Latest AI and machine learning research in primary care for healthcare professionals.
Background Breast screening enables early detection of cancers; however, most women have normal mammograms, resulting in repetitive and resource-intensive reading tasks. Purpose To investigate if deep learning (DL) algorithms can be used to triage mammograms by identifying normal results to reduce workload or flag cancers that may be overlooked. Materials and Methods In this retrospective study, t...
The role of Artificial Intelligence (AI) in medical science is growing immensely. Since AI contains features that can address both preventive and ther...
: To study the efficacy of pulse methylprednisolone (MPS) therapy in patients with malaria-associated acute respiratory distress syndrome (ARDS). : Th...
Early diagnosis of Type 2 Diabetes Mellitus (T2DM) is crucial to enable timely therapeutic interventions and lifestyle modifications. As the time avai...
Advancing our understanding of complex diseases necessitates an interdisciplinary dialogue beyond artificial intelligence (AI) in the field of medicin...
Background Access to supplemental screening breast MRI is determined using traditional risk models, which are limited by modest predictive accuracy. P...
With the enhancement of aesthetic awareness of children's oral maxillofacial development, multi-disciplinary doctors pay attention to children's oral ...
The antibodies directed against human leukocyte antigen (HLA) molecules, which play a crucial role in allograft histocompatibility, are called anti-HL...
Atypical ductal hyperplasia (ADH) and ductal carcinoma in situ (DCIS) are relatively common breast lesions on the same spectrum of disease. Atypical d...
Fatty liver disease has a high and increasing prevalence worldwide, is associated with adverse cardiovascular events and higher long-term medical cost...
COPD exacerbations are associated with significant morbidity, mortality, and increased health care expenditures. The recently published Global Initiat...
Early detection of glaucoma, a widespread visual disease, can prevent vision loss. Unfortunately, ophthalmologists are scarce and clinical diagnosis r...
Kawasaki disease (KD) is a leading cause of acquired heart disease in children and is characterized by the presence of a combination of five clinical ...
With commercialization of deep learning models, daily precision dietary record based on images from smartphones becomes possible. This study took adva...
Breast cancer is one of the most prevalent cancers among women. It is the second leading cause of death in cancer-related deaths. Early detection and ...
The growing accessibility of large health datasets and AI's ability to analyze them offers significant potential to transform public health and epidem...
Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder that affects a significant portion of the global population. Artificial intelligence (...
Systematic reviews (SRs) are essential tools for synthesising the available scientific evidence on a given topic, and in some healthcare fields they r...
In this short communication paper, we present the results we achieved for automated calorie intake measurement for patients with obesity or eating dis...