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Journal
AI and Large Language Models in Clinical Workflow at The Alignment Clinic
The Alignment Clinic specializes in integrating artificial intelligence and large language models into clinical workflows for spine care, enhancing decision-making and patient management.
The Alignment Clinic and this problem
At The Alignment Clinic, we focus on the innovative use of artificial intelligence (AI) and large language models (LLMs) to enhance our clinical workflows, particularly in the realm of spinal care. As healthcare continues to evolve, the integration of AI technologies promises to improve decision-making, optimize patient management, and streamline communication within our practice. Understanding how these technologies work and their implications for patient care is essential for both our team and our patients.
What the researchers studied
Recent studies have explored various applications of AI and LLMs in clinical settings, particularly in the management of spinal conditions. For example, a review published in the *Journal* in 2025 highlighted the potential of AI in predicting persistent postoperative opioid use and opioid use disorder. The authors emphasized the importance of developing trustworthy AI models to assist in clinical workflows (Gabriel RA et al., 2025). Another study in the *Journal* in 2026 examined how LLMs, like GPT, can transform spine medicine by optimizing clinical workflows and improving diagnosis and treatment decisions (Tang W et al., 2026).
What they found
The findings from these studies indicate that machine learning models can effectively predict various outcomes related to opioid use, which can significantly impact how we manage pain in our patients. Additionally, the research showed that LLMs can assist clinicians in evaluating candidates for spinal cord stimulation, providing recommendations that align with expert opinions (Lo Bianco G et al., 2026). Furthermore, a study comparing LLM-generated MRI reports to those written by radiologists found that AI can produce clinically relevant and intelligible reports, suggesting its potential role in enhancing diagnostic processes (Zanardo M et al., 2026).
How The Alignment Clinic approaches this
At The Alignment Clinic, we are committed to staying at the forefront of these advancements. By leveraging AI and LLMs, we aim to enhance our clinical workflows and improve patient outcomes. Our approach includes evaluating the reliability and reasoning capabilities of these technologies to ensure they meet the high standards required for clinical application. We continuously assess the maturity of these models and their integration into our practice, as highlighted in a scoping review that mapped the vertical integration of LLMs in spine surgery workflows (Lui EHY et al., 2026).
What a visit can clarify
During your visit to The Alignment Clinic, we can clarify how our use of AI and LLMs may impact your care. Our team is dedicated to utilizing these technologies to provide personalized treatment plans, improve communication, and enhance the overall patient experience. We are excited about the potential of AI to transform spinal care and are committed to ensuring that our patients benefit from the latest advancements in technology.
This note is general information and is not a personal treatment plan.
The papers behind this note
- JJournal · 2025A Review of Leveraging Artificial Intelligence to Predict Persistent Postoperative Opioid Use and Opioid Use Disorder and its Ethical Considerations.
- JJournal · 2026Medical large language models and systems in the clinical application of spinal diseases: Current status, challenges, and future prospects.
- JJournal · 2026Smart Processing and Intelligent Navigation for Evaluation (SPINE): Comparing Clinicians and AI Language Model (GPT-4) in Spinal Cord Stimulation Candidate Selection.
- JJournal · 2026Can AI write reports like a radiologist? A blinded evaluation of large language model-generated lumbar spine MRI reports.
- JJournal · 2026Large language models in the vertical integration of spine surgery workflow: a scoping review.