5 AI Scenarios for Doctors: Streamlining Medical Workflows

Continuous medical education (CME) is a cornerstone of professional development. AI tools can significantly simplify the process of absorbing and synthesizing information from online lectures, webinars, and courses. For instance, tools like Tactiq can automatically transcribe online meetings in real-time. The transcribed text can then be fed into a versatile AI assistant like Monica, which can generate concise summaries or extract key takeaways. Users can refine these summaries through iterative prompts, asking for specific points, main themes, or even clinical cases discussed. This allows for the creation of detailed personal notes enriched with relevant details, transforming raw lecture material into actionable knowledge. The article provides example prompts for analyzing text, such as 'Analyze this text and highlight 15 key thoughts' or 'Create a summary of this text file. Formulate the main content of this document.'

Medical professionals engaged in research can significantly benefit from AI in various stages of scientific publication. The process begins with identifying a relevant and novel research topic, which often requires extensive literature review. While traditional methods like PubMed searches with MeSH terms are effective, AI tools like Perplexity can provide curated excerpts with citations, forming a basis for the introduction section. Connected Papers and Scite can further assist in identifying relevant sources based on similarity and citation metrics. AI-powered text generators like ChatGPT and YandexGPT 3 can help draft sections of an article, but it's crucial to critically review and edit the output to avoid factual inaccuracies or plagiarism. For data analysis, AI can assist with generating code snippets or explaining statistical approaches in languages like R and Python. Visualization tools and even Copilot for Excel can aid in creating graphs and diagrams. AI can also help structure the 'discussion' section by summarizing key findings from literature. The article provides a multi-stage prompt example for this purpose. Finally, AI can assist in selecting appropriate journals for publication by generating lists based on specific criteria.

For physicians who have already prepared a scientific article or a substantial piece of text, AI can automate the creation of presentations. Uploading the existing document into tools like Gamma can directly generate slides, which can then be edited. Alternatively, AI can first condense the article into a slide-by-slide plan using tools like Monica. Gamma can then be used to generate specific slides, such as those requiring the explanation of novelty, relevance, or epidemiological data, by feeding it the introduction of the article. The physician can then focus on refining the results section and adding their unique insights. This workflow dramatically cuts down the time needed for presentation development, allowing busy doctors to focus on their core responsibilities.

While AI offers immense potential, it's crucial to approach its integration with caution and critical thinking. The article repeatedly emphasizes that AI tools are assistants, not replacements for human expertise. Physicians must always verify the accuracy of AI-generated information, especially in scientific writing, as AI can 'hallucinate' or fabricate facts. Modern plagiarism detection systems can identify AI-generated text, so careful editing and original input are essential. Furthermore, when selecting journals for publication, it's important to avoid predatory journals and focus on reputable, peer-reviewed publications. Ethical considerations, such as data privacy and responsible use of AI, are paramount in the medical field. The article implicitly encourages a balanced approach, where AI augments human capabilities rather than supplanting them.