Keywords: Laibach; International Theater Festival MESS; music; interview;
Interview with Laibach by Aida Adžović.
More...
Keywords: Leon Eckard; media artist; virtual space; music; audio processing; interview;
Interview with Leon Eckard by Marija Mitrović.
More...
Keywords: Music; music composer; personally style; inspiration; musical movements and genres;
In previous centuries, music was often confined within the boundaries of a predominant aesthetic. In today’s world, the musical landscape is permeated by a multitude of styles, genres, and aesthetics, offering us a wealth of diverse works to enjoy, ranging from the avant-garde compositions of Lachenmann to the energetic rock of AC/DC and the captivating pop of Beyoncé. This dynamic mosaic of musical expressions, which began at the turn of the 20th century with the simultaneous development of Impressionism, Dodecaphonism, jazz, and other influential movements and genres, brought both liberation and challenges to composers.
More...
Keywords: Constança Capdeville; music theatre; preservation; documentation; analog recordings; re-performance; audio signal processing;
In this article a group of authors will discuss the documentation process carried out by Filipa Magalhães during her PhD research, who gathered all possible materials concerning the music theatre work FE...DE...RI...CO... (1987) by Constança Capdeville. She created a more complete script (based on the information left by Capdeville, such as scores, texts, drawings, sketches with stage indications, scripts containing the main lines, and scripts for sound and light) aiming to document the several layers of information in order to systematize the work for archival purposes. The music theatre as a performative genre is a synthesis of multimedia artform that involves technological resources (for example the magnetic tape medium), which are aimed to be preserved, exploited, and valorized in order to make re-performance feasible. We will focus on the understanding of the difficulties and challenges found to bring this performance back from the archive to the stage.
More...
Keywords: AI; ChatGPT; bot; musicology; history of music; Serbian music;
This paper is dedicated to the analysis of the opera Third Bullet, composed by Vojislav Vučković. The opera and its composer, and all other data related to them, were generated by the text-based ChatGPT. Although the composer Vojislav Vučković is a person who actually existed, the one in focus here is fictional, or perhaps better yet, a synthesized figure, created somewhat like modern-day Pinocchio, “just like a real boy”. The main goal of the paper is to determine if this artificial historic figure is a relevant topic for musicological analysis, and what can we conclude from dealing with works that don’t really exist. My idea was to question the possibilities for the implementation of text-based Ais in musicological work and to raise awareness of this kind of synthetic history of music that is available to us.
More...
Keywords: artificial filmmaking; deep generative models; language-guided diffusion; short film computing; audiovisual composition; multimodal sequencing;
Language-guided generative models are increasingly used in audiovisual production. Image diffusion allows for the development of video sequences and some of its coordination can be established by text prompts. This research automates a video production pipeline leveraging CLIP-guidance with longform text inputs and a separate text-to-speech system. We introduce a method for producing frame-accurate video and audio summaries using a virtual timeline and document a set of video outputs with diverging parameters. Our approach was applied in the production of the film Irreplaceable Biography and contributes to a future where multimodal generative architectures are set as underlying mechanisms to establish visual sequences in time. We contribute to a practice where language modelling is part of a shared and learned representation which can support professional video production, specifically used as a vehicle throughout the composition process as potential videography in physical space.
More...
Keywords: integrated concerts; post-instrumental practice; transdisciplinary performance practices; curated concerts;
The Belgium-based Nadar Ensemble is a new music ensemble that specializes in performing curated and integrated concerts. In this case ‘integrated’ infers that all aspects of the concert are taken into consideration. Questioning, developing, and instrumentalizing video, light and sound design (including live electronics), costuming, decor, and even personnel such as a conductor and other roles typically inherent to an ensembles’ tradition, have become an integral part of Nadar’s and other similar ensembles’ concert programming. In this paper I will specifically lay out the manners in which the musicians of Nadar Ensemble approach what they have grown to see as their broadened instruments, including the use of live electronics, game controllers and newly made instruments. I will also discuss ideas surrounding the so-called ‘attacca concert’ and post-instrumental practice by delving into two cases, the event Dead Serious (2014) and the concert program Extensions (2015).
