THIS WEEK IN CLINICAL AI
THE PULSE
What Happens After the AI Responds
The Brief: Two new studies found that AI can influence physician decision-making while also creating additional work when its outputs require extensive review and editing.
AI in Context
Physicians were significantly more likely to recommend a treatment when AI labeled a patient as highly sensitive, even though the clinical cases were otherwise identical.
The AI label also influenced physicians' perceptions of treatment effectiveness, making the same treatment appear more effective simply because of the AI's recommendation.
AI-generated patient messages often required substantial editing because they omitted important follow-up questions, included inaccurate details, or failed to match clinician communication styles
Why It’s Relevant: These studies suggest that responsible AI depends on more than the technology itself. Safe, effective use also requires thoughtful implementation, human oversight, and clinicians who know when to question AI outputs.
READ THE FULL ARTICLES HERE
PSYCHOLOGY & BEHAVIORAL HEALTH
Can ChatGPT Be Your Therapist? USC Study Tests AI Responses to Mental Health Questions
(USC Viterbi, 2026)
The Brief: As public use of general AI for mental health grows, researchers found safety gaps that reinforce the need for professional oversight.
AI in Context
Researchers evaluated ChatGPT-4, Llama 3.3, and Gemini 1.5 Pro, finding that all three models sometimes recommended medications, suggested treatments, or guessed diagnoses despite not being qualified to provide clinical advice.
Llama 3.3 was most likely to overgeneralize and provide unauthorized medical advice, while ChatGPT-4 more often produced responses that were unconstructive or lacked personalization.
Gemini 1.5 Pro was most frequently flagged for low empathy, and all three models consistently overestimated their own performance, failing to identify safety risks that human experts recognized.
Why It’s Relevant: As AI becomes more common in mental health, clinicians should understand both what these systems do well and where they can produce unsafe or misleading guidance that requires professional oversight.
Snapshot of AI Usage and Concerns Among Children and Parents
(UNICEF, 2026)
Photo Credit: UNICEF (2026)
The Brief: UNICEF found that children are adopting AI far faster than their parents, creating new opportunities alongside growing concerns about safety, misinformation, and digital wellbeing.
AI in Context
Up to 50% of surveyed children had used AI, with many using it for homework and some seeking advice about personal concerns.
Children were more than three times as likely to use AI as their parents or caregivers, highlighting a growing AI literacy gap within families.
UNICEF estimates at least 1.2 million children experienced AI-generated sexually explicit deepfakes in one year across 11 countries.
Why It’s Relevant: Therapists may increasingly need foundational AI literacy to understand how AI influences the therapeutic relationship and help children and families build safe, informed AI habits.
MEDICINE & CLINICAL INNOVATION
Governor JB Pritzker signs AI bill into law
(ABC7, 2026)
The Brief: Illinois passed a new AI safety law requiring the largest AI developers to implement risk management programs, publish transparency frameworks, and complete annual independent audits.
AI in Context
The law applies to the most advanced AI models developed by the largest companies, including OpenAI and Anthropic, using revenue and computing thresholds.
Covered companies must publish safety and transparency frameworks and undergo yearly third-party audits.
Violations can result in fines of up to $3 million for repeated noncompliance.
Why It’s Relevant: As healthcare organizations expand AI adoption, this law reflects a broader shift toward stronger governance, independent evaluation, and greater accountability for high-impact AI systems.
Medical AI may look less biased on paper but not in practice, new study finds
(Medical Xpress, 2026)
Photo Credit: Nature Health (2026)
The Brief: A new study found that medical AI systems appeared less biased than humans on standard tests but still showed meaningful stigma when making real-world clinical judgments.
AI in Context
Researchers evaluated six major AI models, including ChatGPT, Grok, and Claude, on health-related stigma using both traditional surveys and real-world clinical scenarios.
Although the models appeared less biased on standard tests, they were more likely to associate people with mental health conditions, HIV, or hepatitis B with danger or avoidance, while conditions like back pain or high blood pressure were more often linked with pity or incompetence.
Researchers found that structured reasoning prompts reduced bias and recommended contextual bias testing before deployment.
Why It’s Relevant: Evaluating AI requires more than benchmark scores. Organizations should test how systems make decisions in realistic scenarios because real-world performance often reveals risks that standard evaluations can miss, including in clinical settings.
WAYDE AI INSIGHT
This issue highlights a common thread across healthcare and mental health. AI is becoming part of everyday care, but its real impact depends on how people interact with it. Patients are seeking support from AI, clinicians can be influenced by its recommendations, and systems that perform well on benchmarks may still fall short in practice. Responsible AI begins with more than capable technology. It requires thoughtful implementation, professional judgment, and the AI literacy to recognize both where AI adds value and where human expertise must lead.
If you are exploring how AI could fit into your practice or organization, we invite you to schedule a complimentary 30-minute strategy call to discuss opportunities, challenges, and practical next steps.
WANT MORE?
Ready to grow your AI literacy? Click on one of the materials below to start exploring.
AI Is Already in Your Practice. Your Patients Know It. Do You?
What AI Is and Why It Matters
Defining the Boundaries of AI in Mental Health with Dr. Shannon Wiltsey Stirman
Upcoming Talk: July 22th, 2026
Helping healthcare professionals adopt AI ethically and responsibly.
Produced by Wayde AI with AI assistance.