Marco Cascella

Associate Professor

University of Salerno

Italy

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About

Marco Cascella is an Associate Professor at the University of Salerno, Italy. His research focuses on the intersection of artificial intelligence and medical practice, particularly in pain management and surgical outcomes. His recent articles include studies on AI-powered patient communication, the implications of immunotherapy in cancer pain, and strategies for optimizing antibiotic use. Dr. Cascella's work aims to enhance diagnostic and therapeutic approaches through innovative technological integration.

Articles (20)

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2025

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2023

Collaborators (6)

Maria Romano

University of Naples Federico II

ITALY

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Francesco Sabbatino

Assistant professor in Oncology

Università degli Studi di Napoli Federico II

ITALY

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Francesco Amato

University of Naples Federico II

ITALY

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Alfonso Maria Ponsiglione

ITALY

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Maurizio Marchesini

Fondazione IRCCS Istituto Nazionale dei Tumori

ITALY

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GIORGIO IACONETTA

Professor

University of Salerno

ITALY

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Marco Cascella

Research Interests

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Articles (20)

Integrative Diagnostic and Prognostic Paradigms in Diffuse Axonal Injury: Insights from Clinical, Histopathological, Biomolecular, Radiological, and AI-Based Perspectives

Assessing Artificial Intelligence-Powered Responses to Common Patient Questions on Radiofrequency Ablation and Cryoanalgesia for Chronic Pain

Last‐Minute Cancellations in Pediatric Ambulatory and Day Surgeries in Italy: Prevalence and Risk Factors

Effectiveness of Generative Artificial Intelligence-Driven Responses to Patient Concerns in Long-Term Opioid Therapy: Cross-Model Assessment

Pediatric Anesthesia: The Essential Value of a Well-Supported Clinic

Reliability, Accuracy, and Comprehensibility of AI-Based Responses to Common Patient Questions Regarding Spinal Cord Stimulation

Artificial Intelligence-Driven Diagnostic Processes and Comprehensive Multimodal Models in Pain Medicine

Recent Advances and Perspectives in Anesthesiology: Towards Artificial Intelligence-Based Applications

Artificial Intelligence and Pain Medicine: an Introduction [Letter]

Emerging treatment approaches for triple-negative breast cancer

Dissecting the link between PD-1/PD-L1-based immunotherapy and cancer pain: mechanisms, research implications, and artificial intelligence perspectives

Optimizing Antibiotic Use: Addressing Resistance Through Effective Strategies and Health Policies

Assessing the Efficacy and Safety of Extubation Protocols in the Intensive Care Unit Following Transoral Robotic Surgery for Obstructive Sleep Apnea Syndrome: A Retrospective Cohort Study

Neoadjuvant Immunotherapy in Head and Neck Cancers: A Paradigm Shift in Treatment Approach

BRAF p.V600E mutation as a molecular boundary between genuine oligo-repeated and poly-metastatic disease in colorectal cancer

Exploring Biosignals for Quantitative Pain Assessment in Cancer Patients: A Proof of Concept

Evaluating Nutritional Risk Factors for Delirium in Intensive-Care-Unit Patients: Present Insights and Prospects for Future Research

Prior Anti-Angiogenic TKI-Based Treatment as Potential Predisposing Factor to Nivolumab-Mediated Recurrent Thyroid Disorder Adverse Events in mRCC Patients: A Case Series

Editorial to the Special Issue: “Recent Advances in the Management of Chronic Pain”

Envisioning gamification in anesthesia, pain management, and critical care: basic principles, integration of artificial intelligence, and simulation strategies

Collaborators (6)

Maria Romano

Francesco Sabbatino

Francesco Amato

Alfonso Maria Ponsiglione

Maurizio Marchesini

GIORGIO IACONETTA

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