期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2023; 135 ()
Mitotic count (MC) is an important histological parameter for cancer diagnosis and grading, but the manual process for obtaining MC from whole-slide h......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2023; 138 ()
Bacterial resistance to antibiotics has been rapidly increasing, resulting in low antibiotic effectiveness even treating common infections. The presen......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2023; 144 ()
Trauma is the leading cause of death in adults under the age of 45 and the fourth leading cause of death in the United States. Effective delivery of t......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2023; 145 ()
Combining domain knowledge (DK) and machine learning is a recent research stream to overcome multiple issues like limited explainability, lack of data......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2023; 145 ()
Drug repurposing has gained the attention of many in the recent years. The practice of repurposing existing drugs for new therapeutic uses helps to si......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2023; 146 ()
Heart disease accounts for millions of deaths worldwide annually, representing a major public health concern. Large-scale heart disease screening can ......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2023; 140 ()
Purpose: Automated diagnosis and prognosis of Alzheimer's Disease remain a challenging problem that machine learning (ML) techniques have attempted to......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2023; 140 ()
Significant difficulties in medical image segmentation include the high variability of images caused by their origin (multi-center), the acquisition p......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2023; 143 ()
Malignant Mesothelioma is a difficult to diagnose and highly lethal cancer usually associated with asbestos exposure. It can be broadly classified int......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2023; 144 ()
Amyloid positivity is an early indicator of Alzheimer's disease and is necessary to determine the disease. In this study, a deep generative model is u......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2023; 136 ()
Background: Most previous studies make psychiatric diagnoses based on diagnostic terms. In this study we sought to augment Diagnostic and Statistical ......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2023; 137 ()
Medical experts may use Artificial Intelligence (AI) systems with greater trust if these are supported by 'contextual explanations' that let the pract......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2023; 141 ()
Machine learning (ML) for diagnosis of thyroid nodules on ultrasound is an active area of research. However, ML tools require large, well-labeled data......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2023; 143 ()
Civil registration and vital statistics systems capture birth and death events to compile vital statistics and to provide legal rights to citizens. Vi......
期刊： ARTIFICIAL INTELLIGENCE IN MEDICINE, 2023; 144 ()
In this paper, we propose a holistic AI-based pharmacovigilance optimization approach using patient's social media data. Instead of focusing on the de......
