Lack of transparency and potential bias in artificial intelligence data sets and algorithms: a scoping review
R Daneshjou, MP Smith, MD Sun… - JAMA …, 2021 - jamanetwork.com
Importance Clinical artificial intelligence (AI) algorithms have the potential to improve clinical
care, but fair, generalizable algorithms depend on the clinical data on which they are trained …
care, but fair, generalizable algorithms depend on the clinical data on which they are trained …
Machine learning and deep learning methods for skin lesion classification and diagnosis: a systematic review
Computer-aided systems for skin lesion diagnosis is a growing area of research. Recently,
researchers have shown an increasing interest in developing computer-aided diagnosis …
researchers have shown an increasing interest in developing computer-aided diagnosis …
Clinical practice guidelines by the Infectious Diseases Society of America (IDSA), American Academy of Neurology (AAN), and American College of Rheumatology …
PM Lantos, J Rumbaugh… - Clinical Infectious …, 2021 - academic.oup.com
This evidence-based clinical practice guideline for the prevention, diagnosis, and treatment
of Lyme disease was developed by a multidisciplinary panel representing the Infectious …
of Lyme disease was developed by a multidisciplinary panel representing the Infectious …
Diagnosis of monkeypox disease using transfer learning and binary advanced dipper throated optimization algorithm
The virus that causes monkeypox has been observed in Africa for several years, and it has
been linked to the development of skin lesions. Public panic and anxiety have resulted from …
been linked to the development of skin lesions. Public panic and anxiety have resulted from …
Monkeypox detection using CNN with transfer learning
Monkeypox disease is caused by a virus that causes lesions on the skin and has been
observed on the African continent in the past years. The fatal consequences caused by virus …
observed on the African continent in the past years. The fatal consequences caused by virus …
Utilizing convolutional neural networks to classify monkeypox skin lesions
Monkeypox is a rare viral disease that can cause severe illness in humans, presenting with
skin lesions and rashes. However, accurately diagnosing monkeypox based on visual …
skin lesions and rashes. However, accurately diagnosing monkeypox based on visual …
Recent progress in Lyme disease and remaining challenges
Lyme disease (also known as Lyme borreliosis) is the most common vector-borne disease in
the United States with an estimated 476,000 cases per year. While historically, the long-term …
the United States with an estimated 476,000 cases per year. While historically, the long-term …
Artificial intelligence techniques for predictive modeling of vector-borne diseases and its pathogens: a systematic review
Vector-borne diseases (VBDs) have a significant impact on human and animal health. VBD
has been emerging or re-emerging in a variety of geographic regions, raising alarming new …
has been emerging or re-emerging in a variety of geographic regions, raising alarming new …
Multimodal medical image fusion via laplacian pyramid and convolutional neural network reconstruction with local gradient energy strategy
J Fu, W Li, J Du, B Xiao - Computers in Biology and Medicine, 2020 - Elsevier
Background In recent years, numerous fusion algorithms have been proposed for
multimodal medical images. The Laplacian pyramid is one type of multiscale fusion method …
multimodal medical images. The Laplacian pyramid is one type of multiscale fusion method …
Fungal infections
RJ Hay - Clinics in dermatology, 2006 - Elsevier
Tropical mycoses vary from the commonplace to the rare and exotic but they are seen
regularly even as imported conditions and it is important to consider the diagnosis, where …
regularly even as imported conditions and it is important to consider the diagnosis, where …