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Top 10 AI Tools for Doctors

StackScore Tools™ · Updated May 25, 2026How we score →
1

Nabla

Category StackScore™
85
Overall StackScore Tools™ 84

The only AI tool in this list specifically designed for physicians to automate medical documentation during patient encounters.

Category Fit™
98
Operational40%
85
Trust25%
89
Market20%
85
Infrastructure15%
72
verified
Why these scores
Category Fit™

Purpose-built AI clinical assistant that generates structured medical notes from doctor-patient conversations with HIPAA compliance, but limited to documentation rather than clinical decision support.

Operational

Nabla earns a high operational score on the strength of 85,000+ active clinicians, 15+ EHR integrations including Epic Toolbox and athenahealth Marketplace, a free tier plus flat-rate paid plans ($119/mo), and consistent independent praise for accuracy and ease-of-use—with only minor caveats around occasional peak-traffic latency and MSE/A&P sections needing editing.

Trust

Nabla achieves near-top trust scores with SOC 2 Type 2, ISO 27001, HIPAA, GDPR, and NIST certifications all confirmed, an explicit no-audio-storage and no-model-training-on-patient-data policy, a clean public status page, and a $70M Series C in June 2025 signaling strong operational continuity.

Market

Nabla's market position is very strong: $120M total funding (Series C led by HV Capital closed June 2025), named enterprise customers including CVS Health and Children's Hospital LA, Epic Toolbox and athenahealth Marketplace listings, and tier-1 press coverage from STAT News, FierceHealthcare, and Becker's Hospital Review—though G2/Capterra review counts remain modest (~13–15 reviews).

Infrastructure

Nabla has a regionally versioned, documented API (us.api.nabla.com / eu.api.nabla.com) with auth guides, an async note generation endpoint, WebSocket streaming, and a changelog, but scores are dragged down by the absence of publicly documented rate limits, a limited mobile SDK footprint (iOS only confirmed), and no mention of LangChain/MCP orchestration support.

2

Consensus

Category StackScore™
84
Overall StackScore Tools™ 73

Essential research tool for evidence-based medicine that helps doctors quickly find and extract insights from scientific literature.

Category Fit™
85
Operational40%
72
Trust25%
70
Market20%
84
Infrastructure15%
75
Why these scores
Category Fit™

AI search engine for peer-reviewed medical research that extracts evidence-based findings doctors need for clinical decision-making, but not designed exclusively for medical use cases.

Operational

Consensus delivers strongly on its core academic search mission—8M+ researchers, GPT-5 integration via OpenAI Responses API, 220M papers, and praised in multiple independent reviews—but the absence of a dedicated G2 listing for the academic product (G2 returns a different 'Consensus' demo automation tool) triggers a −10 penalty, pulling the otherwise solid 82 raw score to 72.

Trust

Privacy policy updated June 2025, explicit no-data-selling and anonymized query storage confirmed, and zero incidents tracked by IsDown since November 2025 are positives, but no SOC 2 Type II or third-party security certification was found—only self-attested SSL encryption and a help-center security page—capping security certification at 50 and holding trust to 70.

Market

Exceptional market momentum: user base grew from ~400K (August 2024 Series A) to 8–10M researchers by mid-2026, revenue grew 8× in 2025, OpenAI published a featured case study, 170+ university library partnerships are active, and new publisher deals with Sage and ACS were signed in late 2025—all pointing to a breakout vertical AI search player.

Infrastructure

The developer surface is strong and improving rapidly—public API with OpenAPI/llms.txt spec, MCP server for Claude and ChatGPT, changelog updated April 2026, and native AI-framework orchestration—but no official Python/JS SDK was found and explicit rate-limit documentation for non-enterprise tiers is absent, keeping the score at 75 rather than higher.

3

Suki AI

Category StackScore™
83
Overall StackScore Tools™ 79

Voice-first clinical documentation tool designed exclusively for physicians who prefer hands-free dictation during patient visits.

Category Fit™
97
Operational40%
79
Trust25%
79
Market20%
83
Infrastructure15%
74
verified
Why these scores
Category Fit™

AI voice assistant specifically built for doctors to generate clinical notes from patient conversations with medical terminology optimization, though slightly less established than Nabla in structured note output.

