DeepMind Blog
Apr 30
Enabling a new model for healthcare with AI co-clinician
Researching the path to AI-augmented care and development of an AI co-clinician.
"We'll have to see how it works": An interview study to understand collaborative practices in interdisciplinary artificial intelligence and healthcare research
arXiv:2311. 18424v3 Announce Type: replace-cross Abstract: Developing artificial intelligence (AI) algorithms for healthcare is a collaborative effort, bringing data scientists, clinicians, patients and other stakeholders together.
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arXiv Machine Learning
Jun 4
Associating Healthcare Teamwork with Patient Outcomes for Predictive Analysis
arXiv:2512. 03296v2 Announce Type: replace-cross Abstract: Cancer treatment outcomes are influenced not only by clinical and demographic factors but also by the collaboration of healthcare teams.
arXiv AI
Aug 5
Patient-centered data science: an integrative framework for evaluating and predicting clinical outcomes in the digital health era
arXiv:2408. 02677v2 Announce Type: replace-cross Abstract: This study proposes a novel, integrative framework for patient-centered data science in the digital health era.
arXiv AI
Jun 2
Algorithmic Authority and the Clinical Standard of Care
arXiv:2606. 00044v1 Announce Type: cross Abstract: The integration of artificial intelligence into clinical medicine creates a fundamental tension between algorithmic probabilistic reasoning and the experiential intuition of expert physicians; applying Lawrence Lessig's \enquote{Code is Law} framework, I argue that the architecture of clinical AI systems already functions as de facto medical regulation, reshaping liability and the standard of care.
arXiv AI
Jul 1
Scientific Explanations in Health Sciences: Causality, Trust, and Epistemic Adequacy
arXiv:2606. 31616v1 Announce Type: new Abstract: Medical Artificial Intelligence (AI) is widely expected to transform clinical practice, yet the decision-making processes of many Machine Learning (ML) models remain opaque.
arXiv AI
4d ago
Designing a Boundary Negotiating Artifact for Collaborative Socio-Technical Sense-Making in AI Regulatory Sandboxes
arXiv:2609.37109v1 Announce Type: cross Abstract: The rapid, unpredictable advancements in AI system capabilities has seen regulators take adaptive and experimental approaches to policymaking. Establ...
arXiv AI
Jun 2
AI From the Margins (AIM): Rethinking Participatory AI Design Through the Lived Experience of Minoritized Communities
arXiv:2606. 01171v1 Announce Type: cross Abstract: Artificial intelligence (AI) can reproduce and amplify the structural inequities faced by minoritized communities.
arXiv AI
Jun 2
OpenHospital: A Thing-in-itself Arena for Evolving and Benchmarking LLM-based Collective Intelligence
arXiv:2603. 14771v3 Announce Type: replace Abstract: Large Language Model (LLM)-based Collective Intelligence (CI) presents a promising approach to overcoming the data wall and continuously boosting the capabilities of LLM agents.
arXiv Machine Learning
Sep 4
A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications
The paper evaluates the cost‑effectiveness of consensus‑based learning (CBL) versus federated learning (FL) across seven medical datasets, three tasks, and eight modalities involving 3 to 23 clients. CBL achieves accuracy comparable to FL while dramatically cutting training time (15‑fold) and communication cost (60‑fold). The study suggests that CBL offers a more sustainable and democratized approach to deploying collaborative AI in real‑world healthcare settings.
arXiv AI
Sep 21
Gricea: An Open Science Platform for Conversational AI Research
Gricea is an open‑science platform that represents conversational AI studies as configurable, deployable artifacts, allowing researchers to run, inspect, share, and reuse them. A replication effort using Gricea successfully reproduced 93% of eligible CUI 2026 papers and identified missing details in 96% of papers, highlighting the platform’s necessity. A user study showed that researchers and practitioners from diverse backgrounds could construct runnable studies on various open‑ended questions, demonstrating Gricea’s role in facilitating reproducibility and cumulative knowledge building in conversational AI research.
arXiv Machine Learning
Jun 18
Beyond Algorithms: Conceptual Innovation in Medical Imaging AI
arXiv:2606. 19270v1 Announce Type: cross Abstract: Artificial intelligence has driven rapid progress in medical imaging research, producing increasingly sophisticated algorithms and steady improvements on benchmark tasks.
arXiv AI
Jun 19
AI4SE and SE4AI Exploration: A Decade Looking Back and Forward
arXiv:2606. 19630v1 Announce Type: new Abstract: The March 2020 INCOSE INSIGHT special issue on AI and Systems Engineering (SE) became the most downloaded issue in the publication's history and launched a research community that now draws over 250 registrants to its annual workshop.