Use Cases

AI converts clinical topics into fundable research ideas with methods, gaps, and real-world data.

AI helps clinicians create guideline-based, patient-specific diagnostic and treatment plans.

AI assistant improves ICD-10 coding accuracy, reduces denials, and streamlines documentation.

AI drafts urgent, clinician-reviewed prior-authorizations to speed approvals and reduce costs.

Real-time AI retrieves PubMed and guideline evidence, boosting accuracy and speed of decisions

AI mines patient texts, forums and records to flag adverse drug reactions faster.

AI assistant automates triage and referrals, reducing wait times, prioritizing care, cutting costs.

AI auto-drafts discharge summaries to save clinician time, improve accuracy and patient safety.

AI automates literature search and summaries, accelerating evidence-based clinical care.

AI translates medical jargon into clear patient messages to boost understanding and adherence.

AI to optimize trial protocols: better randomization, sample sizes, error checks, faster trials.

AI drafts evidence-based, patient-specific clinical plans from EHRs, saving clinicians hours.

AI auto-summarizes EHRs in Latin America, saves 2-3 hrs/day and improves diagnosis.

AI aids clinicians with real-time differential diagnosis to reduce errors, save time, and cut costs.