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explainable ai

2,752 papers

#explainable ai Open access Oct 2026

ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT: EMERGING APPLICATIONS, CLINICAL OPPORTUNITIES AND CHALLENGES

Diabetes mellitus is a serious chronic metabolic disease marked by continuous problems in the regulation of glucose and is linked to a wide range of cardiovascular, renal, neurological, ophthalmic and other complications. Because of the growing number of people with diabetes, the difficulty of providing individualized...

Sachin Kumar1, Vijay Vaishnav1, Surabhi Raviprakash Singh2* · 0 citations
#explainable ai Open access Oct 2026

ROLE OF ARTIFICIAL INTELLIGENCE IN PERSONALIZED MEDICINE A COMPREHENSIVE REVIEW

The idea behind personalized medicine is simple to explain but difficult to execute: prevention, diagnosis, prognosis and treatment should be based on the biological, clinical, environmental and behavioral specificities of the patient who is in front of the clinician, rather than the average patient of a trial populati...

Chittesh K. A.1, Thibiraj C.1, Jeyaprabha P.1*, Sambath Kumar R.1 · 0 citations
#explainable ai Open access Oct 2026

ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT: EMERGING APPLICATIONS, CLINICAL OPPORTUNITIES AND CHALLENGES

Diabetes mellitus is a serious chronic metabolic disease marked by continuous problems in the regulation of glucose and is linked to a wide range of cardiovascular, renal, neurological, ophthalmic and other complications. Because of the growing number of people with diabetes, the difficulty of providing individualized...

Sachin Kumar1, Vijay Vaishnav1, Surabhi Raviprakash Singh2* · 0 citations
#explainable ai Open access Oct 2026

ROLE OF ARTIFICIAL INTELLIGENCE IN PERSONALIZED MEDICINE A COMPREHENSIVE REVIEW

The idea behind personalized medicine is simple to explain but difficult to execute: prevention, diagnosis, prognosis and treatment should be based on the biological, clinical, environmental and behavioral specificities of the patient who is in front of the clinician, rather than the average patient of a trial populati...

Chittesh K. A.1, Thibiraj C.1, Jeyaprabha P.1*, Sambath Kumar R.1 · 0 citations
#explainable ai Oct 2026

Construction and application of a problem-based learning teaching model based on the DeepSeek-R1 model

Objective To leverage the chain-of-reasoning capability of DeepSeek-R1 (DS) to construct an AI patient capable of demonstrating the clinical reasoning process,and integrate it into PBL teaching for respiratory diseases,evaluating its effectiveness in improving students′ clinical reasoning skills,pathophysiological unde...

LIU Yuxi, XU Xiaofei, WANG Mingjie, XIANG Meng, YANG Dawei, YOU Linya, LIU Qiong · 0 citations

Analysis of the Knowledge Structure, Thematic Evolution, and Emerging and Future Research Directions in User Interface Design for Explainable Artificial Intelligence (XAI) in Decision-Making Dashboards: A Scientometric Study

Purpose: The rapid diffusion of artificial intelligence (AI) in organizational decision-making environments has intensified concerns about transparency, interpretability, and user trust. As complex machine learning models increasingly support managerial and policy decisions, the need for Explainable Artificial Intellig...

Sepehr Noroozi Chakoli, Ehsan Mousavi Khaneghah · 0 citations
#explainable ai Open access Oct 2026

Explainable AI for Diabetes Nutrition: Time-Aware Seq2Seq Learning for Personalized 21-Meal Weekly Planning

The proposed CA-Seq2Seq-LSTM-Attn framework is a promising decision-support tool for personalised dietary control in T2DM as it generates interpretable, nutritionally balanced and clinically matched meal recommendations.

Satish Singh Mekale, Maumita Chakraborty, Chiradeep Mukherjee · 0 citations
#explainable ai Book Open access Oct 2026

Too Human or Not Enough? User Preferences for AI Error Recovery Messages

It is suggested that effective AI error recovery should maintain a professional baseline while adapting to the seriousness of the mistake, and value directness, clarity, accountability, and restraint over humor or highly human-like expression.

Anastasiia Satarenko · 0 citations
#explainable ai Book Open access Oct 2026

Designing the Future Forest: HCI Challenges and Opportunities in Forest 4.0

Findings from a structured Future Workshop involving 29 participants distributed across four thematic streams indicate that HCI challenges are not confined to interface design but pervade all six themes, and argue that forestry represents a rich and underexplored application domain for human-centered computing research...

M. Ferati, Fisnik Dalipi, Zenun Kastrati et al. · 0 citations
#artificial intelligence Open access Nov 2024

AI Agentic Architectures for Autonomous Data Engineering Pipelines

This study delves into the notion of AI agentic architectures for autonomous data engineering pipelines and investigates the potential benefits of intelligent agents in enhancing automation, resilience, and decision-making processes in contemporary data ecosystems.

Harsh Verma · 0 citations
#artificial intelligence Open access Jun 2025

Economic impact and productivity modeling of AI agents

The paper provides a comprehensive analytical tool to make sense of micro and macro evidence, unpacks scenarios when AI agents will drive inclusive productivity growth, and outlines a policy roadmap focused on complementary investments, incentives for task-redesign, and workforce transition support measures.

Harsh Verma · 1 citation

From tech blogs

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MIT News · Artificial Intelligence Oct 28, 2026

3 Questions: Why infrastructure is entering a defining era

Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.

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