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- surveyMay 2024JUST ACCEPTED
A Unified Review of Deep Learning for Automated Medical Coding
- Shaoxiong Ji,
- Xiaobo Li,
- Wei Sun,
- Hang Dong,
- Ara Taalas,
- Yijia Zhang,
- Honghan Wu,
- Esa Pitkänen,
- Pekka Marttinen
Automated medical coding, an essential task for healthcare operation and delivery, makes unstructured data manageable by predicting medical codes from clinical documents. Recent advances in deep learning and natural language processing have been widely ...
- surveyApril 2024
Computational Techniques in PET/CT Image Processing for Breast Cancer: A Systematic Mapping Review
ACM Computing Surveys (CSUR), Volume 56, Issue 8Article No.: 197, Pages 1–38https://doi.org/10.1145/3648359The problem arises from the lack of sufficient and comprehensive information about the necessary computer techniques. These techniques are crucial for developing information systems that assist doctors in diagnosing breast cancer, especially those related ...
- surveyApril 2024
Non-invasive Techniques for Muscle Fatigue Monitoring: A Comprehensive Survey
ACM Computing Surveys (CSUR), Volume 56, Issue 9Article No.: 221, Pages 1–40https://doi.org/10.1145/3648679Muscle fatigue represents a complex physiological and psychological phenomenon that impairs physical performance and increases the risks of injury. It is important to continuously monitor fatigue levels for early detection and management of fatigue. The ...
- surveyFebruary 2024
Survey on Recommender Systems for Biomedical Items in Life and Health Sciences
ACM Computing Surveys (CSUR), Volume 56, Issue 6Article No.: 149, Pages 1–32https://doi.org/10.1145/3639047The generation of biomedical data is of such magnitude that its retrieval and analysis have posed several challenges. A survey of recommender system (RS) approaches in biomedical fields is provided in this analysis, along with a discussion of existing ...
- surveyJanuary 2024
A Survey of Generative Adversarial Networks for Synthesizing Structured Electronic Health Records
ACM Computing Surveys (CSUR), Volume 56, Issue 6Article No.: 147, Pages 1–34https://doi.org/10.1145/3636424Electronic Health Records (EHRs) are a valuable asset to facilitate clinical research and point of care applications; however, many challenges such as data privacy concerns impede its optimal utilization. Deep generative models, particularly Generative ...
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- surveyNovember 2023
Diffusion Models: A Comprehensive Survey of Methods and Applications
- Ling Yang,
- Zhilong Zhang,
- Yang Song,
- Shenda Hong,
- Runsheng Xu,
- Yue Zhao,
- Wentao Zhang,
- Bin Cui,
- Ming-Hsuan Yang
ACM Computing Surveys (CSUR), Volume 56, Issue 4Article No.: 105, Pages 1–39https://doi.org/10.1145/3626235Diffusion models have emerged as a powerful new family of deep generative models with record-breaking performance in many applications, including image synthesis, video generation, and molecule design. In this survey, we provide an overview of the rapidly ...
- surveyOctober 2023
Explainable Deep Learning Methods in Medical Image Classification: A Survey
ACM Computing Surveys (CSUR), Volume 56, Issue 4Article No.: 85, Pages 1–41https://doi.org/10.1145/3625287The remarkable success of deep learning has prompted interest in its application to medical imaging diagnosis. Even though state-of-the-art deep learning models have achieved human-level accuracy on the classification of different types of medical data, ...
- surveyOctober 2023
Cross-modality Neuroimage Synthesis: A Survey
ACM Computing Surveys (CSUR), Volume 56, Issue 3Article No.: 80, Pages 1–28https://doi.org/10.1145/3625227Multi-modality imaging improves disease diagnosis and reveals distinct deviations in tissues with anatomical properties. The existence of completely aligned and paired multi-modality neuroimaging data has proved its effectiveness in brain research. ...
- surveySeptember 2023
Bias in Reinforcement Learning: A Review in Healthcare Applications
ACM Computing Surveys (CSUR), Volume 56, Issue 2Article No.: 52, Pages 1–17https://doi.org/10.1145/3609502Reinforcement learning (RL) can assist in medical decision making using patient data collected in electronic health record (EHR) systems. RL, a type of machine learning, can use these data to develop treatment policies. However, RL models are typically ...
- surveyAugust 2023
Sensor-Based Locomotion Data Mining for Supporting the Diagnosis of Neurodegenerative Disorders: A Survey
ACM Computing Surveys (CSUR), Volume 56, Issue 1Article No.: 10, Pages 1–36https://doi.org/10.1145/3603495Locomotion characteristics and movement patterns are reliable indicators of neurodegenerative diseases (NDDs). This survey provides a systematic literature review of locomotion data mining systems for supporting NDD diagnosis. We discuss techniques for ...
- surveyJuly 2023
A Survey of Threats to Research Literature-dependent Medical AI Solutions
ACM Computing Surveys (CSUR), Volume 55, Issue 14sArticle No.: 315, Pages 1–26https://doi.org/10.1145/3592597Medical Artificial Intelligence (MedAI) harnesses the power of medical research through AI algorithms and vast data to address healthcare challenges. The security, integrity, and credibility of MedAI tools are paramount, because human lives are at stake. ...
