# STAT Readers Weigh In on M.D. vs. D.O., AI in Medicine, and Surrogacy

In a September 5, 2026 letters-to-the-editor feature, STAT published reader responses on several topics in medicine and life sciences. Readers shared their views on the differences between M.D. and D.O. degrees, the role of artificial intelligence in clinical practice, and surrogacy arrangements.

One reader comment, selected by STAT, addressed the question of legal and ethical responsibility when AI is used in medical decision-making. The reader argued that a simple click, signature, or brief review should not automatically transfer liability from an AI developer or platform to a physician. The remark underscores ongoing debate about accountability as AI tools become more common in diagnostics and treatment planning.

Other reader letters touched on how medical training paths (M.D. versus D.O.) are perceived, and the ethical complexities surrounding surrogacy. The feature did not include specific survey data or vote counts; it presented a curated selection of reader opinions submitted to STAT’s editorial team.

**Context for life sciences readers.** The letters reflect several high-stakes questions at the intersection of medicine, technology, and regulation. AI’s growing role in radiology, pathology, and clinical decision-support forces a reexamination of professional liability and informed consent. Similarly, discussions around M.D. and D.O. training highlight workforce diversity in a field where physician shortages persist. Surrogacy touches on reproductive medicine, legal frameworks, and the commercialization of biological services. Each of these topics directly affects biotech product development, clinical trial design, and healthcare delivery.

Source: [Original report](https://www.statnews.com/2026/09/05/md-vs-do-surrogacy-ai-medicine-stat-letters-to-editor/?utm_campaign=rss)