Operational

Suki delivers confirmed clinical-note automation with 72–76% documented time savings, deep bidirectional EHR integration with all four major platforms (Epic, Oracle, athenahealth, MEDITECH), and a KLAS 93.2/100 score — but its $299–$399/user/month enterprise-only pricing with no free tier drags down ROI accessibility significantly.

Trust

SOC 2 Type II certified, HIPAA compliant with BAA provided, PHI deidentified before LLM processing, and privacy policy updated May 2025 all support strong trust; a Series D-backed company with $165M raised and active executive hiring adds stability, though no public status page with historical uptime data was found.

Market

Suki leads the ambient AI clinical documentation category with KLAS Best-in-Class 2025 honors, 400+ health system deployments, a $70M Series D at ~$400M valuation in October 2024, and named-enterprise partnership announcements (MedStar, Rush, McLeod Health) driving exceptionally strong market signals.

Infrastructure

The developer.suki.ai portal offers a semantically versioned API with auth documentation, iOS/Android SDKs, and a partner SDK enabling ambient documentation embedding — but orchestration readiness is limited to healthcare-native contexts without general AI framework support (LangChain/LlamaIndex), and no public SLA percentage or historical status-page uptime data was found.

4

Obsidian

Category StackScore™
83
Overall StackScore Tools™ 69

Personal knowledge base for organizing medical knowledge and patient insights, though steep learning curve limits adoption.

Category Fit™
67
Operational40%
71
Trust25%
73
Market20%
63
Infrastructure15%
63
Why these scores
Category Fit™

Knowledge management system that helps doctors organize clinical notes and medical research with powerful linking, but requires significant setup and lacks medical-specific templates.

Operational

Core KB and note-linking utility is exceptional with 4,351 community plugins, AI via Smart Connections and CoPilot plugins, and a genuinely free full-featured tier, but steep documented learning curve and near-zero native third-party integrations (no Zapier/Make/REST API) cap the score at 71.

Trust

Obsidian earns near-perfect privacy marks as a local-first app with explicit no-data-collection and no-AI-training policies, but the absence of third-party security certifications (SOC 2 belongs to a different company) and no public status page limit the trust ceiling to 73.

Market

Strong organic signals—1.5M monthly active users, 100K+ r/ObsidianMD members, ~$25M ARR bootstrapped—but limited verifiable G2/Capterra review counts, no VC funding signal, and no major platform marketplace listing hold the market score to 63.

Infrastructure

The TypeScript plugin API is well-documented with official dev docs and 4,351 shipped community plugins proving developer viability, and GitHub repos were updated as recently as May 2026, but the absence of a REST API, native webhooks, or orchestration framework integration caps infrastructure at 63.

5

Claude

Category StackScore™
82
Overall StackScore Tools™ 75

Versatile AI assistant useful for patient education materials and research summarization, though doctors need specialized clinical tools.

Category Fit™
72
Operational40%
78
Trust25%
74
Market20%
72
Infrastructure15%
65
Why these scores
Category Fit™

General AI assistant excellent at explaining complex medical concepts and drafting patient communications with safety features, but not purpose-built for clinical workflows or documentation.

Operational

Claude delivers strong core task utility with consistent praise for low hallucination, natural writing style, large context window, and Claude Code's project-level understanding, but usage limit complaints on Pro tier and absence of native image generation are persistent, non-blocking friction points.

Trust

Anthropic is a safety-focused AI lab with enterprise HIPAA-readiness, SSO, SCIM, and audit logs available, but Trustpilot reports of April 2026 billing issues, unauthorized charges, and account compromises introduce meaningful trust concerns that offset otherwise solid privacy posture.

Market

Claude shows strong market momentum with Sonnet 5 now free-tier default, active quarterly model releases, Claude Code achieving near-perfect G2 scores, and Anthropic's well-known Tier-1 VC backing, though overall G2 review volume remains modest relative to ChatGPT.

Infrastructure

The API is versioned and well-documented with competitive token pricing, batch API discounts, and Agent SDK credit pools indicating orchestration maturity, but the June 2026 Fable/Mythos export-control suspension and billing architecture changes introduce platform durability concerns.

6

Fathom

Category StackScore™
77
Overall StackScore Tools™ 83

Effective for documenting telehealth appointments with automated summaries, though not designed for clinical workflows.

Category Fit™
74
Operational40%
88
Trust25%
84
Market20%
85
Infrastructure15%
68
verified
Why these scores
Category Fit™

Free AI meeting recorder that summarizes telemedicine calls and automates note-taking for virtual consultations, but lacks medical terminology optimization and clinical structure.

