Elsevier's "2025 Future Doctor Whitepaper: Key Insights for Sustainable Medical Industry Development," based on a March-April 2025 survey of 2,206 clinicians (1,781 doctors, 425 nurses) across 109 countries, focuses on the current medical landscape, AI's transformative impact, and future trends.

        Currently, clinicians face multiple challenges. 69% of doctors reported increased patient volumes compared to two years ago, 28% felt they lacked sufficient time to provide quality care (74% attributing this to excessive patient numbers), 47% said fatigue affected diagnostic efficiency, and 31% considered leaving their jobs within two years (down from 37% in 2023), with North America (46%) and Europe (43%) showing the highest intention, nearly half planning to leave healthcare entirely. Medical misinformation is prominent, with 59% of doctors saying it hinders patient cooperation (over 70% in North/South America and the US, while Japan (29%) and China (45%) are less affected). Meanwhile, medical institutions perform poorly in providing digital tools (including AI) (32%认可), AI training (30%认可), and AI governance (29%认可), with 57% of doctors believing AI usage guidelines could enhance trust.

        AI is profoundly transforming healthcare. 48% of doctors use AI for work (up from 26% in 2024), led by Asia-Pacific (56%) and China (71%), with the US (36%) and UK (34%) lower. Usage includes identifying drug interactions (30%), analyzing medical images (21%), but only 16% for clinical decisions (48% desire this); 97% use general AI tools like ChatGPT, 76% use clinical专用 AI tools. 57% feel clinical AI tools save time, 53% believe they empower themselves and increase diagnostic options, but North American doctors are less convinced (only 30% feel empowered). Doctors most want AI for identifying drug interactions (89%), analyzing medical images (82%), and providing patient medication summaries (81%). Trust-wise, 40% find clinical AI tools trustworthy, with nurses (47%) higher than doctors (32%), and Asia-Pacific (49%) higher than North America (20%); 68% believe automatic reference citation enhances trust, 65% care about data confidentiality and training on high-quality peer-reviewed content, 61% want AI outputs regularly reviewed by independent experts.

        For healthcare's future, doctors are optimistic about AI. 70% expect AI to save time in 2-3 years, 58% believe it can accelerate diagnosis, 54% think it can improve diagnostic accuracy, 55% say it may improve patient outcomes, with Chinese doctors most confident in accelerated diagnosis (75%) and time-saving (77%), while North America and Europe are more conservative. 56% expect AI to analyze all medical images for anomaly detection, 41% believe doctors using AI provide higher-quality care, 38% think most patients will self-diagnose via online AI tools (over 50% in the US, Brazil, India). Additionally, 53% expect rising medical costs (North America 74%, Europe 63%), 51% think hospital stays will shorten with easier service access for all, 50% expect more equitable healthcare, and 31% believe most medical services will be provided at home.

        The report notes achieving an AI-driven medical future requires collaboration: AI tech providers ensure transparency, privacy, and accuracy; medical institutions provide reliable AI tools, training, and governance; doctors provide feedback and seek support. Future doctors must use AI as an aid, balance technology with humanistic care, improve diagnostic efficiency and quality, and promote sustainable medical industry development.