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AI in medical practice: doctors’ perspective on the benefits, challenges and facilitators of artificial intelligence scribe use
AI in medical practice: doctors’ perspective on the benefits, challenges and facilitators of artificial intelligence scribe use
As artificial intelligence (AI) scribes become more common in clinical settings, understanding the human factors influenci...
Diagnosis of skin cancer using deep EfficientNet learning model
Diagnosis of skin cancer using deep EfficientNet learning model
Pore and skin cancer is one of the most harmful cancers. It should be diagnosed and treated early; to avoid unnecessary em...
DBT_DCNN: a new convolutional neural network for mass detection in digital breast tomosynthesis
DBT_DCNN: a new convolutional neural network for mass detection in digital breast tomosynthesis
We developed DeepLook, a CAD based on a CNN for the analysis of Digital Breast Tomosynthesis images to classify and locate...
Virtual reality in health sciences
Virtual reality in health sciences
Immersive technologies such as virtual reality (VR) are transforming health sciences through experiential learning and pat...
Age-specific insomnia detection models using short-time EOG and multiscale entropy analysis
Age-specific insomnia detection models using short-time EOG and multiscale entropy analysis
This study aimed to develop an efficient and practical approach for insomnia detection using single-channel electrooculogr...
Application of blendshapes in tracking oromotor movements in healthy adults
Application of blendshapes in tracking oromotor movements in healthy adults
Recent studies showed that face recognition technology can be applied in clinical diagnosis. Blendshapes are one of the te...
The Brazilian telehealth systems: a scoping review
The Brazilian telehealth systems: a scoping review
This study sought to answer the research question “What are the characteristics of telehealth systems already implem...
Biosensors for endocrine biomarkers detection in low-resource settings: a systematic review
Biosensors for endocrine biomarkers detection in low-resource settings: a systematic review
In low-resource settings many essential diagnostics for the detection of endocrine analytes are unavailable. This research...
Association between chronic disease, socioeconomic position and digital health literacy: a danish population-based survey
Association between chronic disease, socioeconomic position and digital health literacy: a danish population-based survey
There is social inequity in the distribution of digital health literacy (DHL), and patients with chronic disease have also...
A systematic literature review on transparency and interpretability of AI models in healthcare: taxonomies, tools, techniques, datasets, open research challenges, and future trends
A systematic literature review on transparency and interpretability of AI models in healthcare: taxonomies, tools, techniques, datasets, open research challenges, and future trends
This paper presents a systematic literature review on the disruptive health and biomedical informatics technologies such a...
Automatic segmentation based watermarking technique for medical images in e-healthcare
Automatic segmentation based watermarking technique for medical images in e-healthcare
The digital revolution has plunged every facet of human lives. The unrestrained data breaches in the healthcare sector rai...
Copyright protection and tamper detection in medical images via a dual watermark scheme
Copyright protection and tamper detection in medical images via a dual watermark scheme
Medical images stored in the DICOM format are highly vulnerable once they leave secure healthcare environments, exposing s...
A counterfactual inference framework for Parkinson’s disease diagnosis: uncovering the causal role of phonation onset in speech
A counterfactual inference framework for Parkinson’s disease diagnosis: uncovering the causal role of phonation onset in speech
Current deep learning approaches for Parkinson's Disease (PD) diagnosis lack causal interpretability, limiting clinica...
Comparison of detectability index between advanced model observer (AMO) and human observer (HO) measurements on CT images
Comparison of detectability index between advanced model observer (AMO) and human observer (HO) measurements on CT images
This study aimed to compare the detectability index (d') between human observer (HO) measurements using the 2-alternat...
Assessing the optimal safety margin using adaptive radiotherapy framework
Assessing the optimal safety margin using adaptive radiotherapy framework
To develop a novel methodology for planning target volume (PTV) margin determination by analysing minimum coverage probabi...
