Results 201 to 210 of about 244,484 (266)

Artificial Intelligence in Dermatology: Current Applications and Future Directions

JEADV Clinical Practice, EarlyView.
This scoping review of 56 studies maps AI applications in dermatology. Image‐based classification for skin cancer detection dominates (48%), followed by clinical decision support (21%), teledermatology triage (11%), and predictive analytics (11%). While deep learning algorithms demonstrate diagnostic performance comparable to clinicians in controlled ...
Sofía Pérez‐Lalinde, Francisco Flores   +1 more
wiley   +1 more source

Invasive fungal infections after Bruton tyrosine kinase inhibitor treatment: a systematic review and meta-analysis. [PDF]

Blood Adv
Srisurapanont K, Meejun T, Manothummetha K, Li LX, Baddley JW, Schulz CA, Dioverti-Prono MV, Zhang SX, Avery RK, Kates OS, Permpalung N.   +10 more
europepmc   +1 more source

Harnessing random peptide mixtures to combat multidrug-resistant fungal infections. [PDF]

mBio
Adeoye J, Belo Y, Rocha MC, Hayby H, Israyilova A, Hayouka Z, Shlezinger N.   +6 more
europepmc   +1 more source

Machine learning model based on clinical and imaging features for predicting fungal infections in children with leukemia. [PDF]

BMC Pediatr
Ge P, Qian XS, He Y, Dai YK, Guo WL.
europepmc   +1 more source

Epidemiology and Outcomes of Extrapulmonary Invasive Fungal Infections After Kidney Transplantation in Northern India. [PDF]

Transpl Infect Dis
Abdullah, Kaul A, Marak R, Behera M, Prasad N, Patel M, Bhaduaria D, Kushwaha R, Yachha M, Mishra A.   +9 more
europepmc   +1 more source

A multimarker panel for diagnosis and prognosis prediction of fungal infections. [PDF]

Clin Exp Med
Lou Y, Yu F, Zhao Y, He J.
europepmc   +1 more source

Utility of Cytopathology in Diagnosing a Plethora of Fungal Infections.

J Cytol
Suneja P, Diwaker P, Agrawal A, Ranjan K, Sharma S, Arora VK, Rohatgi J, Singal A.   +7 more
europepmc   +1 more source