Core Insights - The article discusses the integration of AI models in healthcare, particularly in early diagnosis and treatment, showcasing a personal experience with AI-driven medical consultations and tests [3][28][32]. Group 1: AI Model Performance - Grok 4 leads the AI model rankings, followed by international models like Gemini and OpenAI's offerings, with domestic open-source model DeepSeek achieving high scores [1][2]. - The performance metrics include cost per million tokens and processing speed, indicating a competitive landscape among AI models [2]. Group 2: AI in Medical Diagnosis - The use of AI models for generating medical histories and preliminary diagnoses is highlighted, demonstrating the potential for AI to assist in patient self-assessment [4][9]. - AI provides recommendations for medical tests based on symptoms, streamlining the diagnostic process [5][6]. Group 3: Future of Healthcare - The article predicts a shift in healthcare where hospitals will focus on testing and treatment rather than traditional consultations, as AI models become more capable [32][33]. - AI is expected to replace manual processes in patient diagnosis and record-keeping, enhancing efficiency in healthcare delivery [33][34]. Group 4: Patient Experience - The experience of using AI for self-diagnosis and test ordering is described, emphasizing the convenience and speed of receiving results without traditional doctor visits [12][16]. - AI's ability to interpret test results and provide health advice is noted as a significant advancement in patient care [18][21]. Group 5: Implications for Medical Professionals - The article suggests that medical professionals need to adapt to the integration of AI in healthcare, as it will change the dynamics of patient interaction and diagnosis [38]. - The importance of AI model performance in determining hospital quality and patient outcomes is emphasized, indicating a future where AI capabilities will be a key factor in healthcare effectiveness [36][37].