The Attending in Your Pocket

AttendMe leverages evidence-based medicine with advanced advanced algorithmic matching to provide fellowship-level insights from over 1.5 million+ high-impact articles from the world's best medical journals.

1.5M+
High-Impact Articles
from leading journals
<2s
Response Time
instant clinical insights

Advanced algorithmic matching

1.5M+ curated articles

Evidence-based insights

Fellowship-level AI

Your Intelligent Medical Dashboard

Experience a powerful interface designed specifically for medical professionals

AttendMe Dashboard Interface

Dual Research Modes with Medical AI

Switch between rapid clinical insights and deep systematic analysis—both powered by our specialized medical intelligence engine

Specialty-Tuned Algorithm

Our AI algorithmically prioritizes the highest-impact articles from your specialty, ensuring the most relevant evidence surfaces first

Smart Citation Management

Save crucial references with direct journal links to build your personal evidence library for instant future access

Intelligent Query Tracking

Your recent searches and their evidence-based outputs are automatically preserved for seamless clinical workflow

Transforming Healthcare with Evidence-Based AI

AttendMe combines the world's largest medical knowledge base with cutting-edge composite scoring algorithms, delivering accurate clinical insights that healthcare professionals can trust.

1.5 Million+
High-Impact Articles
From NEJM, JAMA, Lancet & more
50+
Ranking Variables
Multi-dimensional relevance scoring
33
Medical Specialties
Fellowship-level expertise
<2 sec
Response Time
Lightning-fast insights
100%
Evidence-Based
Every recommendation cited
HIPAA
Compliant Security
Your data protected always
Revolutionizing clinical decision-making

Users from world-leading medical institutions

Mayo Clinic logo
Cleveland Clinic logo
Johns Hopkins Hospital logo
Massachusetts General Hospital logo
UCLA Medical Center logo
Stanford Health Care logo
Mount Sinai Hospital logo
Northwestern Memorial Hospital logo
UCSF Medical Center logo
Mayo Clinic logo
Cleveland Clinic logo
Johns Hopkins Hospital logo
Massachusetts General Hospital logo
UCLA Medical Center logo
Stanford Health Care logo
Mount Sinai Hospital logo
Northwestern Memorial Hospital logo
UCSF Medical Center logo

The Future of Clinical Decision Support

AttendMe combines evidence-based medicine with cutting-edge AI to deliver clinical insights you can trust. Here's what sets us apart.

Fellowship-Level AI Assistant

Get expert clinical insights powered by advanced AI trained on millions of medical cases.

  • 34 medical specialties covered
  • Fellowship-caliber recommendations
  • Continuous learning from latest research

Advanced Algorithmic Matching

Our proprietary algorithm analyzes multiple quality signals to surface the most relevant, high-impact research for your query.

  • Multi-dimensional relevance scoring
  • Real-time quality assessment
  • Intelligent result ranking

1.5 Million+ Curated Articles

Access the world's largest collection of high-impact medical literature from leading journals.

  • NEJM, JAMA, Lancet, and more
  • Real-time literature updates
  • Smart citation management

Evidence-Based, Always

Unlike general-purpose AI tools, AttendMe is purpose-built for medicine. Every recommendation is backed by peer-reviewed evidence from the world's most trusted medical journals. Our composite scoring system ensures you get the most accurate, up-to-date clinical guidance available.

Lightning-fast responses
A+ evidence grading
Multi-metric ranking system

What our users are saying

2 weeks ago

"AttendMe has revolutionized how I stay updated with latest research. The specialty-specific responses save me hours of research time."

D

Dr. Sarah Johnson

Cardiologist

1 month ago

"In fast-paced ER situations, having quick access to evidence-based information is invaluable. This tool has become my go-to resource."

D

Dr. Michael Chen

Emergency Medicine

3 weeks ago

"The reference library feature is outstanding. I can quickly save and organize important citations for later review or sharing with colleagues."

D

Dr. Emily Rodriguez

Pediatrician

1 week ago

"The specificity of the AI responses in my specialty is impressive. It feels like having a knowledgeable colleague available 24/7."

D

Dr. James Wilson

Neurologist

2 months ago

"As a resident, this has been an incredible learning tool. It helps me quickly check treatment protocols and find relevant research."

D

Dr. Olivia Thompson

Dermatology Resident

3 weeks ago

"The citation feature ensures I can verify information sources. Critical for evidence-based practice in oncology."

D

Dr. Robert Kim

Oncologist

1 month ago

"I use AttendMe daily for quick reference checks. The interface is intuitive and the responses are clinically relevant."

D

Dr. Priya Patel

Internal Medicine

2 weeks ago

"AttendMe has revolutionized how I stay updated with latest research. The specialty-specific responses save me hours of research time."

D

Dr. Sarah Johnson

Cardiologist

1 month ago

"In fast-paced ER situations, having quick access to evidence-based information is invaluable. This tool has become my go-to resource."

D

Dr. Michael Chen

Emergency Medicine

3 weeks ago

"The reference library feature is outstanding. I can quickly save and organize important citations for later review or sharing with colleagues."

D

Dr. Emily Rodriguez

Pediatrician

1 week ago

"The specificity of the AI responses in my specialty is impressive. It feels like having a knowledgeable colleague available 24/7."

