arXiv | 人工智能与医学：文献综述

类别

文献

Cardiopulmonary （心肺）

Computational repurposing of  therapeutic small molecules from cancer to pulmonary hypertension (Negi et al. 2021)

Dynamic detection and reversal of  myocardial ischemia using an artificially intelligent bioelectronic medicine (Ganzer et al. 2022)

COVID-19 Pandemic （新冠肺炎）

Artificial Intelligence and COVID-19:  deep learning approaches for diagnosis and treatment (Jamshidi et al. 2020)

COVID-19 Artificial Intelligence diagnosis  using only cough recordings (Laguarta et al. 2020)

Imaging Systems （成像系统）

Accurate auto-labeling of chest X-ray  images based on quantitative similarity to an explainable AI model (Kim et al. 2022a)

A fully automatic AI system for tooth  and alveolar bone segmentation from cone-beam CT images (Cui et al. 2022)

Deep-learning-based identification,  tracking, pose estimation and behaviour classification of interacting  primates and mice in complex environments (Marks  et al.
 2022)

Oncology （肿瘤学）

A perception-based nanosensor platform  to detect cancer biomarkers (Yaari et al. 2021)

Artificial intelligence for diagnosis  and Gleason grading of prostate cancer: the PANDA challenge (Bulten et al. 2022)

Brain tumor detection using  statistical and machine learning method (Amin  et al. 2019)

Detection of ovarian cancer via the  spectral fingerprinting of quantum-defect-modified carbon nanotubes in serum  by machine learning (Kim et al. 2022b)

Lung and pancreatic tumor  characterization in the deep
 learning era: novel supervised and unsupervised learning approaches (Hussein et al. 2019)

Machine learning analysis of DNA  methylation profiles distinguishes primary lung squamous cell carcinomas from  head and neck metastases (Jurmeister et al. 2019)

Metabolic detection and systems  analyses of pancreatic ductal adenocarcinoma through machine learning, lipidomics,  and multi-omics (Wang et al. 2021)

Morphological and molecular breast  cancer profiling through explainable machine learning (Binder et al. 2021)

Predicting and characterizing a cancer  dependency map of tumors with deep learning (Chiu  et al. 2021)

Predictions of cervical cancer  identification by photonic method combined with machine learning (Kruczkowski et al. 2022)

Toward robust mammography-based models  for breast cancer risk (Yala et al. 2021)

Tumor-specific cytolytic CD4 T cells  mediate immunity against human cancer (Cachot  et al. 2021)

Pathophysiology （病理生理学）

A machine learning approach for  somatic mutation discovery (Wood et al. 2018)

Fusion of fully integrated analog  machine learning classifier with electronic medical records for real-time  prediction of sepsis onset (Sadasivuni et al. 2022)

The human splicing code reveals new  insights into the genetic determinants of disease (Xiong et al. 2015)

Pharmaceutical （制药）

A machine learning approach to define  antimalarial drug action from heterogeneous cell-based screens (Ashdown et al. 2020)

Combining generative artificial  intelligence and onchip synthesis for de novo drug design (Grisoni et al. 2021)

Supervised learning model predicts  protein adsorption to carbon nanotubes (Ouassil  et al. 2022)

Systems biology and machine learning  approaches identify drug targets in diabetic nephropathy (Abedi et al. 2021)

Therapeutic （治疗）

Diving beetle–like miniaturized  plungers with reversible, rapid biofluid capturing for machine learning–based  care of skin disease (Baik et al. 2021)