Published: Aug. 13, 2024
Language: Английский
Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(2), P. 550 - 550
Published: Jan. 16, 2025
The convergence of Artificial Intelligence (AI) and neuroscience is redefining our understanding the brain, unlocking new possibilities in research, diagnosis, therapy. This review explores how AI’s cutting-edge algorithms—ranging from deep learning to neuromorphic computing—are revolutionizing by enabling analysis complex neural datasets, neuroimaging electrophysiology genomic profiling. These advancements are transforming early detection neurological disorders, enhancing brain–computer interfaces, driving personalized medicine, paving way for more precise adaptive treatments. Beyond applications, itself has inspired AI innovations, with architectures brain-like processes shaping advances algorithms explainable models. bidirectional exchange fueled breakthroughs such as dynamic connectivity mapping, real-time decoding, closed-loop systems that adaptively respond states. However, challenges persist, including issues data integration, ethical considerations, “black-box” nature many systems, underscoring need transparent, equitable, interdisciplinary approaches. By synthesizing latest identifying future opportunities, this charts a path forward integration neuroscience. From harnessing multimodal cognitive augmentation, fusion these fields not just brain science, it reimagining human potential. partnership promises where mysteries unlocked, offering unprecedented healthcare, technology, beyond.
Language: Английский
Citations
11
Advances in healthcare information systems and administration book series, Journal Year: 2024, Volume and Issue: unknown, P. 156 - 179
Published: Feb. 9, 2024
This chapter explores transformative technologies and their application in supporting enhancing the lives of children diagnosed with fetal alcohol syndrome (FAS) autism spectrum disorders (ASD). These two neurodevelopmental disorders, characterized by a diverse range challenges symptoms, necessitate innovative tailored approaches for effective management support. emerging technological solutions, including artificial intelligence, augmented virtual reality, personalized medicine, which are revolutionizing way healthcare professionals approach diagnosis, treatment, therapy FAS ASD. It also discusses implications these creating adaptable treatment plans. By doing so, it offers glimpse into future pediatric where interventions highly to individual needs each child. Ethical considerations, challenges, direction context ASD critically analyzed.
Language: Английский
Citations
15
Diagnostics, Journal Year: 2024, Volume and Issue: 14(13), P. 1333 - 1333
Published: June 23, 2024
This study delves into the transformative potential of integrating augmented reality (AR) within imaging technologies, shedding light on this evolving landscape. Through a comprehensive narrative review, research uncovers wealth literature exploring intersection between AR and medical imaging, highlighting its growing prominence in healthcare. AR's integration offers host opportunities to enhance surgical precision, bolster patient engagement, customize interventions. Moreover, when combined with technologies like virtual (VR), artificial intelligence (AI), robotics, opens up new avenues for innovation clinical practice, education, training. However, amidst these promising prospects lie numerous unanswered questions areas ripe exploration. emphasizes need rigorous elucidate efficacy AR-integrated interventions, optimize workflows, address technological challenges. As healthcare landscape continues evolve, sustained efforts are crucial fully realizing impact imaging. Systematic reviews also overlook regulatory developmental factors, particularly regard devices. These include compliance standards, safety regulations, risk management, validation, processes. Addressing aspects will provide understanding challenges settings, informing stakeholders about considerations successful implementation. navigating approval process requires substantial financial resources expertise, presenting barriers entry smaller innovators. Collaboration across disciplines concerted overcome be essential frontier harnessing revolutionize delivery.
Language: Английский
Citations
11
Journal of Personalized Medicine, Journal Year: 2023, Volume and Issue: 14(1), P. 41 - 41
Published: Dec. 28, 2023
(Background) Autism increasingly requires a multidisciplinary approach that can effectively harmonize the realms of diagnosis and therapy, tailoring both to individual. Assistive technologies (ATs) play an important role in this context hold significant potential when integrated with artificial intelligence (AI). (Objective) The objective study is analyze state integration AI ATs autism through review. (Methods) A review was conducted on PubMed Scopus, applying standard checklist qualification process. outcome reported 22 studies, including 7 reviews. (Key Content Findings) results reveal early yet promising interest integrating into assistive technologies. Exciting developments are currently underway at intersection robotics, as well creation wearable automated devices like smart glasses. These innovations offer substantial for enhancing communication, interaction, social engagement individuals autism. Presently, researchers prioritizing innovation over establishing solid presence within healthcare domain, where issues such regulation acceptance demand increased attention. (Conclusions) As field continues evolve, it becomes clear will pivotal bridging various domains, positioned act crucial connectors.
