University of Massachusetts Chan Medical School

Type

Education

Country

United States

US

ROR

0464eyp60

not unique to one org

OpenAlex

I166722992

the anchor

Documents

93

through any edge

Papers

93

authorship edges

Awards made

Named as funder

Papers

Documents in the 44B Library with University of Massachusetts Chan Medical School on the authorship, newest first.

2026-07-08 · 3 authors here

A Multi-Criteria Sample Selection Framework Using Uncertainty, Reliability, Representativeness, and Non-Redundancy for Emergency Department Prediction

2026-06-11 · 3 authors here

Multicriteria Adjustment Fairness Framework: Measurement, Mitigation, and Interpretability in Emergency Department Prediction

2026-06-08 · 4 authors here

The <scp>HALO</scp> Model: A Learning Health System Framework for Artificial Intelligence

2026-06-01 · 13 authors here

Machine Learning for Coronary Heart Disease Prediction: Comparative Analysis of Framingham and Cleveland Subset of the UCI Dataset with SHAP-Based Interpretability

2026-05-27 · 7 authors here

<scp>SCALES</scp> ‐ <scp>AI</scp> : A Supervision‐ and Context‐Aligned Entrustment Framework for Integrating Artificial Intelligence Into Emergency Medicine Education

2026-04-23 · 9 authors here

Leveraging routine clinical data for dementia risk prediction using machine learning

2026-04-22 · 5 authors here

Towards Autonomous Instrument Tray Assembly for Sterile Processing Applications

2026-04-13 · 17 authors here

Large Language Model Performance and Clinical Reasoning Tasks

2026-04-01 · 9 authors here

MOLT: multi-object and lineage tracking in 2D and 3D biomedical time-series imaging

2026-03-22 · 10 authors here

RepAir: A Framework for Airway Segmentation and Discontinuity Correction in CT

2026-02-23 · 3 authors here

The augmented physician: AI and the future of clinical cognition

2026-01-27 · 1 authors here

[DRAC] Imaging Persistent Hardware Descriptors (PHD): persistent identification of instrument instances and hardware configurations

2026-01-27 · 1 authors here

[DRAC] Imaging Persistent Hardware Descriptors (PHD): persistent identification of instrument instances and hardware configurations

2026-01-27 · 1 authors here

[DRAC] Imaging Persistent Hardware Descriptors (PHD): persistent identification of instrument instances and hardware configurations

2026-01-27 · 1 authors here

[DRAC] Imaging Persistent Hardware Descriptors (PHD): persistent identification of instrument instances and hardware configurations

2026-01-20 · 7 authors here

Lightweight SwiM-UNet with multi-dimensional adaptor for efficient on-device medical image segmentation

2026-01-09 · 2 authors here

Multimodal graph neural networks in healthcare: a review of fusion strategies across biomedical domains

2026-01-01 · 12 authors here

A Structured Comparison of the Coalition for Health AI Responsible AI Guide and South Korea’s Trustworthy AI Guideline for Health Care AI Assurance: Comparative Framework Analysis

2025-12-22 · 7 authors here

Artificial Intelligence in Surgical Research: Transformative Impacts and Evolving Ethical Challenges

2025-12-01 · 10 authors here

ADAM‐1: A Novel AI driven approach to Alzheimer's disease Research and Multi‐modal Data Analytics

2025-12-01 · 4 authors here

Predicting Future Risk of Dementia Using Machine Learning and Longitudinal Electronic Health Records

2025-11-20 · 6 authors here

Artificial Intelligence Education in Radiology Training: A Systematic Review of Effectiveness, Barriers, and Future Directions

2025-10-29 · 11 authors here

GrantCheck—an AI Solution for Guiding Grant Language to New Policy Requirements: Development Study

2025-10-28 · 4 authors here

A systematic review and meta-analysis of GPT-based differential diagnostic accuracy in radiological cases: 2023–2025

2025-10-21 · 8 authors here

Development and Validation of a Generative Artificial Intelligence-Based Pipeline for Automated Clinical Data Extraction From Electronic Health Records: Technical Implementation Study

Showing 25 of 93 on record.

Funding

Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.

Who funds this work

Funders named on the papers above. The record holds no recipient field, so this is reached through the documents themselves — and the two columns are two different claims, kept apart.

© 2026 NYSGPTLast Updated: August 5, 2026