
Study Reveals Bias in AI Treatment Recommendations in Healthcare
AI in healthcare may show bias in treatment recommendations based on patient demographics, raising concerns for equitable care. βοΈπ©Ί
Discover the newest research about AI innovations in π§ Mental Health.

AI in healthcare may show bias in treatment recommendations based on patient demographics, raising concerns for equitable care. βοΈπ©Ί

AI’s Impact on Perinatal Depression in LMICs: A Systematic Review ππ€°

AI in asthma care: ChatGPT 96.3% vs. Gemini 92.6% accuracy. Promising tools for patient education! π€π¨

New virtual reality system detects autism early with over 85% accuracy. Promising advancements in diagnosis and intervention. π§ πΆ

Woebot Health will retire its AI mental health app on June 30. Users can download conversation history until then. π π¬

Patient experiences with intranasal esketamine show 88.4% report improved quality of life in treatment-resistant depression. ππ§

AI Chatbots in Mental Health: Risks, Trust Issues, and Ethical Concerns π€π§

Ardent Health’s new CDIO, Anika Gardenhire, focuses on human-centric technology to enhance patient and provider experiences. π₯π»

HealthMed partners with Podimetrics to enhance diabetes care. π©Ί SmartMat technology helps prevent complications in high-risk patients. π£

Rush University Medical Center uses ambient AI to reduce physician burnout, enhancing patient care and improving work-life balance. π₯π€