St. Helena Hospital

The present and future of deep learning in radiology

Luca Saba, Mainak Biswas, Venkatanareshbabu Kuppili et al.

2019 · 336 Zit.

Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment

Narendra N. Khanna, Mahesh Maindarkar, Vijay Viswanathan et al.

2022 · 316 Zit.

Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review

Manasvi Singh, Ashish Kumar, Narendra N. Khanna et al.

2024 · 119 Zit.

Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review

Jasjit S. Suri, Mrinalini Bhagawati, Sudip Paul et al.

2022 · 81 Zit.

Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs

Luca Saba, Mohit Agarwal, Anubhav Patrick et al.

2021 · 64 Zit.

Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review

Archana Bathula, Suneet Kumar Gupta, M. Suresh et al.

2024 · 62 Zit.

COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans

Jasjit S. Suri, Sushant Agarwal, Gian Luca Chabert et al.

2022 · 58 Zit.

Artificial intelligence bias in medical system designs: a systematic review

Ashish Kumar, Vivekanand Aelgani, Rubeena Vohra et al.

2023 · 54 Zit.

Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence

Jasjit S. Suri, Anudeep Puvvula, Misha Majhail et al.

2020 · 36 Zit.

A Pharmaceutical Paradigm for Cardiovascular Composite Risk Assessment Using Novel Radiogenomics Risk Predictors in Precision Explainable Artificial Intelligence Framework: Clinical Trial Tool

Luca Saba, Mahesh Maindarkar, Narendra N. Khanna et al.

2023 · 13 Zit.

Personalized Medicine for Cardiovascular Disease Risk in Artificial Intelligence Framework

Manasvi Singh, Ashish Kumar, Narendra N. Khanna et al.

2023 · 5 Zit.

The Digital Shift: Assessing ChatGPT’s Capability as a New Age Standardized Patient. (Preprint)

Joseph Cross, Tarron Kayalackakom, Raymond Robinson et al.

2024 · 0 Zit.

Impact of Artificial Intelligence and Human Factors in Hybrid Intelligence Dentistry

Diana Pavlova, Tihomir Dovramadjiev, Dimo Daskalov et al.

2024 · 0 Zit.