More...
Keywords: algorithmic music; musical embodiment; phenomenology; acoustic composition; contemporary music;
My composition, Flou for solo violin, is an attempt at cocomposition between the composer and the performer at embodying otherwise unidiomatic machine-learning generated materials. The piece touches on a broader compositional problem where historically, when algorithms were used as a means in itself, composers were often faced with tensions between the algorithm, the composer, and the performer. To contextualize further, Cage, Xenakis, and Boulez each came up with their own algorithmic processes and dealt with these tensions differently. Upon scrutinizing these composers’ methods, I observe that these tensions are usually resolved by enabling agency for either side of the humans involved. As in, Boulez deviates from his algorithm to follow his compositional instincts, Cage creates indeterminate scores for performers to interpret, and Xenakis adds ‘human touches’ to his ‘incomplete’ algorithm. Considering these kinds of tensions, Flou uses an open score with only algorithmic pitch notated, which I ask to be played using an octave-lower scordatura. The open score affords the performer’s freedom to react to the instability of the scordatura in non-pitch ways, and it is this tantalizing physical attempt at trying to play the algorithmic pitch that foregrounds the performer’s bodily presence in the performance.
More...
Keywords: musique concrète; technology; music of technology; electroacoustic music; Pierre Schaeffer; musical experience;
The critical examination in this paper should point to a shift in a perspective in understanding musique concrète (concrete music) in relation to its historical evaluation, viewing it as a music of technology. The paper is based on the hypothesis that each technology in its materiality and functionality shapes the outcomes that arise from it, which is ultimately aimed at looking for the ‘human’ in the ‘composer-technology’ dichotomy. That is where the reshaping of the musical experience takes place. But it should be noted that the technology share will be questioned through only a few aspects of concrete music, which is why there is an open possibility for further research problems.
More...
Keywords: The Musicological Society of the FBiH; Music in Society; music; history of music; conference report;
13th International Symposium “Music in Society”, Sarajevo, December 7–10, 2022.
More...
Keywords: ChatGPT; generative artificial intelligence; diagnostic algorithms; disease risk detection; personalized and targeted healthcare procedures; patient care safety and quality;
The aim of this systematic review is to synthesize and analyze generative artificial intelligence algorithms articulating specific treatment recommendations, clinical decision-making, correct diagnoses, patient outcomes, medical practices, and healthcare equity. In this research, prior findings were cumulated indicating that generative artificial intelligence tools automatically identify and segment various structures in medical images and enhance diagnostic accuracy and surgical planning. We carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout April 2023, with search terms including “generative artificial intelligence-based diagnostic algorithms” + “disease risk detection,” “personalized and targeted healthcare procedures,” and “patient care safety and quality.” As we analyzed research published in 2023, only 186 papers met the eligibility criteria. By removing controversial or unclear findings (scanty/unimportant data), results unsupported by replication, undetailed content, or papers having quite similar titles, we decided on 32, chiefly empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Distiller SR, ROBIS, and SRDR.
More...
Keywords: ChatGPT; generative artificial intelligence; clinical decision support; screening; prevention; treatment; medical care;
This article reviews and advances existing literature concerning how deep neural network-based generative artificial intelligence algorithms can optimize patient engagement by automated clinical history configuration and preexisting medical knowledge integration. In this research, previous findings were cumulated showing that ChatGPT complements clinical knowledge and experience in terms of relevant patient information and healthcare education quality assessment, effectiveness, usability, and accuracy, and I contribute to the literature by indicating that generative artificial intelligence tools and big data analytics further disease prevention, prognosis, and treatment, detecting intricate patterns and relationships by inspecting massive quantities of medical data. Throughout March 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “generative artificial intelligence-based clinical decision support” + “screening in medical care,” “prevention in medical care,” and “treatment choices in medical care.” As research published in 2023 was inspected, only 176 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, I selected 31 mainly empirical sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, MMAT, ROBIS, and SRDR.
