01 · Pre-diagnosis
Advanced AI clinical pre-diagnosis
Symptoms, signs, blood work, imaging and exam findings in — a ranked differential with red-flag detection out.
Feed the API symptoms, signs, labs, imaging and exam findings — over 2,000 clinical data points. It returns a ranked differential, surfaces the can't-miss diagnoses, and names the next test, question and specialist. Decision support for licensed clinicians — never a diagnosis.
Hosted on certified, compliant infrastructure
Symptoms, history, vitals, blood and urine work, imaging and physical-exam findings — entered as features the engine can reason over.
Each new feature shifts the likelihoods across a broad disease model — and the engine can show why a candidate is more or less likely.
Emergency, life-threatening and rare conditions are surfaced and flagged the moment they become plausible — like the pulmonary embolism here.
The most informative next test to order, the next question to ask, and the right specialist to triage toward.
Possible diagnoses ordered by likelihood — each a data point, never a verdict.
Emergency, life-threatening and rare conditions surfaced the moment they're plausible.
The most informative next test and the next question — the efficient diagnostic path.
Route patients by acuity and specialty from history, signs and results.
Blood and urine results, imaging and exam findings feed straight into the reasoning.
Triages flu-like and respiratory presentations — COVID-19 coverage since March 2020.
Symptoms, signs, blood work, imaging and exam findings in — a ranked differential with red-flag detection out.
Use it today to triage flu-like and respiratory presentations, fever and more — COVID-19 coverage since 2020.
JSON in, ranked differential out. Open a session, push features as you gather them, analyze — and documentation generates in real time as you build.
Deployable on HIPAA-compliant infrastructure — the security and privacy sensitive healthcare data demands.
Enables synthetic, individual patient-level datasets that reflect real disease prevalence — for AI/ML research — and powers quizzes and medical education. Learn from and test yourself against top AI models at EndlessMedical.Academy.
The same engine powers a consumer-facing symptom checker and a clinician-facing provider app — both built directly on the EndlessMedical API.
Use the API inside clinical trials to capture structured findings and model differentials reproducibly — compatible with US clinical documentation standards.
Open a session, push features as you gather them, analyze. Structured documentation generates as you go — compatible with US clinical documentation standards. JSON in, ranked differential out.
# 1 · open a reasoning session POST /v1/session → { "id": "0x9F·A2" } # 2 · push features as you gather them POST /v1/feature { "Temp": 38.9, "Cough": true, "PleuriticPain": true, "SpO2": 93 } # 3 · analyze — ranked differential + flags POST /v1/analyze → { "differential": [ { "dx": "Community-acquired pneumonia", "p": 0.71 }, { "dx": "Pulmonary embolism", "p": 0.09, "flag": "life-threatening" } ], "nextTests": ["Chest X-ray", "D-dimer"], "triage": "Pulmonology · ED if red-flag" }
EndlessMedical is a medical-technology company. Alongside the AI engine we develop devices for the patients who need the most support — those on mechanical ventilation and renal replacement therapy.
A ventilator system with multiple independent airflow-control lumens. Public technical information is available on M.V 2.0 and 2.5.
Patented · US 2022/0072250 A1A new approach to non-invasive blood-pressure monitoring, under active development.
Patent pendingA renal-replacement-therapy device for patients requiring dialysis, under active development.
Patent pendingIn development. These devices are in active research and development. Features described here are forward-looking and currently hypothetical — they require further research and validation, and are not available for clinical use.
A board-certified Internist, Nephrologist and Hypertension Specialist — a graduate of the GlomCon Glomerular Diseases Fellowship and the Doximity Digital Health Fellowship — bringing the knowledge and experience of a practicing physician and researcher, fully aware of the challenges in today's medical landscape: medical errors, communication gaps, resource overutilization, and the concerns of both physicians and patients.
In periodic collaboration with seasoned IT professional Konrad Rotuski, the mission is to positively transform the lives of patients — research eliminating diagnostic errors, minimizing missed diagnoses, and optimizing the utilization of resources for patients and healthcare entities, while improving AI-supported medical education and patient–provider communication.
If you have any questions, write to the founder and main AI/ML researcher Lukasz Kiljanek MD — every message is read.
Build EndlessMedical into your product, workflow or research. Decision support for licensed clinicians — always pre-diagnostic, never a diagnosis.
Questions? Use the contact form.
