health

“AI can be multidimensional if we wish.”

“Concerns about data privacy and hallucination aren't slowing the healthcare industry's embrace of automation.”

“Can AI be both cause and yet also a helper?”

“AI won’t replace drug scientists— it supercharges them: faster discovery + cheaper testing.”

“The money and products are pouring into health and voice AI...”

“Will AI make the public healthier?”

“The money and products are pouring into health and voice AI...”

“AI+medical development is a long-term revolution.”

“Clients are asking therapists to assess their AI chats.”

“AI healthcare is evolving from 'information indexing' to 'service delivery,' and a handover of the human health baton is quietly underway.”

“Baichuan-M3...is not responsible for simply generating conclusions, but is trained to actively collect key information, build medical reasoning paths, and continuously suppress hallucinations during the reasoning process. ”

“SALP-CG reliably helps classify categories and grading sensitivity in online conversational health data across LLMs, offering a practical method for health data governance.”

“We exploit existing ICD-9 codes for prediction on admissions, which achieved an 89% F1.”

“One doctor claims it's 98 percent accurate.”

“The study highlights the strong connection between sleep and overall health, demonstrating how AI can leverage this relationship for early disease detection.”

“The article highlights the significance of addressing user's mental health concerns within AI interactions.”

“The article highlights the potential of AI to address the common issue of 'having information but lacking understanding' in healthcare.”

“"Over the past year, I led OpenAI's research on a question with almost no established precedents: how should models respond when confronted with signs of emotional over-reliance or early indications of mental health distress?"”

“"To address the loneliness of children who feel 'it's difficult to talk to teachers because they seem busy' or 'don't want their friends to know,' I created an AI counseling app."”

“Innovation drug dreams are traded for 'life-sustaining funds'.”

“This is a placeholder, as the provided content snippet is insufficient for a key quote. A relevant quote would discuss challenges or opportunities for AI in medical applications.”

“A key takeaway from the discussion would highlight the importance of balancing AI's capabilities with human expertise and ethical considerations within the healthcare context. (This is a predicted quote based on the title)”

“AI personas are increasingly being used in the mental health field, such as for training and research.”

“Yet none of the releases are cleared as medical devices, approved for clinical use, or available for direct patient diagnosis—despite marketing language emphasising healthcare transformation.”

“旭化成エレクトロニクスとAizipは、センシングとAIを活用した「リアルタイム嚥下検知技術」と「ジェスチャー認識技術」に関する協業を開始した。”

“Specifically, natural language processing (NLP) and machine learning (ML) techniques can identify potential PTSD cases among these populations, achieving accuracy rates between 74% and 90%.”

“These findings strongly support a human-in-the-loop (HITL) workflow in which the on-premise LLM serves as a collaborative tool, not a full replacement.”

“This work demonstrates that combining interpretable fuzzy rules with feature importance explanations enhances both utility and trust, providing practical insights for XAI deployment in maternal healthcare.”

“Is Fitbit Premium, and its Gemini smarts, enough to justify its price?”

“MedGemma 1.5, small multimodal model for real clinical data MedGemma […]”