Language: Английский
Citations
20
Diagnostics, Journal Year: 2024, Volume and Issue: 14(9), P. 939 - 939
Published: April 30, 2024
This study investigates, through a narrative review, the transformative impact of deep learning (DL) in field radiotherapy, particularly light accelerated developments prompted by COVID-19 pandemic. The proposed approach was based on an umbrella review following standard checklist and qualification process. selection process identified 19 systematic studies. Through analysis current research, highlights revolutionary potential DL algorithms optimizing treatment planning, image analysis, patient outcome prediction radiotherapy. It underscores necessity further exploration into specific research areas to unlock full capabilities technology. Moreover, emphasizes intricate interplay between digital radiology revealing how advancements one can significantly influence other. interdependence is crucial for addressing complex challenges advancing integration cutting-edge technologies clinical practice. Collaborative efforts among researchers, clinicians, regulatory bodies are deemed essential effectively navigate evolving landscape By fostering interdisciplinary collaborations conducting thorough investigations, stakeholders fully leverage power enhance care refine therapeutic strategies. Ultimately, this promises usher new era personalized optimized radiotherapy improved outcomes.
Language: Английский
Citations
9
Cell Reports Medicine, Journal Year: 2025, Volume and Issue: unknown, P. 101916 - 101916
Published: Jan. 1, 2025
Language: Английский
Citations
1
Algorithms, Journal Year: 2024, Volume and Issue: 17(10), P. 432 - 432
Published: Sept. 27, 2024
The rapid advancement of artificial intelligence (AI) technology has catalyzed unprecedented innovation in the healthcare industry, transforming medical practices and patient care. However, this progress brings significant ethical challenges, highlighting need for a comprehensive exploration algorethics—the intersection algorithm design considerations. This study aimed to conduct narrative review reviews field algorethics with specific key questions. utilized standardized checklist reviews, including ANDJ Narrative Checklist, ensure thoroughness consistency. Searches were performed on PubMed, Scopus, Google Scholar. revealed growing emphasis integrating fairness, transparency, accountability into AI systems, alongside development. importance collaboration between different domains scientific production, such as social sciences standardization (like IEEE), development guidelines is significantly emphasized, demonstrated direct impact health domain. gaps persist, particularly lack evaluation methods challenges posed by complex sectors like healthcare. findings underscore robust data governance prevent biases highlight cross-disciplinary creating frameworks AI. important applications domain, there increase attention, focus addressing issues seeking both practical theoretical solutions. Future research should prioritize establishing AI, fostering interdisciplinary collaboration, developing sector-specific guidelines, exploring AI’s long-term societal impacts, enhancing training developers. Continued attention emerging standards also crucial aligning technologies evolving principles.
Language: Английский
Citations
5
Healthcare, Journal Year: 2024, Volume and Issue: 12(6), P. 615 - 615
Published: March 8, 2024
The expanding role of technology assessment in telemedicine is the focus this study. An umbrella review has been proposed to delve into emerging themes within by scrutinizing systematic reviews gathered from PubMed and Scopus. approach was based on a standard narrative checklist qualification process. selection process identified 20 reviews. main findings underscore transformative potential telemedicine, emphasizing assessments focused evaluations, stakeholder engagement, societal impact recognition, targeted interventions, structured frameworks. While offering valuable insights, current studies highlight certain limitations that require attention. There need for following: (I) First all, more approach, primarily centered process-centric, multidomain, generalizable (TA). (II) A deeper analysis specific healthcare areas, including comprehensive examination cost–benefit ratio, peer-to-peer interactions, broader inclusion diagnostic technologies. (III) Greater emphasis involved stakeholders, ranging patients stakeholders. In conclusion, study contributes nuanced understanding continually evolving landscape assessment, insights practitioners, researchers, policymakers alike. Researchers are encouraged further explore both established
Language: Английский
Citations
4
Robotics, Journal Year: 2024, Volume and Issue: 13(5), P. 69 - 69
Published: April 30, 2024
The integration of Virtual Reality with radiology is the focus this study. A narrative review has been proposed to delve into emerging themes within in by scrutinizing reviews gathered from PubMed and Scopus. approach was based on a standard checklist qualification process. selection process identified 20 studies. Integration (VR) offers potential transformative opportunities also integrated other technologies. In medical education, VR AR, using 3D images radiology, can enhance learning, emphasizing need for standardized integration. combined Artificial Intelligence (AI) Augmented (AR) shows promising prospectives give complimentary contribution diagnosis, treatment planning, education. Challenges clinical User Interface design must be addressed. Innovations like modeling AI, enable personalized but face standardization challenges. While robotics play minor role, advancements perspectives are observed neurosurgery endovascular systems. Ongoing research efforts crucial maximizing these integrative technologies healthcare. conclusion, synthesis findings underscores digital healthcare through VR. However, challenges exist, continuous research, coupled technological refinements, imperative unlock full approaches dynamic evolving field imaging.
Language: Английский
Citations
4
Psychiatry Research Neuroimaging, Journal Year: 2025, Volume and Issue: 349, P. 111969 - 111969
Published: March 13, 2025
Language: Английский
Citations
0