Pathology

Latest AI and machine learning research in pathology for healthcare professionals.

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Development of machine learning models to predict papillary carcinoma in thyroid nodules: The role of immunological, radiologic, cytologic and radiomic features.

OBJECTIVE: Approximately 30 % of thyroid nodules yield an indeterminate diagnosis through convention...

(2)
Sep 2024 39305786
GC-WIR : 3D global coordinate attention wide inverted ResNet network for pulmonary nodules classification.

PURPOSE: Currently, deep learning methods for the classification of benign and malignant lung nodule...

Sep 2024 39304884
Deep learning applications in breast cancer histopathological imaging: diagnosis, treatment, and prognosis.

Breast cancer is the most common malignant tumor among women worldwide and remains one of the leadin...

(1)
Sep 2024 39304962
Retrosynthetic analysis via deep learning to improve pilomatricoma diagnoses.

BACKGROUND: Pilomatricoma, a benign childhood skin tumor, presents diagnostic challenges due to its ...

Sep 2024 39298885
Current status and prospects of breast cancer imaging-based diagnosis using artificial intelligence.

Breast imaging has several modalities, each unique in terms of its imaging position, evaluation inde...

Sep 2024 39297908
Nanorobot-Based Direct Implantation of Flexible Neural Electrode for BCI.

Brain-Computer Interface (BCI) has gained remarkable prominence in biomedical community. While BCI h...

Sep 2024 38913534
Text mining of verbal autopsy narratives to extract mortality causes and most prevalent diseases using natural language processing.

Verbal autopsy (VA) narratives play a crucial role in understanding and documenting the causes of mo...

(3)
Sep 2024 39298425
Mitigating off-target effects of small RNAs: conventional approaches, network theory and artificial intelligence.

Three types of highly promising small RNA therapeutics, namely, small interfering RNAs (siRNAs), mic...

(3)
Sep 2024 39293936
Human lung cancer classification and comprehensive analysis using different machine learning techniques.

Lung cancer is the most common causes of death among all cancer-related diseases. A lung scan examin...

(2)
Sep 2024 39295255
Identifying the habitat suitability of Pteris vittata in China and associated key drivers using machine learning models.

Pteris vittata (P. vittata) possesses significant potential in remediating arsenic (As) soil polluti...

(2)
Sep 2024 39304141
Breast Tumor Diagnosis Based on Molecular Learning Vector Quantization Neural Networks.

DNA nanotechnology plays a crucial role in precise cancer medicine. Currently, molecular logic circu...

Sep 2024 39290197
Leukemia detection and classification using computer-aided diagnosis system with falcon optimization algorithm and deep learning.

Leukemia is a type of blood tumour that occurs because of abnormal enhancement in WBCs (white blood ...

Sep 2024 39294306
Machine Learning-Driven discovery of immunogenic cell Death-Related biomarkers and molecular classification for diabetic ulcers.

In this study, we redefine the diagnostic landscape of diabetic ulcers (DUs), a major diabetes compl...

(3)
Sep 2024 39265844
Can the preoperative CT-based deep learning radiomics model predict histologic grade and prognosis of chondrosarcoma?

BACKGROUND AND PURPOSE: Computed tomography (CT) and biopsy may be insufficient for preoperative eva...

(2)
Sep 2024 39305748
From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology.

Hematoxylin- and eosin-stained whole-slide images (WSIs) are the foundation of diagnosis of cancer. ...

Sep 2024 39285224
Tissue-aware interpretation of genetic variants advances the etiology of rare diseases.

Pathogenic variants underlying Mendelian diseases often disrupt the normal physiology of a few tissu...

(1)
Sep 2024 39285047
Unveiling the risks of ChatGPT in diagnostic surgical pathology.

ChatGPT, an AI capable of processing and generating human-like language, has been studied in medical...

(2)
Sep 2024 39269615
Immunohistochemistry annotations enhance AI identification of lymphocytes and neutrophils in digitized H&E slides from inflammatory bowel disease.

BACKGROUND AND OBJECTIVE: Histologic assessment of the immune infiltrate in H&E slides is vital in d...

Sep 2024 39306985
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