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Associating Healthcare Teamwork with Patient Outcomes for Predictive Analysis
arXiv:2512.03296v2 Announce Type: replace Abstract: Cancer treatment outcomes are influenced not only by clinical and demographic factors but also by the collaboration of healthcare teams. However, prior work has largely overlooked the potential role of human collaboration in shaping patient survival. This paper presents an applied AI approach to uncovering the impact of healthcare professionals' (HCPs) collaboration, captured through electronic health record (EHR) systems, on cancer patient...
Koh Poh Koon to return to healthcare as a surgeon
Koh Poh Koon to return to healthcare as a surgeon In a social media post, Dr Koh thanked his former colleagues at the Ministry of Health after a farewell lunch on Tuesday (Jun 2). Dr Koh Poh Koon, who recently relinquished his key appointments of Senior Minister of State for Health and Manpower, will return to a career in healthcare as a surgeon. In a social media post on Tuesday (Jun 2), Dr Koh thanked his former colleagues at the Ministry of Health (MOH), including Health Minister Ong Ye...
US healthcare still stupidly expensive, with pathetic outcomes, study finds
An updated analysis comparing healthcare systems across 20 countries finds once again that the US system is an outstandingly poor performer, summarized as being a “persistent failure” for its high costs, poor health outcomes, and premature deaths. “Americans pay more for health care, get less in return, and remain far more exposed to illness, debt, and insecurity than their peers,” the report concludes. The report comes from The Commonwealth Fund, a private foundation focused on healthcare...
China Healthcare Stocks Fall to Record Low Valuation on AI Drain
China Healthcare Stocks Fall to Record Low Valuation on AI Drain China’s healthcare stocks have slumped to their cheapest level ever, as a rush into local artificial intelligence beneficiaries draws capital away from defensive sectors. The CSI Health Care Index is now trading at about 2.7 times price to book, slipping below even the low set during the global financial crisis. Meanwhile, a popular index of Chinese tech stocks trades at around 8 times.
Healthcare Mechanisms from Policy-as-Code Search under Strategic Provider Response
arXiv:2605.30680v1 Announce Type: new Abstract: Healthcare mechanisms are inseparable from the strategic provider response they induce: existing healthcare AI benchmarks hold this response fixed and so cannot evaluate mechanisms by the equilibrium they produce. We recast hospital mechanism design as program synthesis for language models: typed, inspectable rule programs are executed and scored by Medi-Sim, a multi-agent simulator with five strategic provider channels (coding, selection,...
Microsoft and Mayo Clinic unveil a new ‘safe and trusted’ AI for healthcare
The organisations said the model is being initially deployed within Mayo Clinic’s clinical environment, where it can be tested and refined through real-world use. Microsoft and the nonprofit American academic medical centre Mayo Clinic are developing a new artificial intelligence (AI) model designed specifically for healthcare, in a move aimed at supporting patients, clinicians and consumers, according to an announcement. The organisations said the model will combine Mayo Clinic’s medical...
191 attacks on healthcare, 128 dead: What WHO's latest Lebanon warning reveals
The World Health Organisation (WHO) has raised alarm over continued attacks on healthcare facilities in Lebanon, warning that the violence is costing lives and further restricting access to essential medical services. In its latest update, WHO reported that recent hostilities in the southern Lebanese city of Tyre have affected two of the city's three hospitals. In an X post, WHO Director General Tedros Adhanom Ghebreyesus wrote, “Attacks on health in #Lebanon continue to take lives and...
When Large Language Models Fail in Healthcare: Evaluating Sensitivity to Prompt Variations
arXiv:2606.07237v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly used in healthcare for tasks such as clinical question answering, diagnosis support, and report summarization. Despite their promise, these models remain highly sensitive to subtle prompt perturbations, both lexical and syntactic, posing serious risks in safety-critical clinical applications.
Perspective on Bias in Biomedical AI: Preventing Downstream Healthcare Disparities
Announce Type: replace Abstract: Healthcare disparities persist across socioeconomic boundaries, often attributed to unequal access to screening, diagnostics, and therapeutics. However, this perspective highlights that critical biases can emerge much earlier, during data collection and research prioritization, long before clinical implementation, particularly in studies focused on molecular and omics data. A vast number of studies focus on collecting omics data, but the demographic...
Appraisal Dimensions Generalise Better than Emotion Labels for Cross-Age Affect Recognition in AI-Assisted Healthcare
arXiv:2604.27938v2 Announce Type: replace Abstract: The integration of artificial intelligence (AI) into healthcare has advanced significantly, yet affect recognition remains a major challenge, particularly in AI-assisted interventions such as Computerized Cognitive Training (CCT). The THERADIA-WoZ corpus was developed to enable multimodal affect recognition in the context of AI-driven CCT, focusing on an older adult population. This study extends the corpus by introducing a dataset...