Best AI for Cardiology: Cited Answers on the Heart

Which AI tools answer cardiology questions?

This guide compares the AI tools that cardiologists, fellows, residents, cardiac nurses and students weigh for heart questions, and each one does a different job. AskMed is an AI medical reference that answers questions on heart failure, arrhythmia, coronary disease and hypertension from journals, guidelines and drug labels, with a link after every claim, for anyone in medicine in any country. OpenEvidence is a clinical AI search engine for verified healthcare professionals; its App Store listing says an NPI is required and names a content agreement with the American College of Cardiology. UpToDate Expert AI is Wolters Kluwer's AI companion to UpToDate and needs an UpToDate subscription with Expert AI enabled. ESC Chat is the European Society of Cardiology's chatbot and answers from ESC guidelines only. ChatGPT is OpenAI's general chatbot. AI scribes that write clinic letters are a different category and are left out. The table shows what each tool is, where its answers come from and who can use it.

OpenEvidence

OpenEvidence describes itself as a clinical decision support tool and medical search engine. Its US App Store listing names NEJM, JAMA and its 11 specialty journals, NCCN, Nature, the Cochrane Library and Wiley as official partners, and lists content agreements with medical societies, among them the American College of Cardiology. The listing marks an NPI as required, says users must verify their healthcare professional status, and says the app contains advertising. OpenEvidence's Terms of Use say the service is not available in the European Union, the United Kingdom or the European Economic Area, so cardiology teams there need another tool. AskMed vs OpenEvidence compares the two in detail.

UpToDate Expert AI

UpToDate Expert AI is Wolters Kluwer's AI-powered companion to the UpToDate clinical reference. Its App Store listing says answers are grounded in UpToDate content and linked to supporting sources, and that access needs an UpToDate subscription with Expert AI enabled, through an enterprise account or a personal subscription. It suits clinicians whose hospital already uses UpToDate. AskMed vs UpToDate Expert AI compares the two side by side.

ESC Chat

ESC Chat is the European Society of Cardiology's AI chatbot. Its App Store listing says answers are based exclusively on current ESC Clinical Practice Guidelines, with citations and reference links to the full texts, and that it is intended for medical professionals. The ESC's page calls it a CE-marked Class I medical device, asks you to sign in, and says it understands questions in several languages but answers in English only. The ESC says Bristol Myers Squibb and Novartis fund it independently and had no influence on its content. Because ESC Chat answers only from ESC guidelines, questions about ACC/AHA guidance or trials outside the guidelines need another tool.

ChatGPT

ChatGPT is OpenAI's general AI chatbot, on the web, iPhone and Android. It helps to talk a mechanism through or draft a patient leaflet, but it is not limited to medical sources, so check any clinical claim against a guideline first. OpenAI also runs ChatGPT for Clinicians, which its help center opens to verified US clinicians with an NPI and a license check. Is ChatGPT accurate for medical questions? covers what studies found.

Guideline apps without AI

Many cardiology clinicians keep a society guideline app next to their AI tool. The ACC Guideline Clinical App's US App Store listing names 21 ACC guidelines, from atrial fibrillation and heart failure to valvular heart disease, with risk scores and algorithms, as an educational service for licensed health care professionals. The ESC Pocket Guidelines app holds ESC guidelines and documents published from 2023 to 2025, with interactive algorithms. Neither listing describes an AI chat feature: they are for reading the guideline itself, which is also where an AI answer should lead you.

How does AskMed answer a cardiology question?

AskMed answers a cardiology question in four steps, and you can check each one. First, AskMed rewrites the question as a precise medical search query, and for management questions it adds "latest guideline update" so the newest guidance is found. Second, AskMed searches a fixed list of medical sites, never the open web or forums; for the heart, that list includes the American Heart Association's journals, which publish Circulation, the JACC journals, the European Society of Cardiology, NEJM, The Lancet, JAMA, The BMJ, PubMed and the Cochrane Library, plus FDA and DailyMed drug labels. Third, AskMed ranks what it found: guidelines and health agencies first, then systematic reviews and meta-analyses, then reviews and references, then large trials, preferring work from the last 10 years. Fourth, an AI language model writes the answer with a link after every claim, gives the year of each guideline recommendation and says so when sources disagree. If no usable source turns up, AskMed says that instead of answering from memory.

Joint ACC/AHA guidelines appear in both Circulation and JACC: the 2022 AHA/ACC/HFSA heart failure guideline, for example, was published in Circulation and in JACC. ESC guidelines appear in the European Heart Journal and on the ESC website. How AskMed answers lists every source.

Can AI answer questions on heart failure, arrhythmia and hypertension?