More...
Keywords: ChatGPT; generative artificial intelligence; treatment planning; clinical decision-making; precision medicine; personalized healthcare;
The purpose of this study is to examine how ChatGPT can assist physicians and patients by inspecting complex datasets and producing personalized treatment recommendations. We contribute to the literature on how ChatGPT produce factually precise and contextually significant structured discussion feedback to elaborate and emerging clinical questions, by showing that generative artificial intelligence algorithms can be deployed as regards laboratory diagnostics, public health outbreak management, clinical decision support tools and trial data, patient care efficiency, and drug discovery. Throughout April 2023, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “generative artificial intelligence-based treatment planning” + “clinical decision-making,” “precision medicine,” and “personalized healthcare.” As we inspected research published in 2023, only 188 articles satisfied the eligibility criteria. By removing controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, we decided upon 40, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Dedoose, MMAT, and SRDR.
More...
Keywords: ChatGPT; generative artificial intelligence; healthcare system; medical imaging analysis; clinical decision support; patient engagement and monitoring;
The objective of this paper is to systematically review how generative artificial intelligence can enhance treatment accuracy and efficiency, patient communication and outcomes, clinical decision support, computer-aided detection and diagnosis processes, and medical imaging analysis. The findings and analyses highlight that ChatGPT and machine-learning-based expertise and judgment in personalized care can provide adequate treatment recommendations in conformity with the patient clinical presentation, disease severity, and co-diagnoses. Throughout March 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “generative artificial intelligence-driven healthcare systems” + “medical imaging analysis,” “clinical decision support,” and “patient engagement and monitoring.” As research published in 2023 was inspected, only 176 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, I selected 33 mainly empirical sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Dedoose, Distiller SR, and SRDR.
More...
Keywords: ChatGPT; healthcare generative artificial intelligence tool; medical diagnosis; treatment; prognosis;
This paper provides a systematic literature review of studies investigating how ChatGPT can be deployed in clinical decision support and practice, producing precise differential diagnosis lists and providing reliable disease and medical query-related information with regard to real-time monitoring and personalized treatment. The analysis highlights that generative artificial intelligence tools enable medical decision-making and analyze patient data, resulting in better patient outcomes and in enhanced access to care. Throughout March 2023, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “healthcare generative artificial intelligence tools” + “medical diagnosis,” “medical treatment,” and “medical prognosis.” As we inspected research published in 2023, only 174 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, we decided upon 38, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Distiller SR, MMAT, and ROBIS.
More...
Keywords: ChatGPT; generative artificial intelligence; diagnostic algorithm; patient data processing; medical image analysis system; healthcare risk assessment;
Based on an in-depth survey of the literature, the purpose of the paper is to explore how ChatGPT integrates therapy‐accompanying applications, disease‐ specific symptoms, clinical evaluation, decisions and diagnosis, healthcare risk assessment, and evidence‐based medical knowledge and history. In this research, previous findings were cumulated showing that ChatGPT can formulate coherent discharge summaries, significant evidence-based content, and detailed operative notes, integrating particular medications, consultation time, and follow-up instructions, and I contribute to the literature by indicating that ChatGPT can improve patient engagement, generate accurate and coherent medical reports, diminish errors and cognitive load, and configure abstract reasoning tasks and medical information contextualization. Throughout April 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “generative artificial intelligence-based diagnostic algorithms” + “patient data processing,” “medical image analysis systems,” and “healthcare risk assessment.” As research published in 2023 was inspected, only 169 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, I selected 28 mainly empirical sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Dedoose, Distiller SR, and SRDR.
More...
