Healthcare professionals face increasing pressure to provide accurate diagnoses while managing growing patient loads. Medical knowledge is expanding rapidly, making it impossible for any single practitioner to stay current with all developments. Diagnostic errors can have serious consequences, and doctors often need second opinions or access to specialized knowledge that may not be immediately available. Additionally, rural and underserved areas lack access to specialist expertise, leading to delayed or suboptimal care. The healthcare system needs intelligent tools that can assist medical professionals without replacing their judgment, providing evidence-based recommendations and helping identify rare conditions or drug interactions.
HealthAI Assistant is an advanced medical AI system designed to support healthcare professionals in diagnosis, treatment planning, and clinical decision-making. Our platform uses state-of-the-art medical language models trained on millions of peer-reviewed research papers, clinical guidelines, and anonymized patient records. The system can analyze patient symptoms, medical history, lab results, and imaging studies to suggest potential diagnoses ranked by probability, recommend relevant tests, identify drug interactions, and provide evidence-based treatment options. Importantly, HealthAI Assistant is designed as a support tool that enhances rather than replaces clinical judgment, always requiring physician review and approval. The platform includes features for differential diagnosis, drug interaction checking, clinical guideline recommendations, and research paper summarization. All recommendations are explainable, showing the reasoning and evidence behind each suggestion.
Q1: Complete MVP with core diagnosis support features and initial FDA regulatory review. Q2: Integration with major EHR systems and pilot programs with 10 hospitals. Q3: Advanced imaging analysis capabilities and expansion to additional medical specialties. Q4: Multi-language support and global regulatory approvals. We are working closely with medical institutions and regulatory bodies to ensure safety and efficacy.
3.000.000,00 €
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Navigate FDA, EMA, and other regulatory approval processes. Prepare regulatory submissions, ensure compliance with medical device regulations, and manage quality systems. Work with legal and clinical teams to document safety and efficacy.
Curate and prepare medical datasets for training. Ensure data quality, handle missing values, and create data pipelines. Work with medical professionals to annotate data and validate labels. Implement data privacy and anonymization techniques.
Build the platform infrastructure, integrate with EHR systems using HL7 FHIR, and ensure HIPAA compliance. Develop secure APIs, implement data encryption, and build audit logging systems. Work with healthcare IT teams to deploy and maintain the system.
Research and develop advanced AI models for medical applications. Work with medical datasets, implement clinical knowledge graphs, and ensure model accuracy and safety. Collaborate with medical professionals to understand clinical workflows and requirements. Publish research papers and contribute to medical AI community.
Provide medical expertise, guide product development from clinical perspective, and ensure regulatory compliance. Build relationships with healthcare institutions and medical professionals. Review and validate AI recommendations for clinical accuracy. This role requires an MD with experience in clinical practice and interest in medical technology.
Work-for-Equity allows you to bring your expertise without making large capital investments. You work on a project and receive equity or a share of revenue in return.