AI can answer most questions on heart failure, arrhythmia, coronary disease and hypertension well when it works from current guidelines and trials, because these conditions have detailed published guidance on diagnosis and treatment. AskMed explains how a condition is classified, which tests come first, which drug classes the guidelines recommend, what to monitor and which side effects matter, with a source after each point. It never gives doses, titration schedules or how often to take a drug, so the amounts come from the current label and the treating clinician. US and European guidance does not always agree, for example on blood pressure definitions and targets, so AskMed names the society and the year behind each recommendation and says what changed when guidance was updated. For evidence questions such as "Do SGLT2 inhibitors help in heart failure?", Research Mode finds studies, ranks study quality and reads the most relevant paper in full before it writes the answer.

• Heart failure. Classification by ejection fraction, the recommended drug classes, monitoring of kidney function and potassium, and when devices are considered.
• Atrial fibrillation. Stroke and bleeding risk, rate versus rhythm control and the choice of anticoagulant, with the CHA₂DS₂-VASc and HAS-BLED calculators on getaskmed.com.
• Chest pain and coronary disease. Risk stratification, the first tests and when to refer, with the HEART score calculator for emergency department chest pain.
• Hypertension. Definitions, targets and first-line drug classes by society and year, without doses.
• Valve disease. Severity grading, follow-up and when intervention is considered, each claim linked to its source.

Can AI read an ECG?

AskMed cannot read an ECG tracing. AskMed reads attached images for their printed text only, so a photo of a 12-lead ECG gives AskMed the words and numbers printed on it, such as the machine's measured intervals or its printed statement, but not the waveform itself. The useful way to ask AskMed about an ECG is to describe it in words: rate, rhythm, axis, PR, QRS and QT intervals, ST-segment and T-wave changes and the leads involved, together with the clinical picture. AskMed then gives a cited differential and the next step for each cause, from the guidelines and reviews behind them. For the corrected QT, the QTc calculator on getaskmed.com shows Bazett, Fridericia, Framingham and Hodges at once, built from the original papers. Software that interprets ECG waveforms is a separate category of tool and is not covered here, and any tracing that worries you needs a clinician to read it.

• Describe, then ask. "Narrow-complex tachycardia, regular, rate about 180: differential and first steps?"
• Add the patient. Age, symptoms, haemodynamic state, known heart disease and current medicines.
• Attach the report, not the picture. A discharge letter or echo report as a PDF gives AskMed text it can use; attachments explains what is read.

What should cardiology fellows, nurses and students look for in an AI?

Cardiology fellows, residents, cardiac nurses and students need an AI tool whose answers can be checked in seconds and that shows whose guidance it is quoting. Four checks matter. First, citations: each claim should link to the guideline, trial or drug label behind it, not to a reading list at the end. Second, guidance from both sides of the Atlantic: the tool should name ACC/AHA or ESC, give the year, and say when a recommendation has changed. Third, sign-up: OpenEvidence's App Store listing says an NPI is required, its Terms exclude the UK, EU and EEA, and UpToDate Expert AI needs an UpToDate subscription with Expert AI enabled. Fourth, advertising: OpenEvidence's listing says the app contains ads, while AskMed carries no pharma advertising or sponsorship. AskMed meets all four for anyone in medicine: a link after every claim, the year of every guideline recommendation, and no NPI or license needed to sign up, on iPhone, iPad, Android and the web.

• Fellows and residents. Research Mode for journal club and for "why did this guideline change?" questions on rounds.
• Cardiac nurses. What to monitor on a heart failure or rhythm drug, and the side effects to report, with sources.
• Students. Paste an exam-style question with its options: the first sentence names the correct option and the answer explains why each other option is wrong.
• Pharmacists and researchers. Interactions between named cardiac drugs without doses, and where the trial evidence agrees or conflicts.

What are the limits of AI for cardiology?

The main limit of AI for cardiology is that an answer can only be as good as its sources and the question it was given, and heart care moves fast, with new trials and guideline updates every year. AskMed searches a fixed list of medical sites, so evidence published only elsewhere may not appear, and every AskMed answer is written by an AI language model that can misread a source or leave something out; no person reviews it before you see it. Open the citation behind any sentence you act on and check that it covers the same patients, since a trial in chronic heart failure does not answer a question about acute decompensation. ACC/AHA and ESC guidance can differ, so follow the society that applies where you practise. AskMed is for education and reference by healthcare professionals and students, not for emergencies or for patients' self-diagnosis, and it gives no doses: take those from the current label or your local formulary.

• Check the source. Every AskMed claim has its own link, so you check one sentence against one page.
• Check the year. A current guideline outweighs an older review, and AskMed gives the year of each recommendation.
• Report what looks wrong. Tap the thumbs down under an AskMed answer and pick a reason, such as Inaccurate or Sources don't match.

Best AI apps for doctors compares tools for clinical questions in general, and best AI for medical literature search covers tools for finding papers.