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Telemedicine and diagnostic artificial intelligence: evolution, prospects, and social challenges

Penner, Regina

Abstract

This article examines the evolution of telemedicine as one of the key fields in modern medicine, utilizing information and communication technologies to provide medical services remotely. The study’s goal is to analyze the historical development of telemedicine and its impact on medical practice, as well as assess the prospects of using Diagnostic Artificial Intelligence (Diagnostic AI) in telemedicine. The research methodology includes discourse analysis, based on the works of Michel Foucault and Gilles Deleuze, allowing the examination of medical institutions as mechanisms for controlling and normalizing patient behavior. The study concludes that telemedicine significantly improves access to healthcare, reduces costs, and enhances treatment efficiency. Diagnostic AI represents a new phase in telemedicine, capable of accelerating and improving diagnostic processes, though its implementation is accompanied by significant ethical and social challenges. The novelty of this article lies in critically examining the role of telemedicine and diagnostic technologies in contemporary society, with a focus on their disciplinary functions and the influence on the relationships between patients and healthcare professionals. The conclusion emphasizes the importance of further study and regulation of Diagnostic AI in medical practice to minimize risks and ensure equitable access to healthcare.

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DOI: h p://doi.o g/10.12795/A gumen os/2024.i27.07 A gumen os de Razón Técnica, n.º 27, 2024, pp. 215-230 TELEMEDICINE AND DIAGNOSTIC ARTIFICIAL INTELLIGENCE: EVOLUTION, PROSPECTS, AND SOCIAL CHALLENGES TELEMEDICINA E INTELIGENCIA ARTIFICIAL DIAGNÓSTICA: EVOLUCIÓN, PERSPECTIVAS Y DESAFÍOS SOCIALES REGINA PENNER Sou h U al S a e Uni e si y, Russia penne . [email p o ec ed] h ps://o cid.o g/0000-0002-3277-7274 RECIBIDO: 30/09/2024 ACEPTADO: 15/11/2024 Abs ac : This a icle examines he e olu ion o elemedicine as one o he key ields in mode n medicine, u ilizing in o ma ion and communica ion echnologies o p o ide medical se ices emo ely. The s udy’s goal is o analyze he his o ical de elopmen o elemedicine and i s impac on medical p ac ice, as well as assess he p ospec s o using Diagnos ic A i icial In elligence (Diagnos ic AI) in elemedicine. The esea ch me hodology includes discou se analysis, based on he wo ks o Michel Foucaul and Gilles Deleuze, allowing he examina ion o medical ins i u ions as mechanisms o con olling and no malizing pa ien beha io . The s udy concludes ha elemedicine signi ican ly imp o es access o heal hca e, educes cos s, and enhances ea men e iciency. Diagnos ic AI ep esen s a new phase in elemedicine, capable o accele a ing and imp o ing diagnos ic p ocesses, hough i s implemen a ion is accompanied by signi ican e hical and social challenges. The no el y o his a icle lies in c i ically examining he ole o elemedicine and diagnos ic echnologies in con empo a y socie y, wi h a ocus on hei disciplina y unc ions and he in luence on he ela ionships be ween pa ien s and heal hca e p o essionals. The conclusion emphasizes he impo ance o u he s udy and egula ion o Diagnos ic AI in medical p ac ice o minimize isks and ensu e equi able access o heal hca e. Keywo ds: elemedicine; a i icial in elligence; diagnos ic a i icial in elligence; Google; AMIE; OpenAI; e olu ion; p ospec s; social challenges. REGINA PENNER A gumen os de Razón Técnica, n.º 27, 2024, pp. 215-230 216 Resumen: Es e a ículo examina la e olución de la elemedicina como uno de los campos cla e en la medicina mode na, u ilizando ecnologías de la in o mación y la comunicación pa a p opo ciona se icios médicos de o ma emo a. El obje i o del es udio es analiza el desa ollo his ó ico de la elemedicina y su impac o en la p ác ica médica, así como e alua las pe spec i as de uso de la In eligencia A i icial Diagnós ica (IA Diagnós ica) en la elemedicina. La me odología de in es igación incluye el análisis del discu so, basado en los abajos de Michel Foucaul y Gilles Deleuze, lo que pe mi e examina las ins i uciones médicas como mecanismos pa a con ola y no maliza el compo amien o del pacien e. El es udio concluye que la elemedicina mejo a signi ica i amen e el acceso a la a ención médica, educe los cos os y mejo a la e iciencia del a amien o. La IA diagnós ica ep esen a una nue a ase en la elemedicina, capaz de acele a y mejo a los p ocesos de diagnós ico, aunque su implemen ación es á acompañada de impo an es desa íos é icos y sociales. La no edad de es e a ículo adica en examina c í icamen e el papel de la elemedicina y las ecnologías de diagnós ico en la sociedad con empo ánea, con un en oque en sus unciones disciplina ias y la in luencia en las elaciones en e pacien es y p o esionales de la salud. La conclusión en a iza la impo ancia de segui es udiando y egulando la IA diagnós ica en la p ác ica médica pa a minimiza los iesgos y ga an iza un acceso equi a i o a la a ención médica. Palab as cla e: elemedicina; in eligencia a i icial; in eligencia a i icial diagnós ica; Google, AMIE; OpenAI; e olución; pe spec i as; e os sociales. In oduc ion. The Social Ins i u ion o Medicine The phenomenon o medicine and he discou se su ounding i a e no s a ic o comple e