Microdosimetry in BNCT
ConclusionsThis paper underscores the pivotal role of microdosimetry in BNCT, emphasizing its capability to unravel the intricacies of energy deposition and dose distribution at the micrometric scale. The application of microdosimetry emerges as a valuable tool in optimizing BNCT protocols and advancing our comprehension of radiation effects in targeted cancer therapy. (Source: Health and Technology)
Source: Health and Technology - February 28, 2024 Category: Information Technology Source Type: research
Introducing a new approach for calibrating radiotherapy room lasers without using external laser source or dedicated phantoms
ConclusionOur new approach for laser alignment was performed and evaluated successfully. This method can provided a more accurate procedure than the conventional method without needing an external laser source or dedicated laser alignment phantom. (Source: Health and Technology)
Source: Health and Technology - February 28, 2024 Category: Information Technology Source Type: research
Artificial intelligence in the treatment of cancer: Changing patterns, constraints, and prospects
ConclusionsWe conclude by summarizing the challenges and possible future directions —along with their limitations—of AI-assisted anticancer medication research in the context of cancer. The application of AI in cancer research has a significant future in prognostication and decision-making given the expanding tendency. (Source: Health and Technology)
Source: Health and Technology - February 24, 2024 Category: Information Technology Source Type: research
Evaluation of the accuracy of an artificial intelligence in identifying contraindications to exercise therapy - Comparison with and interrater reliability of physical therapists judgments
ConclusionThe study shows significant agreement between physical therapists and the AI, consistent with similar musculoskeletal studies. Various clinical characteristics highlight the importance of clinical reasoning and contraindication detection. In conclusion, advanced technologies such as decision support and expert systems could have a profound impact on clinical practice, improving accuracy, personalized exercises and telemedicine referrals for efficient care and improved patient decisions.Trial registration30.12.2021 via OSF Registries,https://doi.org/10.17605/OSF.IO/YCNJQ. (Source: Health and Technology)
Source: Health and Technology - February 20, 2024 Category: Information Technology Source Type: research
Unraveling the potential of brain-computer interface technology in medical diagnostics and rehabilitation: A comprehensive literature review
ConclusionsThis extensive review concludes that BCI technology has potential promise for rehabilitation. It shows that BCI technology has the potential to enhance traditional rehabilitation methods, especially in stroke recovery and spinal cord injury. Therefore, the paper shows that emerging technologies such as Artificial Intelligence (AI) have a great impact on the future of BCI technologies and applications. (Source: Health and Technology)
Source: Health and Technology - February 13, 2024 Category: Information Technology Source Type: research
Validation of an in-house developed therapeutic dosimetric software tool for the treatment of 177Lutetium-DOTATATE peptide receptor radionuclide therapy
ConclusionOn average the relative percentage difference between the cumulated activities and absorbed dose of the two software were 10.7%. (Source: Health and Technology)
Source: Health and Technology - February 13, 2024 Category: Information Technology Source Type: research
Unraveling the potential of brain-computer interface technology in medical diagnostics and rehabilitation: A comprehensive literature review
ConclusionsThis extensive review concludes that BCI technology has potential promise for rehabilitation. It shows that BCI technology has the potential to enhance traditional rehabilitation methods, especially in stroke recovery and spinal cord injury. Therefore, the paper shows that emerging technologies such as Artificial Intelligence (AI) have a great impact on the future of BCI technologies and applications. (Source: Health and Technology)
Source: Health and Technology - February 13, 2024 Category: Information Technology Source Type: research
Identifying future high healthcare utilization in patients with multimorbidity – development and internal validation of machine learning prediction models using electronic health record data
ConclusionsThe final selected models per outcome can identify patients with future potentially preventable high healthcare utilization. However, identifying high-risk patients with MLTC and substantiating if they are most in need of integrated care remains challenging. Further research is warranted investigating whether patients with high healthcare utilization are indeed the most in need of integrated care and whether quantitively identified patients match the identification based on clinicians ’ experience and judgment. (Source: Health and Technology)
Source: Health and Technology - February 13, 2024 Category: Information Technology Source Type: research
Validation of an in-house developed therapeutic dosimetric software tool for the treatment of 177Lutetium-DOTATATE peptide receptor radionuclide therapy
ConclusionOn average the relative percentage difference between the cumulated activities and absorbed dose of the two software were 10.7%. (Source: Health and Technology)
Source: Health and Technology - February 13, 2024 Category: Information Technology Source Type: research
Identifying future high healthcare utilization in patients with multimorbidity – development and internal validation of machine learning prediction models using electronic health record data
ConclusionsThe final selected models per outcome can identify patients with future potentially preventable high healthcare utilization. However, identifying high-risk patients with MLTC and substantiating if they are most in need of integrated care remains challenging. Further research is warranted investigating whether patients with high healthcare utilization are indeed the most in need of integrated care and whether quantitively identified patients match the identification based on clinicians ’ experience and judgment. (Source: Health and Technology)
Source: Health and Technology - February 13, 2024 Category: Information Technology Source Type: research
Patient ’s skin dose estimation and investigation of factors for dose reduction in fluoroscopy guided procedures
ConclusionThe main contributor of patient ’s dose (i.e. SD) was patient thickness which cannot be regulated by the staff. Other factors that can be regulated by the staff to reduce patient’s dose were the fluoroscopy time for HSG and Rtr procedures and the use of smaller field size as possible without compromising the clinical outcome. (Source: Health and Technology)
Source: Health and Technology - February 12, 2024 Category: Information Technology Source Type: research
Early detection of dementia using artificial intelligence and multimodal features with a focus on neuroimaging: A systematic literature review
ConclusionsThe main findings of the study were that Alzheimer ’s disease and Mild Cognitive Impairment (MCI) are the most researched dementia types in the field; typical choice for dementia detection is Machine Learning (ML) methods; the most popular modalities combination is T1w + Fluorodeoxyglucose - Positron Emission Tomography (FDG-PET); accuracy, sensit ivity and specificity are the main evaluation metrics used by the researchers; k-fold validation is being used the most; Alzheimer’s disease neuroimaging initiative (ADNI) is the most used dataset by researchers; intensity and spacial normalization, skull stripping...
Source: Health and Technology - February 10, 2024 Category: Information Technology Source Type: research