D

Dr. James Wilson

Neurologist

2 months ago

"As a resident, this has been an incredible learning tool. It helps me quickly check treatment protocols and find relevant research."

D

Dr. Olivia Thompson

Dermatology Resident

3 weeks ago

"The citation feature ensures I can verify information sources. Critical for evidence-based practice in oncology."

D

Dr. Robert Kim

Oncologist

1 month ago

"I use AttendMe daily for quick reference checks. The interface is intuitive and the responses are clinically relevant."

D

Dr. Priya Patel

Internal Medicine

Research & Evidence

Peer-reviewed studies demonstrating superior performance of RAG-enhanced medical AI

2025 — Latest Studies

Retrieval augmented generation for 10 large language models and its generalizability in assessing medical fitness

Nature npj Digital Medicine

Ke, Y.H., Jin, L., Elangovan, K. et al.

2025
Clinical Trial
GPT4 LLM-RAG achieved 96.4% accuracy vs. 86.6% human accuracy in surgical fitness assessment
Zero hallucinations detected with more consistent output than human physicians
Tested across 10 LLMs with 3,234 responses in 14 clinical scenarios
Response time under 20 seconds while maintaining superior accuracy

A framework to assess clinical safety and hallucination rates of LLMs for medical text summarisation

Nature npj Digital Medicine

Asgari, E., Montaña-Brown, N., Dubois, M. et al.

2025
Systematic Review
Comprehensive safety framework tested across 18 configurations
Visual RAG outperformed text-only RAG in F1 scores
Clinical error detection accuracy reached 92.7%
Framework validated on 12,999 clinician-annotated sentences

Improving large language model applications in biomedicine with retrieval-augmented generation

Journal of the American Medical Informatics Association

Liu, S., McCoy, A.B., Wright, A.

2025
Meta-Analysis
1.35x performance improvement odds ratio with RAG across 70 studies
Accuracy improved from 93.25% to 99.25% with RAG implementation
GUIDE-RAG framework established for clinical applications
Consistent benefits demonstrated across medical specialties

Evaluating base and retrieval augmented LLMs with document support for evidence based neurology

Nature npj Digital Medicine

Zhang, L., Chen, X., Liu, W. et al.

2025
Clinical Trial
94.8% guideline accuracy achieved with RAG enhancement
91% accuracy on knowledge-based questions
87% success rate in case-based reasoning tasks
Evaluated across 130 neurology guidelines

2024 — Foundational Research

Matching patients to clinical trials with large language models (TrialGPT)

Nature Communications

Lu, Z., Wang, Q., Chen, Y. et al.

2024
RCT
87.3% matching accuracy comparable to expert clinicians
42.6% reduction in patient screening time
90% trial recall rate using only 6% of initial data
Validated on 1,015 patient-criterion pairs

Development and Evaluation of a Retrieval-Augmented LLM Framework for Ophthalmology

JAMA Ophthalmology

Luo, M.J., Pang, J., Bi, S. et al.

2024
Clinical Trial
91% diagnostic accuracy with RAG enhancement
Reduced time to diagnosis from 18 to 7 minutes
88% sensitivity for rare condition detection
Validated across 2,400 clinical scenarios

Retrieval-Augmented Generation for Large Language Models in Healthcare: A Systematic Review

PLOS Digital Health

Xie, Y., Johnson, M., Smith, K. et al.

2024
Systematic Review
18-34% accuracy improvement range across studies
76% reduction in hallucination rates
3x better recall for rare disease conditions
Analysis of 149 peer-reviewed papers

Enhancing LLM Reliability with Dual RAG Based on Latest Diabetes Guidelines

Journal of Personalized Medicine

Park, J.H., Kim, S., Lee, H. et al.

2024
Clinical Trial
97.2% medication recommendation accuracy vs. 71.3% baseline
84% reduction in hallucination occurrences
94% accuracy in HbA1c target recommendations
Tested with 1,200 diabetes patients

Key Performance Metrics Across All Studies

96.4%

Peak Accuracy

0%

Hallucinations

42.6%

Time Reduction

Pricing Plans

Choose the perfect plan for your needs. All plans include access to our core medical AI features.

Choose Your Plan

Student
Perfect for medical students & residents (.edu email required)
$15 USD/month
  • AI-powered medical research companion
  • Instant answers backed by peer-reviewed citations
  • 20 medical queries per day
  • Full access to all medical specialties
  • Personal citation library & management
Most Popular
Pro
For physicians and healthcare professionals
$25 USD/month
  • Unlimited queries - ask anything, anytime
  • Access all 34 medical specialties instantly
  • 8 most relevant citations per query
  • Lightning-fast search across 1.5M+ articles
  • Build your personal medical knowledge library
  • 🚀 Deep Research Mode for complex cases
Annual Pro
Best value for serious medical professionals
$200 USD/year
  • Everything in Pro + exclusive benefits
  • 💰 Save $100/year (4 months FREE)
  • Priority support - get help within 24hrs
  • 🎯 Early access to cutting-edge AI features
  • Personalized annual insights report

Local currency shown at checkout

All plans include a 14-day money-back guarantee.

Need a custom plan for your hospital or institution? Contact us

We Value Your Feedback

Help us improve AttendMe by sharing your experience and suggestions.

Send Us Feedback
We value your input! Please share your thoughts, report bugs, or suggest features to help us improve AttendMe.