AI and Medicine ecosystem
Tools, training and critical analysis for health professionals who need to use AI with rigor, ethics and scientific grounding.
Dr. Aydamari Faria-Jr
PhD, UFF professor, TEDx speaker
// digital products
The patient arrives with paper exams. You take a photo with your phone and, within seconds, the structured text appears on the computer, ready for the medical record. No typing. No WhatsApp. No data leakage risk.
Focus: Automatic transcription of exams and clinical documents.
Best use: Physicians, residents and professionals with ambulatory demand.
You receive a virtual patient, conduct the consultation and make clinical decisions in real time. At the end, a structured debrief points out strengths, gaps and improvements, without judgment and with unlimited repetition.
Focus: Clinical reasoning, decision-making and doctor-patient communication.
Best use: Clinical-cycle students, interns and residents.
Individual follow-up for physicians and health professionals who want to master AI in daily practice. Tailored sessions, from basics to advanced, focused on specialty and real context.
Focus: Digital maturity diagnosis, curation and direct application.
Best use: Physicians, educators and leaders who need individualized guidance.
// for institutions
From AI literacy for administrative teams to applied clinical use, these programs are evidence-oriented and adapted to the reality of each institution.
In-person programs for administrative teams and care professionals. Content adapted to the institution's reality.
Request proposalAI maturity diagnosis, opportunity mapping and implementation roadmap. For leaders who need to separate signal from noise before investing.
TalkLectures e workshops para congressos, eventos corporativos e jornadas científicas. Conteúdo técnico-didático, sem hype.
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// about
Biomedical scientist, MSc in Neuroimmunology, PhD in Physiology, Neurosciences professor at UFF and fifth-year medical student. My work combines cognition, education, clinical reasoning and critical analysis of the impact of artificial intelligence on health care.
Learning and practice without shortcuts - less hype, more method; fewer vague promises, more responsible evidence-based application.