Operational

Fathom dominates its category with 6,684 G2 reviews at 5.0/5, confirmed unlimited free recording, 6,000+ Zapier integrations, native HubSpot/Salesforce/Slack/Asana sync, a public API, 1,443+ G2 mentions praising transcription accuracy, and a Capterra ease-of-use score of 4.97 — the only friction being the free tier's 5 AI summary/month cap.

Trust

SOC 2 Type II plus HIPAA and GDPR compliance are confirmed, AI sub-processors (Anthropic, OpenAI, Google) contractually barred from training on customer data, and a Trust Center is published; the score is modestly trimmed by ambiguous opt-out UX details and only minor status-page transparency relative to the product's scale.

Market

Named to G2's 2026 Best Global Software Top 100, HubSpot's Most Used App of 2025, and Business Insider's 2026 unicorn watchlist, with a $73M valuation backed by a $17M Series A (Sep 2024) and 6,684 G2 reviews reflecting strong adoption velocity across individual and enterprise segments.

Infrastructure

A public API is live at developers.fathom.ai with weekly changelog updates through May 2026 and GitHub activity as recent as Sep 2025, but versioning details, SDK availability (Python/JS), and webhook/streaming documentation are thin, capping the infrastructure ceiling despite healthy development cadence.

7

Elicit

Category StackScore™
76
Overall StackScore Tools™ 63

Academic research tool that helps doctors efficiently review medical studies and clinical trials without medical specialization.

Category Fit™
79
Operational40%
60
Trust25%
76
Market20%
62
Infrastructure15%
52
reliability_declining
Why these scores
Category Fit™

AI research assistant that finds and summarizes academic papers useful for staying current with medical literature, though generalist design means it lacks medical-specific extraction features.

Operational

Elicit delivers strong core academic research utility confirmed across multiple independent reviews (8/10 scores, praised clean UX, citation-linked outputs), with a generous free tier and active product development, but integration depth is limited (Zotero + newly launched API, no Zapier/Make), and the G2 auto-penalty of −10 applies due to fewer than 5 G2 reviews recorded.

Trust

SOC 2 Type II certification confirmed, a public Trust Center at trust.elicit.com, a DPA and GDPR-referenced privacy policy exist, and hallucination reduction is architecturally core (outputs linked to source paper passages), with no known data breaches; minor deductions reflect ambiguity around explicit training-data opt-out language and unconfirmed status-page history depth.

Market

A $22M Series A led by Spark Capital at a $100M valuation (est. early 2025, within 18 months) anchors funding signal, and 2M+ researchers represents substantial real-world adoption, but G2 review volume is critically sparse (1 review), marketplace presence is limited, and ecosystem integrations remain narrow, weighing down adoption and ecosystem sub-scores.

Infrastructure

The API launched March 3 2026 with documented endpoints and a Python examples repo updated February 2026, and the changelog shows near-monthly feature releases through January 2026, but rate limits are undocumented (−8 penalty), no official SDK exists, webhooks/streaming are unconfirmed, and the API is too newly launched to verify versioning stability.

8

Perplexity AI

Category StackScore™
76
Overall StackScore Tools™ 87

Fast medical information lookup with source citations for clinical questions, though not a replacement for medical databases.

Category Fit™
69
Operational40%
87
Trust25%
83
Market20%
90
Infrastructure15%
84
verified
Why these scores
Category Fit™

AI search engine that provides cited medical information useful for quick clinical queries, but lacks specialized medical database access and peer-review filtering that doctors require.

Operational

303 G2 reviews averaging 4.7/5, ease of setup scored 97% and ease of use 95%, with Zapier/Make/Gmail/Slack/Google Drive integrations confirmed and a meaningful free tier — operationally strong across all sub-dimensions with only minor hallucination rates (3.3% benchmark) tempering output reliability.

Trust

SOC 2 Type II confirmed alongside GDPR and PCI DSS, zero data retention policy for Sonar API users explicitly documented, and no training on enterprise data; penalized slightly by 25+ minor outages tracked on status page over ~1 year and consumer-tier training data ambiguity.

Market

Raised $200M at $20B valuation in September 2025 with investors including NVIDIA, SoftBank, and Jeff Bezos; ARR grew to ~$200M by February 2026 with 100M+ MAU and 20,000+ enterprise organizations; tier-1 press coverage from TechCrunch and VentureBeat throughout the period.