Keywords: ChatGPT; generative artificial intelligence; clinical decision support; patient data collection and analysis; physiological parameter monitoring; image-based disease diagnosis;
We draw on a substantial body of theoretical and empirical research on how ChatGPT is instrumental in clinical decision support, in medical record abstraction, and in treatment recommendation provision by inspecting massive quantities of patient data, that is an emerging topic involving much interest. In this research, prior findings were cumulated indicating that generative artificial intelligence technologies can assist in timely and accurate clinical diagnosis procedures and treatment planning, and in medical knowledge and support. We carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout March 2023, with search terms including “generative artificial intelligence-based clinical decision support” + “patient data collection and analysis,” “physiological parameter monitoring,” and “image-based disease diagnosis.” As we analyzed research published in 2023, only 173 papers met the eligibility criteria. By removing controversial or unclear findings (scanty/unimportant data), results unsupported by replication, undetailed content, or papers having quite similar titles, we decided on 44, chiefly empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Distiller SR, ROBIS, and SRDR.
More...
Keywords: ChatGPT; generative artificial intelligence; treatment planning; patient consultation and support; digital health interventions; medical practice and education;
Despite the relevance of how generative artificial intelligence technologies can improve medical education by integrating immersive and contextually relevant realistic healthcare simulations and providing personalized feedback to digital patients, only limited research has been conducted on this topic. In this article, I cumulate previous research findings indicating that ChatGPT can manage intricate medical and clinical information in diagnosis, treatment planning, and patient outcome monitoring. I contribute to the literature on how generative artificial intelligence algorithms can deploy visual information related to high-level decision-making questions and produce consistent results in clinical applications by showing that ChatGPT can be pivotal in healthcare services, in medical education processes, and in clinical reasoning tasks with regard to preventative measures and treatment options. Throughout April 2023, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “generative artificial intelligence-based treatment planning” + “patient consultation and support,” “digital health interventions,” and “medical practice and education.” As I inspected research published in 2023, only 180 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, I decided upon 34, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Meth- odological quality assessment tools include: AXIS, Dedoose, Distiller SR, and MMAT.
More...
Keywords: ChatGPT; generative artificial intelligence; healthcare system; patient record analysis; disease diagnosis and monitoring; customized treatment plans;
In this article, we cumulate previous research findings indicating that generative artificial intelligence tools further clinical documentation, formulate discharge summaries, generate procedure notes, answer specific questions, diagnose medical record-based conditions, and recommend treatment options and plans. We contribute to the literature on how clinical data configured by ChatGPT and machine learning algorithms can assist medical professionals in determining precise and informed diagnoses through clear and concise information by showing that generative artificial intelligence algorithms can improve treatment planning, provide clinical decision support efficiently, and summarize massive volumes of medical data. Throughout April 2023, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “generative artificial intelligence-driven healthcare system” + “patient record analysis,” “disease diagnosis and monitoring,” and “customized treatment plans.” As we inspected research published in 2023, only 191 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, we decided upon 49, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Dedoose, ROBIS, and SRDR.
More...
Keywords: ChatGPT; healthcare generative artificial intelligence tool; synthetic patient cases; medical image interpretation; diagnosis and treatment plan;
The present study systematically reviews the existing research on how artificial intelligence-based medical and digital health technologies can be deployed in disease and condition prevention, diagnosis, treatment, and monitoring. My findings indicate that, based on spatial computing techniques and pathology data, generative artificial intelligence algorithms can interpret medical images and handle patient data and symptoms. I contribute to the literature by clarifying that ChatGPT can assist in diagnosing medical conditions and in articulating physiological parameter monitoring and personalized healthcare services. Throughout March 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “healthcare generative artificial intelligence tools” + “synthetic patient cases,” “medical image interpretation,” and “diagnosis and treatment plans.” As research published in 2023 was inspected, only 171 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, I selected 26 mainly empirical sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Dedoose, Distiller SR, and SRDR.
More...