Explainable machine learning for cancer patient segmentation and hospital resource optimization in oncology care
Explainable machine learning for cancer patient segmentation and hospital resource optimization in oncology care
Cancer imposes a growing burden on health systems, particularly in middle-income countries where fragmented services limit...
Unifying the odyssey: artificial intelligence for rare disease diagnosis and therapy
Unifying the odyssey: artificial intelligence for rare disease diagnosis and therapy
To summarize current challenges in rare disease (RD) diagnosis and therapy, highlight recent advances in artificial intell...
Development of a classification and decision-making workflow for seismic retrofitting modes of hospital medical equipment: the case of Taiwan
Development of a classification and decision-making workflow for seismic retrofitting modes of hospital medical equipment: the case of Taiwan
Hospitals play a pivotal role in disaster response; however, operational continuity is frequently compromised by earthquak...
From data to diagnosis: harnessing personal genomics for precision healthcare
From data to diagnosis: harnessing personal genomics for precision healthcare
The rapid evolution of next-generation sequencing (NGS) technologies has significantly reduced the cost of genome sequenci...
Performance testing of dose calibrator and SPECT imaging system in use at a nuclear medicine department
Performance testing of dose calibrator and SPECT imaging system in use at a nuclear medicine department
Single Photon Emission Computed Tomography (SPECT) is a nuclear medicine imaging technique that allows for the three-dimen...
The Estimation of the accuracy of surface-guided radiotherapy with breast deformation
The Estimation of the accuracy of surface-guided radiotherapy with breast deformation
Breast edema is the most commonly observed toxicity during radiotherapy treatment. The advantage of surface-guided radioth...
A comparative analysis of YOLO models for efficient lung tumor detection using CT images
A comparative analysis of YOLO models for efficient lung tumor detection using CT images
Lung cancer remains one of the leading causes of cancer-related deaths, emphasizing the need for precise and effective det...
Telehealth strategies and emergency department demand: a scoping review
Telehealth strategies and emergency department demand: a scoping review
Emergency department (ED) overcrowding is a global challenge exacerbated by rising patient demand and inefficient care pat...
Forecast trend of artificial intelligence and machine learning technology: prospects and implications in the field of gastrointestinal endoscopy
Forecast trend of artificial intelligence and machine learning technology: prospects and implications in the field of gastrointestinal endoscopy
Artificial intelligence and machine learning have been introduced in the medical field for diagnostic and therapeutic purp...
Efficacy of different high dose rate interstitial brachytherapy for tongue cancer: a systematic review
Efficacy of different high dose rate interstitial brachytherapy for tongue cancer: a systematic review
The study evaluates treatment outcomes of oral tongue cancer patients treated with different high dose rate brachytherapy ...
Dosimetric comparison of the BNCT treatment planning performances when using a nnU-NET to automatically segment Glioblastoma Multiforme
Dosimetric comparison of the BNCT treatment planning performances when using a nnU-NET to automatically segment Glioblastoma Multiforme
This work presents a preliminary evaluation of the use of the convolutional neural network nnU-NET to automatically contou...
Advances of artificial intelligence-enabled epigenetics
Advances of artificial intelligence-enabled epigenetics
This review explores the integration of artificial intelligence (AI) with epigenetics to advance understanding of gene exp...
Accurate voxel S-value calculation for internal dosimetry of 68Ga-PSMA: comparison of XCAT phantom and personalized methods
Accurate voxel S-value calculation for internal dosimetry of 68Ga-PSMA: comparison of XCAT phantom and personalized methods
68Ga-PSMA PET/CT is widely used for prostate cancer management, but minimizing patient radiation exposure remains a key co...
Digital nudging in digital health technologies: a systematic review
Digital nudging in digital health technologies: a systematic review
The use of digital health technologies (DHT) combined with digital nudging is rapidly growing. Digital nudges have the pot...
Leveraging digital technologies to enhance patient safety
Leveraging digital technologies to enhance patient safety
This study aims to examine how digital technologies can be safely and effectively integrated into clinical practice to enh...
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