Research map: Development of an LLM Pipeline Exceeding Physician-documented Cardiovascular Risk Scores under routine clinical conditions
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2020 ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS)
· Gerhard Hindricks · 2020 · 10158 citations · Cited by this paper
Interpretable machine learning models for predicting perioperative myocardial injury in non-cardiac surgery
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· Gregory Y.H. Lip · 2009 · 6814 citations · Cited by this paper
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· Alec Vahanian · 2021 · 5695 citations · Cited by this paper
Large language model–based simulated patient training for heart failure palliative care communication: a pilot study
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· Samer A.M. Nashef · 2012 · 2983 citations · Cited by this paper
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· Nelson F. Liu · 2024 · 1333 citations · Cited by this paper
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· Paul Hager · 2024 · 717 citations · Cited by this paper
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· Suhana Bedi · 2024 · 619 citations · Cited by this paper
Retinal photographs to predict life’s essential 8 for cardiovascular risk stratification: a novel deep-learning-based tool
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· Wan Zhang · 2025 · 133 citations · Cited by this paper
Comparative evaluation of AI-assisted literature search tools for identifying clinically meaningful evidence in cardiology
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· Shayne Longpre · 2021 · 94 citations · Cited by this paper
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· Sully F. Chen · 2026 · 63 citations · Cited by this paper
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· Monica Agrawal · 2025 · 49 citations · Cited by this paper
Large language model agents can use tools to perform clinical calculations
· Alex J. Goodell · 2025 · 46 citations · Cited by this paper
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· Michael Charles Sachs · 2020 · 38 citations · Cited by this paper
The interpretation of CHA2DS2-VASc score components in clinical practice: a joint survey by the European Heart Rhythm Association (EHRA) Scientific Initiatives Committee, the EHRA Young Electrophysiologists, the Association of Cardiovascular Nursing and Allied Professionals, and the European Society of Cardiology Council on Stroke
· Juqian Zhang · 2020 · 34 citations · Cited by this paper
Risk Analysis in the Age of Big Data: The Promises and Pitfalls
· Roshanak Nateghi · 2021 · 32 citations · Cited by this paper
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps
· Yung-Sung Chuang · 2024 · 25 citations · Cited by this paper
AgentMD: Empowering language agents for risk prediction with large-scale clinical tool learning
· Qiao Jin · 2025 · 19 citations · Cited by this paper
MedCalc-Bench: Evaluating Large Language Models for Medical Calculations
· Nikhil Khandekar · 2024 · 12 citations · Cited by this paper
Assessing the Limitations of Large Language Models in Clinical Practice Guideline–Concordant Treatment Decision-Making on Real-World Data: Retrospective Study
· Tobias Roeschl · 2025 · 8 citations · Cited by this paper
Perceptions and knowledge gaps on CHA 2 DS 2 -VASc score components: a joint survey of Chinese clinicians and clinical pharmacists
· Chi Zhang · 2021 · 7 citations · Cited by this paper
MeNTi: Bridging Medical Calculator and LLM Agent with Nested Tool Calling
· Yu Zhu · 2025 · 6 citations · Cited by this paper
Large Language Models and Mathematical Reasoning Failures
· Johan Boye · 2025 · 2 citations · Cited by this paper
RiskAgent: Synergizing Language Models with Validated Tools for Evidence-Based Risk Prediction
· Fenglin Liu · 2025 · 2 citations · Cited by this paper
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