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  1. Article: Technology and orthopaedic surgeons.

    Vaishya, Raju / Haleem, Abid

    Journal of orthopaedics

    2022  Volume 34, Page(s) 414–415

    Abstract: Modern and innovative technologies are rapidly penetrating the clinical practices of Orthopaedic Surgeons. The ones that have proved successful for clinical use are Additive Manufacturing/3D printing, Artificial Intelligence, Robotics, Smart sensors, and ...

    Abstract Modern and innovative technologies are rapidly penetrating the clinical practices of Orthopaedic Surgeons. The ones that have proved successful for clinical use are Additive Manufacturing/3D printing, Artificial Intelligence, Robotics, Smart sensors, and Orthobiologics. Industry 5.0 revolution has helped provide personalised treatment by integrating machines and human beings. In this special issue, we present a collection of excellent articles on these technologies.
    Language English
    Publishing date 2022-08-17
    Publishing country India
    Document type Editorial
    ZDB-ID 2240839-3
    ISSN 0972-978X
    ISSN 0972-978X
    DOI 10.1016/j.jor.2022.08.018
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Three-Dimensional (3D) scanning applications for COVID-19 pandemic

    Abid Haleem / Mohd Javaid

    Current Medicine Research and Practice, Vol 12, Iss 2, Pp 92-

    2022  Volume 93

    Keywords Medicine ; R
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Wolters Kluwer Medknow Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Industry 4.0 and its applications in dentistry.

    Haleem, Abid / Javaid, Mohd

    Indian journal of dental research : official publication of Indian Society for Dental Research

    2021  Volume 31, Issue 5, Page(s) 824–825

    MeSH term(s) Dentistry ; Industry ; Occupations
    Language English
    Publishing date 2021-01-12
    Publishing country India
    Document type Letter
    ZDB-ID 1354886-4
    ISSN 1998-3603 ; 0970-9290
    ISSN (online) 1998-3603
    ISSN 0970-9290
    DOI 10.4103/ijdr.IJDR_904_18
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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  4. Article ; Online: Digital Twin applications toward Industry 4.0

    Mohd Javaid / Abid Haleem / Rajiv Suman

    Cognitive Robotics, Vol 3, Iss , Pp 71-

    A Review

    2023  Volume 92

    Abstract: Digital Twin is a virtual representation of objects, processes, and systems that exist in real-time. While Digital Twin can represent digital objects, they are often used to connect the physical and digital worlds. This technology plays a vital role in ... ...

    Abstract Digital Twin is a virtual representation of objects, processes, and systems that exist in real-time. While Digital Twin can represent digital objects, they are often used to connect the physical and digital worlds. This technology plays a vital role in fulfilling various requirements of Industry 4.0. It gives a digital image of a factory's operations, a communications network's activities, or the movement of items through a logistics system. This paper studies Digital Twin and its need in Industry 4.0. Then the process and supportive features of Digital Twin for Industry 4.0 are diagrammatically discussed, and finally, the major applications of Digital Twin for Industry 4.0 are identified. Digital Twin sophistication depends on the process or product represented and the data available. Manufacturers can learn how assets will behave in real-time, in the physical world, by putting sensors on particular assets, gathering data, creating digital duplicates, and employing machine intelligence. They can confidently make wise judgments, which helps improve company performance. Digital Twin assesses material usage to save costs, discover inefficiencies, replicate tool tracking systems, and do other things. Manufacturers construct a digital clone for specific equipment and tools, exclusive products or systems, entire procedures, or anything else they want to improve on the factory floor. Sensors and other equipment that collect real-time data on the state of the process or product collect this information, which on the other hand, must be handled and processed appropriately. It is made feasible by IoT sensors, which collect data from the physical environment and transmit it to be virtually recreated. This information comprises design and engineering details that explain the asset's shape, materials, components, and behaviour or performance.
    Keywords Digital Twin ; Applications ; Industry 4.0 ; Virtual ; Digital representation ; Features ; Electronic computers. Computer science ; QA75.5-76.95
    Subject code 670
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher KeAi Communications Co. Ltd.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: ChatGPT for healthcare services

    Mohd Javaid / Abid Haleem / Ravi Pratap Singh

    BenchCouncil Transactions on Benchmarks, Standards and Evaluations, Vol 3, Iss 1, Pp 100105- (2023)

    An emerging stage for an innovative perspective

    2023  

    Abstract: Generative Pretrained Transformer, often known as GPT, is an innovative kind of Artificial Intelligence (AI) which can produce writing that seems to have been written by a person. OpenAI created this AI language model called ChatGPT. It is built using ... ...

