year Founded: 2010
Trial Period: 7-day free trial
Number of Users: ~10 million (2023 estimate)
Key Considerations: Patient-driven; limited clinician integration.
19. K Health
First: First AI app for virtual primary care.
Description: Uses AI to assess symptoms and connect patients with doctors, reducing in-person visits.
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Founders: Allon Bloch, Israel Roth
Price: $29/month for patients; enterprise custom
Best For: Primary care physicians.
Devices Available: Web, iOS, Android
Year Founded: 2016
Trial Period: None
Number of Users: ~7 million (2023 estimate)
Key Considerations: Telehealth-focused; subscription-based.
20. Noom
First: First AI app for behavioral health coaching.
Description: Uses AI to guide patients on weight loss and lifestyle changes, supporting doctor recommendations.
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Founders: Saeju Jeong, Artem Petakov
Price: $199/year for patients
Best For: Physicians managing obesity.
Devices Available: Web, iOS, Android
Year Founded: 2008
Trial Period: 14-day free trial
Number of Users: ~50 million (2023 estimate)
Key Considerations: Patient-focused; high cost for users.
Medical Research & Education
21. Consensus
First: First AI search engine for medical research.
Description: Extracts insights from 200M+ papers, answering clinical questions with study summaries.
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Founders: Eric Olson, Christian Salem
Price: Free; Pro $8.99/month
Best For: Researchers and evidence-based clinicians.
Devices Available: Web
Year Founded: 2020
Trial Period: None
Number of Users: ~2 million (2023 estimate)
Key Considerations: Time-saving but web-only.
22. Writingmate.ai
First: First AI chatbot for medical students and doctors.
Description: Summarizes articles, generates practice questions, and answers medical queries.
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Founders: Not publicly disclosed
Price: Free; Premium $9.99/month
Best For: Medical students and educators.
Devices Available: Web, Chrome
Year Founded: 2022
Trial Period: None
Number of Users: ~500,000 (estimated, 2025)
Key Considerations: Education-focused; limited clinical use.
23. Scite
First: First AI tool for citation analysis.
Description: Analyzes citation patterns to find relevant studies, aiding research and publication.
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Founders: Josh Nicholson, Sean Rife
Price: $20/month
Best For: Academic physicians.
Devices Available: Web
Year Founded: 2018
Trial Period: Limited free trial
Number of Users: ~300,000 (estimated, 2025)
Key Considerations: Research-focused; subscription-based.
24. PubMed AI
First: First AI-enhanced PubMed search tool.
Description: Uses AI to refine PubMed searches, summarizing articles and suggesting related studies.
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Founders: Not applicable (NIH)
Price: Free
Best For: Researchers accessing PubMed.
Devices Available: Web
Year Founded: 1996 (PubMed); AI features 2023
Trial Period: None
Number of Users: ~10 million (estimated, 2025)
Key Considerations: Free but limited AI depth.
25. SketchyMedical
First: First AI-enhanced visual medical learning tool.
Description: Uses AI to create visual stories for medical concepts, aiding education.
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Founders: Saud Siddiqui, Andrew Berg
Price: $299/year
Best For: Medical students and educators.
Devices Available: Web, iOS, Android
Year Founded: 2013
Trial Period: 7-day free trial
Number of Users: ~1 million (2023 estimate)
Key Considerations: High cost; student-focused.
26. Medscape
First: First AI-powered medical news platform.
Description: Uses AI to curate news, CME, and clinical tools for doctors.
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Founders: Not publicly disclosed (WebMD)
Price: Free
Best For: Clinicians staying updated.
Devices Available: Web, iOS, Android
Year Founded: 1995
Trial Period: None
Number of Users: ~5 million (2023 estimate)
Key Considerations: Broad but not research-deep.
27. Anki
First: First AI-enhanced flashcard app for doctors.
Description: Uses AI and spaced repetition to create medical flashcards for learning.
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Founders: Damien Elmes
Price: Free; iOS app $24.99
Best For: Medical students memorizing facts.
Devices Available: Web, iOS, Android, Windows, macOS
Year Founded: 2006
Trial Period: None
Number of Users: ~10 million (2023 estimate)
Key Considerations: Manual setup; powerful for memorization.
Administrative Efficiency
28. Doximity GPT
First: First HIPAA-compliant AI writing assistant.
Description: Uses AI to summarize notes and draft communications, integrated with physician networks.
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Founders: Jeff Tang, Nate Gross, Shari Buck
Price: Free with Doximity; enterprise custom
Best For: Physicians managing communications.
Devices Available: Web, iOS, Android
Year Founded: 2010
Trial Period: None
Number of Users: ~2 million (2023 estimate)
Key Considerations: HIPAA-compliant but limited AI scope.
29. Moxi
First: First AI-powered healthcare robot.
