Results 161 to 170 of about 31,354 (250)

Using Natural Language Processing Methods to Predict Topics Included in 2019 Ohio Syphilis Disease Intervention Specialist Records. [PDF]

Sex Transm Dis
Chakraborty P, Ning X, McNeill M, Kline DM, Shoben AB, Miller WC, Turner AN.   +6 more
europepmc   +1 more source

The Role of Artificial Intelligence in Modern Allergology: A Review of Applications in Diagnosis, Prediction, and Management

JEADV Clinical Practice, EarlyView.
ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig, Stephan Traidl, Sonja Mathes   +2 more
wiley   +1 more source

DERMACLEAR: AI‐Powered Insights Into Four Chronic Inflammatory Skin Diseases in Spain

JEADV Clinical Practice, EarlyView.
Using an AI‐enhanced analysis of electronic health records from nearly 50,000 patients, the DERMACLEAR study provides real‐world insights into the prevalence, clinical complexity, comorbidities and treatment patterns of HS, CU, PsO and AD in Spain.
Ana Giménez‐Arnau, Javier Ortiz de Frutos, Raquel Rivera‐Díaz, Lluís Puig, Jaume Notario Rosa, José Luis López‐Estebaranz, Vicente García‐Patos Briones, Ana Martín‐Santiago, José Ignacio Rojo‐Laguna, Elisabet Fernández‐Martínez, Lara Gómez‐Labrador, Esteban Daudén   +11 more
wiley   +1 more source

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

From patient notes to prognostication: The revolutionary potential of event‐based foundation models in orthopaedics

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract The integration of artificial intelligence (AI)‐equipped tools into electronic health record (EHR) platforms may drive the evolution of orthopaedic diagnosis and decision‐making, leveraging big data to generate precise and context‐aware insights.
Alexander M. Bouterse, James A. Pruneski, Felix C. Oettl, Bálint Zsidai, Umile Giuseppe Longo, Thomas Tischer, Michael T. Hirschmann, Kristian Samuelsson   +7 more
wiley   +1 more source

Economic Impact of a Deep Learning Algorithm for Automated Head and Neck Surgery Referral Triage

The Laryngoscope, EarlyView.
This prospective cost–benefit analysis evaluated a deep learning algorithm for automated referral triage across 214 new patient referrals at a high‐volume Head and Neck Surgical Oncology center operating under a fee‐for‐service model. The algorithm reduced referral triage labor by 98.5% (displacing 0.94 FTEs per division) and identified 80 verified ...
Stephanie Younan, Pearl Doan, Kevin Xin, Max L. Jiam, Patrick K. Ha, Katherine C. Wai, Nicole T. Jiam   +6 more
wiley   +1 more source

AI‐Driven Synthesis in Medicinal Chemistry: Integrating Large Language Models, Robotic Automation, and Sustainability Metrics to Accelerate Drug Discovery

Medicinal Research Reviews, EarlyView.
ABSTRACT Artificial intelligence (AI) is transforming synthetic chemistry from task‐specific predictors into integrated platforms that unify retrosynthesis, reaction optimization, and closed‐loop robotic automation. This review highlights how AI‐assisted planning and robotic execution shorten cycle times, reduce step counts, and improve route ...
Amit Gangwal, Antonio Lavecchia
wiley   +1 more source

Artificial Intelligence‐Driven Natural Product Drug Discovery: From Computational Genome Mining to Clinical Translation

Medicinal Research Reviews, EarlyView.
ABSTRACT Natural products (NPs) have historically yielded numerous therapeutic agents, yet their integration into modern drug discovery has been constrained by chemical complexity, low abundance, laborious dereplication, and limited target annotation.
Antonio Lavecchia
wiley   +1 more source

Multimodal artificial intelligence in medical biotechnology: Integrating genomics, imaging, and clinical data for precision therapeutics

Precision Medical Sciences, EarlyView.
Overview of multimodal artificial intelligence (AI) for precision therapeutics. Diverse biomedical data modalities, including multi‐omics, medical imaging, digital pathology, electronic health records, wearable‐device data, and molecular information, are integrated through multimodal AI frameworks incorporating fusion strategies, foundation models ...
Gedion Mengistu Dejen
wiley   +1 more source