Startups Driving Artificial Intelligence Into Clinical Dermatology
ABSTRACT Artificial intelligence (AI) is rapidly transitioning from innovation to routine clinical application in dermatology. This review examines how AI‐enabled technologies are being developed and integrated across diverse clinical purposes and workflows.
Dominique Du Crest +10 more
wiley +1 more source
A hybrid deep fuzzy clustering framework with fusion-based learning for robust SAR change detection. [PDF]
Ghosh C, Majumdar D, Mondal B.
europepmc +1 more source
Parallel Multi‐Target Detection for Quantum LiDAR
Parallel multi‐target detection is achieved in quantum LiDAR with a single‐pixel quantum readout. Direction and distance information are extracted together, allowing multiple objects to be distinguished under noisy low‐light conditions and pointing to a new strategy for scan‐free quantum remote sensing.
Junyeop Kim +4 more
wiley +1 more source
HDCI Net for interpretable cross domain intrusion detection in 6G IoT and critical infrastructure networks. [PDF]
Qashlan A.
europepmc +1 more source
Calibration‐Free Single‐Frame Super‐Resolution Fluorescence Microscopy
A deep learning framework reconstructs super‐resolved fluorescence images from a single dense camera frame, without any prior calibration or knowledge of the microscope. Trained solely on synthetic data, it generalizes across imaging setups and conditions.
Anežka Dostálová +3 more
wiley +1 more source
A hybrid intelligent model that performs product evaluation via semantic mining and optimized decision processing. [PDF]
Wu D, Jiang X, Hu Y, Li K.
europepmc +1 more source
A Causality-Informed Correlation-Aware Health-State Assessment for Complex Equipment. [PDF]
Li W, Feng Z, Sun Y, Zhang X.
europepmc +1 more source
Uncertain tourist expressions and data-driven perceived destination image construction: a probabilistic linguistic and multi-criteria decision framework. [PDF]
Qin Y, Zhao X, Wang L.
europepmc +1 more source
ISPAD, bridging clinical expertise and AI for autoimmune-related pernicious anemia diagnosis. [PDF]
Boumela N, Cadiot G, Chaoui F.
europepmc +1 more source
A low light video enhancement using interval valued intuitionistic fuzzy set with HVI space. [PDF]
Manivasagan M, Jagatheswari S.
europepmc +1 more source

