Dr. Lex AI Project

Continuous development of primary care doctors as well as the introduction of an artificial intelligence decision support system in their clinical practice that might support patients’ diagnostic and triage processes are those largely accepted potential solutions for mitigating the underlying causes of diagnostic errors by PCPs.

Dr. Lex CDS and Dr. Lex EDU are two integrated projects initiated by Sylex Group intended to focus on this problematic area and offer solutions. Projects consolidate vast medical knowledge from the most trusted and up-to-date evidence-based literature and databases within a single expert system, capable of analyzing incoming health related information on a patient and suggesting possible health risks and actions to the physicians.

For more information please visit https://www.drlex.ai.

SylexWise Smart Guide
SylexWise is an AI supported clinical decision support expert system that analyses the library of clinical practice guidelines (CPGs) stored in a structured data forms and intelligently suggests risks and procedures when and where appropriate.

SylexWise enables:
  • Saving significant time on reading lengthy irrelevant CPG texts
  • Highlights the relevant guidelines, which might otherwise be missed out
  • Suggests risks, which might be overlooked for a given patient profile

SylexWise Profile Scanner
SylexWise profile scanner periodically scans individual patient profiles to identify potential health risks and sends alerts with risk metrics to patients and assigned doctors, who can decide to take further examination in order to prevent possible escalation of health issues into acute forms.

Healthcare Providers

Clinicians and healthcare staff use SylexWise Smart Guide CDS for reducing risks of diagnostic and clinical errors, saving time on reading lengthy guidelines and getting taking advantage of the aggregated knowledge served in a proper and timely manner.


SylexWise Profile Scanner communicate with patients through Patient Portal. It continuously scans patient profile with all clinical data and calculates possible health risks. Whenever relevant, the system sends risk alerts with related metrics, such as level of risk, major contributing factors and missing data for increased accuracy of assessment.