    Abstract Generative Pretrained Transformer, often known as GPT, is an innovative kind of Artificial Intelligence (AI) which can produce writing that seems to have been written by a person. OpenAI created this AI language model called ChatGPT. It is built using the GPT architecture and is trained on a large corpus of text data to respond to natural language inquiries that resemble a person’s requirements. This technology has lots of applications in healthcare. The need for accurate and current data is one of the major obstacles to adopting ChatGPT in healthcare. GPT must have access to precise and up-to-date medical data to provide trustworthy suggestions and treatment options. It might be accomplished by ensuring that the data used by GPT is received from reliable sources and that the data is updated regularly. Since sensitive medical information would be involved, it will also be crucial to consider privacy and security issues while utilising GPT in the healthcare industry. This paper briefs about ChatGPT and its need for healthcare, its significant Work Flow Dimensions and typical features of ChatGPT for the Healthcare domain. Finally, it identified and discussed significant applications of ChatGPT for healthcare. ChatGPT can comprehend the conversational context and provide contextually appropriate replies. Its effectiveness as a conversational AI tool makes it useful for chatbots, virtual assistants, and other applications. However, we see many limitations in medical ethics, data interpretation, accountability and other issues related to the privacy. Regarding specialised tasks like text creation, language translation, text categorisation, text summarisation, and creating conversation systems, ChatGPT has been pre-trained on a large corpus of text data, and somewhat satisfactory results can be expected. Moreover, it can also be utilised for various Natural Language Processing (NLP) activities, including sentiment analysis, part-of-speech tagging, and named entity identification.
    Keywords ChatGPT ; Applications ; Healthcare ; Treatment ; Education ; Learning ; Science ; Q ; Engineering (General). Civil engineering (General) ; TA1-2040
    Subject code 410
    Language English
    Publishing date 2023-02-01T00:00:00Z
    Publisher KeAi Communications Co. Ltd.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article: Artificial intelligence-based orthopaedic perpetual design.

    Akhtar, Md Nahid / Haleem, Abid / Javaid, Mohd / Mathur, Sonu / Vaish, Abhishek / Vaishya, Raju

    Journal of clinical orthopaedics and trauma

    2024  Volume 49, Page(s) 102356

    Abstract: Background and aims: Integrating Artificial Intelligence (AI) methodologies in orthopaedic surgeries is becoming increasingly important as it optimises implant designs and treatment procedures. This research article introduces an innovative approach ... ...

    Abstract Background and aims: Integrating Artificial Intelligence (AI) methodologies in orthopaedic surgeries is becoming increasingly important as it optimises implant designs and treatment procedures. This research article introduces an innovative approach using an AI-driven algorithm, focusing on the humerus bone anatomy. The primary focus of this work is to determine implant dimensions tailored to individual patients.
    Methodology: We have utilised Python's DICOM library, which extracts rich information from medical images obtained through CT and MRI scans. The algorithm generates precise three-dimensional reconstructions of the bone, enabling a comprehensive understanding of its morphology.
    Results: Using algorithms that reconstructed 3D bone models to propose optimal implant geometries that adhere to patients' unique anatomical intricacies and cater to their functional requirements. Integrating AI techniques promotes enhanced implant designs that facilitate enhanced integration with the host bone, promoting improved patient outcomes.
    Conclusion: A notable breakthrough in this research is the ability of the algorithm to predict implant physical dimensions based on CT and MRI data. The algorithm can infer implant specifications that align with patient-specific bone characteristics by training the AI model on a diverse dataset. This approach could revolutionise orthopaedic surgery, reducing patient waiting times and the duration of medical interventions.
    Language English
    Publishing date 2024-02-03
    Publishing country India
    Document type Journal Article
    ZDB-ID 2596956-0
    ISSN 2213-3445 ; 0976-5662
    ISSN (online) 2213-3445
    ISSN 0976-5662
    DOI 10.1016/j.jcot.2024.102356
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Effects of COVID-19 pandemic on medical equipment's/devices supply chain

    Abid Haleem / Mohd Javaid / Shahbaz Khan

    Current Medicine Research and Practice, Vol 12, Iss 3, Pp 140-

    2022  Volume 142

    Keywords Medicine ; R
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Wolters Kluwer Medknow Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Differentiating the SARS-CoV-2 Omicron (B.1.1.529) variant from other COVID-19 variants of concerns and the common cold

    Chetan Dixit / Abid Haleem / Mohd Javaid

    Apollo Medicine, Vol 19, Iss 1, Pp 70-

    2022  Volume 71

    Keywords Medicine ; R
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Wolters Kluwer Medknow Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article: Impact of industry 4.0 to create advancements in orthopaedics.

