[HTML][HTML] Machine learning application in autoimmune diseases: State of art and future prospectives

MG Danieli, S Brunetto, L Gammeri, D Palmeri… - Autoimmunity …, 2024 - Elsevier
Autoimmune diseases are a group of disorders resulting from an alteration of immune
tolerance, characterized by the formation of autoantibodies and the consequent …

Artificial intelligence-assisted smartphone-based sensing for bioanalytical applications: A review

Y Yang, F Xu, J Chen, C Tao, Y Li, Q Chen… - Biosensors and …, 2023 - Elsevier
Artificial intelligence (AI) has received great attention since the concept was proposed, and it
has developed rapidly in recent years with applications in many fields. Meanwhile, newer …

Guideline for the diagnosis, treatment and long-term management of cutaneous lupus erythematosus

Q Lu, H Long, S Chow, S Hidayat, R Danarti… - Journal of …, 2021 - Elsevier
Cutaneous lupus erythematosus (CLE) is an inflammatory, autoimmune disease
encompassing a broad spectrum of subtypes including acute, subacute, chronic and …

Digital health, big data and smart technologies for the care of patients with systemic autoimmune diseases: where do we stand?

H Bergier, L Duron, C Sordet, L Kawka… - Autoimmunity …, 2021 - Elsevier
The past decade has seen tremendous development in digital health, including in innovative
new technologies such as Electronic Health Records, telemedicine, virtual visits, wearable …

Image classification and auxiliary diagnosis system for hyperpigmented skin diseases based on deep learning

J Lu, X Tong, H Wu, Y Liu, H Ouyang, Q Zeng - Heliyon, 2023 - cell.com
Background and aim Melasma (ML), naevus fusco-caeruleus zygomaticus (NZ), freckles
(FC), cafe-au-lait spots (CS), nevus of ota (NO), and lentigo simplex (LS), are common skin …

[HTML][HTML] Build-in sensors and analysis algorithms aided smartphone-based sensors for point-of-care tests

Y **a, J Hu, S Zhao, L Tao, Z Li, T Yue… - … and Bioelectronics: X, 2022 - Elsevier
Over the last few years, smartphone-based sensors present a rapid development in the field
of point-of-care (POC) testing owing to the properties of ubiquity and convenience …

A deep learning based smartphone application for early detection of nasopharyngeal carcinoma using endoscopic images

Y Yue, X Zeng, H Lin, J Xu, F Zhang, KL Zhou, L Li… - npj Digital …, 2024 - nature.com
Nasal endoscopy is crucial for the early detection of nasopharyngeal carcinoma (NPC), but
its accuracy relies heavily on the clinician's expertise, posing challenges for primary …

Human‐multimodal deep learning collaboration in 'precise'diagnosis of lupus erythematosus subtypes and similar skin diseases

Q Li, Z Yang, K Chen, M Zhao, H Long… - Journal of the …, 2024 - Wiley Online Library
Background Lupus erythematosus (LE) is a spectrum of autoimmune diseases. Due to the
complexity of cutaneous LE (CLE), clinical skin image‐based artificial intelligence is still …

Recent advances in the use of machine learning and artificial intelligence to improve diagnosis, predict flares, and enrich clinical trials in lupus

KM Kingsmore, PE Lipsky - Current Opinion in Rheumatology, 2022 - journals.lww.com
Recent advances in the use of machine learning and artificia... : Current Opinion in
Rheumatology Recent advances in the use of machine learning and artificial intelligence to …

Expert Consensus on Big Data Collection of Skin and Appendage Disease Phenotypes in Chinese

S Zhao, Z Luo, Y Wang, X Gao, J Tao, Y Cui, A Chen… - Phenomics, 2024 - Springer
The collection of big data on skin and appendage phenotypes has revolutionized the field of
personalized diagnosis and treatment by enabling the evaluation of individual …