Luca Maria Sconfienza

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

2024 · 307 Zit. · Radiology Artificial Intelligence

Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis

2023 · 93 Zit. · Artificial Intelligence in Medicine

CT and MRI radiomics of bone and soft-tissue sarcomas: a systematic review of reproducibility and validation strategies

2021 · 74 Zit. · Insights into Imaging

A computer-aided diagnosis system for the assessment and characterization of low-to-high suspicion thyroid nodules on ultrasound

2018 · 51 Zit. · La radiologia medica

As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI

2020 · 47 Zit. · BMC Medical Informatics and Decision Making

Studying human-AI collaboration protocols: the case of the Kasparov’s law in radiological double reading

2021 · 36 Zit. · Health Information Science and Systems

3D vs. 2D MRI radiomics in skeletal Ewing sarcoma: Feature reproducibility and preliminary machine learning analysis on neoadjuvant chemotherapy response prediction

2022 · 29 Zit. · Frontiers in Oncology

The Elephant in the Machine: Proposing a New Metric of Data Reliability and its Application to a Medical Case to Assess Classification Reliability

2020 · 27 Zit. · Applied Sciences

The use of artificial intelligence in musculoskeletal ultrasound: a systematic review of the literature

2024 · 17 Zit. · La radiologia medica

Automatic Diagnosis of Spinal Disorders on Radiographic Images: Leveraging Existing Unstructured Datasets With Natural Language Processing

2021 · 15 Zit. · Global Spine Journal

Predicting risk of metastases and recurrence in soft-tissue sarcomas via Radiomics and Formal Methods

2023 · 9 Zit. · JAMIA Open

Automated detection of bone lesions using CT and MRI: a systematic review

2024 · 8 Zit. · La radiologia medica

Deep learning in rib fracture imaging: study quality assessment using the Must AI Criteria-10 (MAIC-10) checklist for artificial intelligence in medical imaging

2025 · 2 Zit. · Insights into Imaging

Machine Learning to Predict In-Hospital Mortality in COVID-19 Patients Using Computed Tomography-Derived Pulmonary and Vascular Features

2022 · 0 Zit. · Zenodo (CERN European Organization for Nuclear Research)

Machine Learning to Predict In-Hospital Mortality in COVID-19 Patients Using Computed Tomography-Derived Pulmonary and Vascular Features

2022 · 0 Zit. · Zenodo (CERN European Organization for Nuclear Research)