    Javaid, Mohd / Haleem, Abid

    Journal of clinical orthopaedics and trauma

    2020  Volume 11, Issue Suppl 4, Page(s) S491–S499

    Abstract: Scientists and health professional are focusing on improving the medical sciences for the betterment of patients. The fourth industrial revolution, which is commonly known as Industry 4.0, is a significant advancement in the field of engineering. ... ...

    Abstract Scientists and health professional are focusing on improving the medical sciences for the betterment of patients. The fourth industrial revolution, which is commonly known as Industry 4.0, is a significant advancement in the field of engineering. Industry 4.0 is opening a new opportunity for digital manufacturing with greater flexibility and operational performance. This development is also going to have a positive impact in the field of orthopaedics. The purpose of this paper is to present various advancements in orthopaedics by the implementation of Industry 4.0. To undertake this study, we have studied the available literature extensively on Industry 4.0, technologies of Industry 4.0 and their role in orthopaedics. Paper briefly explains about Industry 4.0, identifies and discusses the major technologies of Industry 4.0, which will support development in orthopaedics. Finally, from the available literature, the paper identifies twelve significant advancements of Industry 4.0 in orthopaedics. Industry 4.0 uses various types of digital manufacturing and information technologies to create orthopaedics implants, patient-specific tools, devices and innovative way of treatment. This revolution is to be useful to perform better spinal surgery, knee and hip replacement, and invasive surgeries.
    Language English
    Publishing date 2020-03-18
    Publishing country India
    Document type Journal Article
    ZDB-ID 2596956-0
    ISSN 2213-3445 ; 0976-5662
    ISSN (online) 2213-3445
    ISSN 0976-5662
    DOI 10.1016/j.jcot.2020.03.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Unlocking the opportunities through ChatGPT Tool towards ameliorating the education system

    Mohd Javaid / Abid Haleem / Ravi Pratap Singh / Shahbaz Khan / Ibrahim Haleem Khan

    BenchCouncil Transactions on Benchmarks, Standards and Evaluations, Vol 3, Iss 2, Pp 100115- (2023)

    2023  

    Abstract: Artificial Intelligence (AI)-based ChatGPT developed by OpenAI is now widely accepted in several fields, including education. Students can learn about ideas and theories by using this technology while generating content with it. ChatGPT is built on State ...

    Abstract Artificial Intelligence (AI)-based ChatGPT developed by OpenAI is now widely accepted in several fields, including education. Students can learn about ideas and theories by using this technology while generating content with it. ChatGPT is built on State of the Art (SOA), like Deep Learning (DL), Natural Language Processing (NLP), and Machine Learning (ML), an extrapolation of a class of ML-NLP models known as Large Language Model (LLMs). It may be used to automate test and assignment grading, giving instructors more time to concentrate on instruction. This technology can be utilised to customise learning for kids, enabling them to focus more intently on the subject matter and critical thinking ChatGPT is an excellent tool for language lessons since it can translate text from one language to another. It may provide lists of vocabulary terms and meanings, assisting students in developing their language proficiency with resources. Personalised learning opportunities are one of ChatGPT’s significant applications in the classroom. This might include creating educational resources and content tailored to a student’s unique interests, skills, and learning goals. This paper discusses the need for ChatGPT and the significant features of ChatGPT in the education system. Further, it identifies and discusses the significant applications of ChatGPT in education. Using ChatGPT, educators may design lessons and instructional materials specific to each student’s requirements and skills based on current trends. Students may work at their speed and concentrate on the areas where they need the most support, resulting in a more effective and efficient learning environment. Both instructors and students may profit significantly from using ChatGPT in the classroom. Instructors may save time on numerous duties by using this technology. In future, ChatGPT will become a powerful tool for enhancing students’ and teachers’ experience.
    Keywords Artificial Intelligence ; ChatGPT ; Education ; Students ; Teaching ; Learning ; Science ; Q ; Engineering (General). Civil engineering (General) ; TA1-2040
    Subject code 370
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher KeAi Communications Co. Ltd.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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