- surveyMarch 2023
A Comprehensive Review of the State-of-the-Art on Security and Privacy Issues in Healthcare
ACM Computing Surveys (CSUR), Volume 55, Issue 12Article No.: 249, Pages 1–38https://doi.org/10.1145/3571156Currently, healthcare is critical environment in our society, which attracts attention to malicious activities and has caused an important number of damaging attacks. In parallel, the recent advancements in technologies, computing systems, and wireless ...
- surveyMarch 2023
Cancer Prognosis and Diagnosis Methods Based on Ensemble Learning
ACM Computing Surveys (CSUR), Volume 55, Issue 12Article No.: 262, Pages 1–34https://doi.org/10.1145/3580218Ensemble methods try to improve performance via integrating different kinds of input data, features, or learning algorithms. In addition to other areas, they are finding their applications in cancer prognosis and diagnosis. However, in this area, the ...
- surveyMarch 2023
Deep Learning Techniques for COVID-19 Diagnosis and Prognosis Based on Radiological Imaging
ACM Computing Surveys (CSUR), Volume 55, Issue 12Article No.: 260, Pages 1–39https://doi.org/10.1145/3576898This literature review summarizes the current deep learning methods developed by the medical imaging AI research community that have been focused on resolving lung imaging problems related to coronavirus disease 2019 (COVID-19). COVID-19 shares many of ...
- surveyJanuary 2023
Camera Measurement of Physiological Vital Signs
ACM Computing Surveys (CSUR), Volume 55, Issue 9Article No.: 176, Pages 1–40https://doi.org/10.1145/3558518The need for remote tools for healthcare monitoring has never been more apparent. Camera measurement of vital signs leverages imaging devices to compute physiological changes by analyzing images of the human body. Building on advances in optics, machine ...
- surveyDecember 2022
Formal Concept Analysis Applications in Bioinformatics
ACM Computing Surveys (CSUR), Volume 55, Issue 8Article No.: 168, Pages 1–40https://doi.org/10.1145/3554728The bioinformatics discipline seeks to solve problems in biology with computational theories and methods. Formal concept analysis (FCA) is one such theoretical model, based on partial orders. FCA allows the user to examine the structural properties of ...
- surveyDecember 2022
A Survey on Data-driven COVID-19 and Future Pandemic Management
- Yudong Tao,
- Chuang Yang,
- Tianyi Wang,
- Erik Coltey,
- Yanxiu Jin,
- Yinghao Liu,
- Renhe Jiang,
- Zipei Fan,
- Xuan Song,
- Ryosuke Shibasaki,
- Shu-Ching Chen,
- Mei-Ling Shyu,
- Steven Luis
ACM Computing Surveys (CSUR), Volume 55, Issue 7Article No.: 141, Pages 1–36https://doi.org/10.1145/3542818The COVID-19 pandemic has resulted in more than 440 million confirmed cases globally and almost 6 million reported deaths as of March 2022. Consequently, the world experienced grave repercussions to citizens’ lives, health, wellness, and the economy. In ...
- surveyDecember 2022
Automatic Performance Assessment in Three-dimensional Interactive Haptic Medical Simulators: A Systematic Review
ACM Computing Surveys (CSUR), Volume 55, Issue 7Article No.: 131, Pages 1–35https://doi.org/10.1145/3539222This study presents a literature systematic review of automatic performance assessment in three-dimensional interactive medical and dental simulators with haptic feedback, resulting in 63 included articles. The main contributions regard analysis and ...
- surveyDecember 2022
Human Movement Datasets: An Interdisciplinary Scoping Review
- Temitayo Olugbade,
- Marta Bieńkiewicz,
- Giulia Barbareschi,
- Vincenzo D’amato,
- Luca Oneto,
- Antonio Camurri,
- Catherine Holloway,
- Mårten Björkman,
- Peter Keller,
- Martin Clayton,
- Amanda C De C Williams,
- Nicolas Gold,
- Cristina Becchio,
- Benoît Bardy,
- Nadia Bianchi-Berthouze
ACM Computing Surveys (CSUR), Volume 55, Issue 6Article No.: 126, Pages 1–29https://doi.org/10.1145/3534970Movement dataset reviews exist but are limited in coverage, both in terms of size and research discipline. While topic-specific reviews clearly have their merit, it is critical to have a comprehensive overview based on a systematic survey across ...
- surveySeptember 2022
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images
- Pablo Messina,
- Pablo Pino,
- Denis Parra,
- Alvaro Soto,
- Cecilia Besa,
- Sergio Uribe,
- Marcelo Andía,
- Cristian Tejos,
- Claudia Prieto,
- Daniel Capurro
ACM Computing Surveys (CSUR), Volume 54, Issue 10sArticle No.: 203, Pages 1–40https://doi.org/10.1145/3522747Every year physicians face an increasing demand of image-based diagnosis from patients, a problem that can be addressed with recent artificial intelligence methods. In this context, we survey works in the area of automatic report generation from medical ...