Description: Automates tasks like delivering supplies, freeing doctors for patient care.
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Founders: Andrea Thomaz, Vivian Chu
Price: Custom pricing (enterprise-focused)
Best For: Hospital staff reducing manual tasks.
Devices Available: Physical robot
Year Founded: 2016
Trial Period: None
Number of Users: ~10,000 (estimated, 2025)
Key Considerations: Innovative but high cost.
30. Regard
First: First AI platform for automated clinical insights.
Description: Analyzes EHR data to suggest diagnoses and treatments, reducing administrative burden.
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Founders: Eli Ben-Joseph, Nate Wilson
Price: Custom pricing (enterprise-focused)
Best For: Hospitals improving workflows.
Devices Available: Web
Year Founded: 2019
Trial Period: None
Number of Users: ~30,000 (estimated, 2025)
Key Considerations: Reduces burnout but integration-heavy.
31. Olive AI
First: First AI for healthcare automation.
Description: Automates billing, scheduling, and claims processing, improving efficiency.
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Founders: Sean Lane
Price: Custom pricing (enterprise-focused)
Best For: Hospital administrators.
Devices Available: Web
Year Founded: 2018
Trial Period: None
Number of Users: ~50,000 (estimated, 2025)
Key Considerations: Broad automation but complex setup.
32. Hiver
First: First AI for medical inbox management.
Description: Uses AI to summarize emails and prioritize tasks for clinical teams.
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Founders: Niraj Ranjan Rout, Nitesh Nandy
Price: $15/user/month
Best For: Clinicians managing emails.
Devices Available: Web, Gmail
Year Founded: 2011
Trial Period: 7-day free trial
Number of Users: ~100,000 (2023 estimate)
Key Considerations: Gmail-focused; limited clinical use.
33. Nabla
First: First AI scribe with multilingual support.
Description: Transcribes visits in multiple languages, generating EHR-ready notes.
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Founders: Alexandre Lebrun, Delphine Groll, Martin Raison
Price: $119/month per clinician
Best For: Multilingual practices.
Devices Available: Web, iOS, Android
Year Founded: 2018
Trial Period: 30-day free trial
Number of Users: ~40,000 (estimated, 2025)
Key Considerations: Language support strong but editing needed.
34. Suki AI
First: First voice-activated AI scribe.
Description: Uses voice commands to generate notes and integrate with EHRs, reducing typing.
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Founders: Punit Soni
Price: Custom pricing
Best For: Physicians preferring voice input.
Devices Available: Web, iOS, Android
Year Founded: 2017
Trial Period: None
Number of Users: ~60,000 (estimated, 2025)
Key Considerations: Voice-driven but accent sensitivity varies.
35. Corti
First: First AI for real-time consultation analysis.
Description: Analyzes telehealth calls, suggesting diagnoses and documentation in real-time.
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Founders: Andreas Cleve, Lars MaalΓΈe
Price: Custom pricing (enterprise-focused)
Best For: Telehealth providers.
Devices Available: Web
Year Founded: 2016
Trial Period: None
Number of Users: ~25,000 (estimated, 2025)
Key Considerations: Telehealth-focused; integration required.
Article Key Considerations
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Accuracy: AI tools like Abridge and DeepScribe offer high note accuracy but require clinician review to avoid βhallucinationsβ (e.g., incorrect diagnoses).
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EHR Integration: Apps like Freed and Regard excel with EHR compatibility, but setup complexity varies.
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Cost: Free or low-cost tools (e.g., Consensus, Medscape) suit solo practitioners; enterprise solutions (e.g., Merative) are costlier but scalable.
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Privacy: Ensure HIPAA compliance (e.g., Doximity GPT, Freed) to protect patient data.
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Ease of Use: Tools like Tali and Lindy are intuitive; others (e.g., Viz.ai) require training.
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Specialty Fit: Apps like PathAI (pathology) or Viz.ai (radiology) are niche; generalists prefer Ada or K Health.
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Patient Impact: Patient-facing apps (e.g., Noom, Healthily) reduce clinician workload but need oversight.
Responsible Use Note
AI apps for doctors enhance efficiency and care but require responsible use. Always verify AI-generated notes, diagnoses, or recommendations, as errors or βhallucinationsβ can lead to patient harm (e.g., misdiagnosed conditions). Ensure HIPAA compliance to safeguard patient data, avoiding non-secure tools like generic ChatGPT. Use AI as a supplement, not a replacement, for clinical judgment, maintaining human oversight in diagnostics and treatment. For patient-facing apps, educate patients on AI limitations to prevent over-reliance. Adhere to ethical standards, ensuring transparency with patients about AI use. Regularly update AI tools to maintain accuracy and comply with medical regulations, fostering trust and safety in healthcare delivery.
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