Medical Knowledge & Physician Burnout - Medical knowledge is doubling at an accelerating rate, estimated at every 73 days, making it impossible for physicians to keep up with the top third of peer-reviewed literature within their specialty, requiring approximately 9 hours of reading per day [1][2][3] - Physician burnout is a significant issue, with almost half of U S physicians experiencing at least one symptom of burnout, exacerbated by the explosion of medical research [1] - The "golden age of biotechnology" is contributing to a "dark age" for physicians in terms of burnout, despite advancements in drug discovery and development [6][7] Open Evidence: AI Solution & Impact - Open Evidence is an AI model designed to act as a "brain extender" for physicians, helping them manage the overwhelming amount of medical literature by understanding the semantic meaning of research findings [3] - Open Evidence has signed up around 50% of all doctors in America and is adding 65,000 every month [4] - Open Evidence is valued at $3.5 billion [4] - Open Evidence does not diagnose; physicians are still relied upon for all traditional physician responsibilities [4][5] Business Model & Technology - Open Evidence licenses medical literature from trusted sources like the Massachusetts Medical Society (New England Journal of Medicine) and the American Medical Association (JAMA), avoiding copyright issues [10][11][12] - Open Evidence's business model is similar to Google's, relying on advertising to align incentives between the platform and users, focusing on attracting more users and increasing engagement [12][13][14] - The future vision involves AI serving as connective tissue between physicians, connecting those with atypical cases to experts, rather than just answering questions [17][18][19] Integration & Future Potential - Integrating AI tools like Open Evidence into the workflow is crucial for realizing their full potential in healthcare, including marrying genetic information, medical images, and electronic health records for personalized care [14][15][16] - Cybersecurity remains a key consideration for AI tools in healthcare to protect patient health information [9]

Diagnosis & Prevalence of Endometriosis - Approximately 176 million women worldwide experience delayed endometriosis diagnosis, often waiting years [3] - Endometriosis affects 1 in 10 Polish women, yet diagnosis takes 7-10 years on average [4][5] Historical Context & Gender Bias in Medicine - Historically, women's health issues were neglected due to male dominance in medicine, exemplified by the "wandering uterus" theory [6][7][8][9][10][11] - Victorian era saw "hysteria" diagnosis used to control women, highlighting the lack of development in female healthcare [10][11][12] - Women were excluded from medical practice due to beliefs about their mental instability and potential infertility from using their brains too much [12][13][14] - The concept of the "male norm" persists, with anatomy and physiology studies often based on male subjects [18][19] Clinical Trials & Medication Effectiveness - Clinical trials often exclude women due to hormonal fluctuations, leading to medications working differently or not at all in women [20][21] - Scientific American criticized including both sexes in clinical research as a waste of time and money [21][22] - Diseases are often described through the lens of male symptoms, slowing diagnosis in women, even in cases like stroke or heart attack [23] Research Bias & Objectification - A study ranked women with chronic disease based on attractiveness, highlighting bias in research [24][25] Hope & Advocacy - Lexi's story shows recovery is possible, and she became a gynecologist to advocate for women's health [26] - Breaking the cycle of abuse requires acknowledging the legacy of hysteria and its impact [27]