Infrastructure

Official Python (perplexity-py) and Node (perplexity-node) SDKs on GitHub with active commits as recently as January 2026 and changelog updated May 2026; LangChain and LlamaIndex integrations confirmed via AI SDK providers; Sonar API is versioned with full auth docs, though full OpenAPI spec availability and SLA documentation have minor gaps.

9

ChatGPT

Category StackScore™
72
Overall StackScore Tools™ 81

Widely accessible AI for general medical writing tasks and patient education, but doctors need specialized clinical tools for actual practice.

Category Fit™
63
Operational40%
82
Trust25%
72
Market20%
91
Infrastructure15%
75
verified
Why these scores
Category Fit™

General-purpose AI useful for drafting patient communications and explaining medical concepts, but not HIPAA-compliant and lacks clinical documentation features doctors need.

Operational

G2 4.7/5 from 2,000+ reviews with 83% five-star ratings and near-zero learning curve confirm strong core utility, but recurring complaints about confident hallucinations in technical/niche domains, context loss across sessions (now mitigated by June 2026 memory update), and topic restrictions pull reliability down from its ceiling.

Trust

Business/Enterprise tiers carry SOC 2 Type II and ISO 27001 with training-exclusion by default, but the free tier's ad launch, ambiguous training data opt-out for non-business users, and Trustpilot's 1.6/5 driven by billing and support failures temper trust materially.

Market

900 million weekly active users, 50 million paying subscribers, 18 consumer-facing updates in two months, and a relentless model cadence (GPT-5.5, GPT-5.6 Sol reaching Plus July 9) make ChatGPT the dominant adoption signal in the AI tool market by a wide margin.

Infrastructure

GPT-5.6 series with API access, cached-input pricing tiers, Codex Remote GA, and Excel/Sheets integrations signal strong developer infrastructure, though evidence on versioned OpenAPI specs, explicit rate-limit documentation, and full webhook/streaming orchestration details is partially inferred rather than directly confirmed.

10

Notion AI

Category StackScore™
68
Overall StackScore Tools™ 80

Versatile tool for practice documentation and team collaboration, though not suitable for actual patient records.

Category Fit™
65
Operational40%
78
Trust25%
80
Market20%
81
Infrastructure15%
81
verified
Why these scores
Category Fit™

Flexible workspace with AI writing features useful for medical practice management and patient resources, but generalist design means no HIPAA compliance or clinical optimization.

Operational

Notion AI scores strongly on integration depth (MCP, Zapier, Make, native API, Workers) and ease of use (G2 4.6/5, 11,857 reviews), but is penalised on ROI accessibility after the May 2025 removal of the standalone $10 AI add-on forced full AI features exclusively onto the Business tier at $20/user/month, and output reliability draws occasional complaints around database autofill inconsistency.

Trust

Notion explicitly confirms customer data is not used to train its models, holds SOC 2 Type II, ISO 27001:2022, and HIPAA certifications, and provides a GDPR DPA — strong pillars — though data is still routed through third-party AI partners (OpenAI, Anthropic) for inference, which introduces minor residual privacy ambiguity.

Market

With 11,857 G2 reviews, 100 million users, $600M ARR, Fortune 500 penetration exceeding 50%, and rapid AI agent product expansion through H1 2026, Notion shows robust adoption velocity and ecosystem signals; the only drag is that its last formal funding round was the 2021 Series D, offset by clear revenue-growth indicators.

Infrastructure

Notion's infrastructure is developer-mature: official JS and Python SDKs, a versioned REST API, a public MCP server updated for token efficiency in May 2026, Workers (serverless runtime in beta), webhooks, and a changelog updated through June 2026 — the only gaps are the absence of a publicly downloadable OpenAPI spec and SLA guarantees limited to Enterprise tiers.

Frequently asked

What is the best AI tool for doctors?

Nabla is our top pick for doctors, with a StackScore™ of 85/100. It leads 10 tools ranked specifically for doctors use cases.

What are the top AI tools for doctors?

The top picks are Nabla, Consensus, Suki AI, Obsidian, Claude — see the full ranked list above, scored by category fit.

How are these doctors tools ranked?

By Category StackScore™ — how well each tool performs specifically for doctors, blending category fit (50%) with operational, trust, market, and infrastructure scores. Independent and evidence-backed.

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