p ojec s; hey e ol e o e ime, ac oss a ious cul u es and socie ies. Fo ins ance, one majo e ela ion o Wes e n Eu opean socie y a he u n o he 19 h and 20 h cen u ies was he ecogni ion o emale sexuali y (e.g., in he wo ks o Sigmund F eud, such as “S udies on Hys e ia” o “Th ee Essays on he Theo y o Sexuali y”). Michel Foucaul , a guably he mos enowned “a chaeologis o knowledge,” p oposed he concep o he clinical gaze in his book “The Bi h o he Clinic” (Foucaul , 2003). Th ough his lens, we obse e a shi om iewing diseases TELEMEDICINE AND DIAGNOSTIC ARTIFICIAL INTELLIGENCE A gumen os de Razón Técnica, nº 27, 2024, pp. 215-230 217 as abs ac en i ies o s udying illness as some hing isible and diagnosable wi hin he human body. This ansi ion, on one hand, ans o ms he phenomenon o medicine i sel and i s social p esence, while on he o he hand, i se s he di ec ion o he discu si e p ac ices and social ela ions ha o m a ound i . Following Foucaul ’s insigh s, we can ace se e al s ages in he his o ical ans o ma ion o medical discou ses: 1) Classical Medicine (17 h – 18 h cen u ies): Cha ac e ized by a pu ely medical iew o disease, whe e diseases we e ea ed as indi idual en i ies, independen o he pa ien . Physicians, inspi ed by na u al sciences, aimed o classi y and sys ema ize diseases, much like bo anis s classi y plan s. Symp oms we e conside ed ex e nal mani es a ions o in e nal diseases, and he physician’s ask was o in e p e hese symp oms accu a ely. 2) Clinical Medicine (La e 18 h – Ea ly 19 h cen u ies): Du ing his pe iod, he clinic as a disciplina y ins i u ion was bo n. The ocus shi ed om abs ac diseases o he speci ic body o he pa ien , whe e diseases could be localized, connec ed o ce ain o gans and issues, and diagnosed, e en h ough dissec ion. This new pa adigm o bodily obse a ion con as ed wi h he pa ien ’s subjec i e expe ience. 3) Biopoli ics (19 h – 20 h cen u ies): Medicine became a ool o powe , aimed a con olling indi idual bodies and popula ions. A his s age, s a e heal hca e ins i u ions we e es ablished, se ing no only o ea pa ien s bu also as mechanisms o con olling public heal h (Foucaul , 2008). Fo example, psychia y o ms he unde s anding op ics h ough which he no ms o beha io and he deg ees o de ia ion om hem a e illumina ed; pa ien s o psychia ic clinics in such op ics a e ans o med in o objec s o disciplina y con ol, whe e he ask o medicine is no so much in ea men as in he no maliza ion o de ian beha io . In sum, medicine is in eg a ed in o he s a e machine, o ien ed owa d REGINA PENNER A gumen os de Razón Técnica, n.º 27, 2024, pp. 215-230 218 main aining and e en imp o ing he heal h o he na ion, bu mainly in s a is ical indica o s. La e , poin ing o he ansi ion om disciplina y sys ems o socie ies o con ol, G. Deleuze de eloped he Foucauldian concep , no ing he medicaliza ion o e e yday li e, when e e yday p ac ices (nu i ion, physical ac i i y, sleep) become objec s o medical a en ion, mo ing om he p i a e o he public sphe e, mo e accu a ely subjec o measu emen and con ol; and he echnologiza ion o medicine, as a esul o which medicine is ans o med in o a complex ne wo k, whe e heal h managemen is ca ied ou h ough in o ma ion pla o ms ha collec and analyze da a abou pa ien s in eal ime (Deleuze, 1992). This echnological u n is he implemen a ion o elemedicine, which is now a legi ima e a ea o medicine ha uses con empo a y in o ma ion and communica ion echnologies o p o ide medical se ices and pa ien consul a ions a a dis ance. Telemedicine has main ained i s ele ance o e he pas decade; he mos s iking illus a ion o his is s ill he COVID-19 pandemic, when access o adi ional heal h se ices became di icul a ound he wo ld. The so-called elemedicine “body” includes indi ec consul a ions, pa ien heal h moni o ing, eme gency cases and educa ional p og ams as in eg al elemen s. Fo example, consul a ions allow pa ien s o ecei e answe s o hei que ies om doc o s online, wi hou he need o di ec physical con ac . The impo ance o such a p ocedu e inc eases o people li ing in emo e o ha d- o- each a eas. Bu consul a ions also help educe he ac ual load on medical ins i u ions (sup a-indi idual u ili y) and educe he wai ing ime o an appoin men (indi idual u ili y). Dissemina ion o sma de ices ac oss indi idual households is ano he elemen o elemedicine. Using mobile de ices and senso s, pa ien s can emo ely moni o key heal h indica o s (blood p essu e, blood suga , hea a e). This da a is au oma ically ansmi ed o TELEMEDICINE AND DIAGNOSTIC ARTIFICIAL INTELLIGENCE A gumen os de Razón Técnica, nº 27, 2024, pp. 215-230 219 doc o s, which allows hem o p omp ly espond o de ia ions om he no m. In eme gency si ua ions, elemedicine echnologies allow he ic im o p omp ly con ac a doc o who can p o ide i s aid, gi e ecommenda ions o s abilizing he condi ion o decide on he need o hospi aliza ion. Mo eo e , oday elemedicine is inc easingly used o ain medical wo ke s. Online cou ses, webina s and o he educa ional esou ces help imp o e he quali ica ions o medical pe sonnel and in o m he popula ion. Telemedicine is a spec acula illus a ion o e ol ing disciplina y ins i u ions; i signi ican ly imp o es access o medical ca e o he gene al popula ion, educes heal h ca e cos s, and inc eases he e ec i eness o ea men . A he same ime, he need o ensu e he secu i y o pe sonal da a, p o ec pa ien p i acy, and s anda dize elemedicine se ices is g owing exponen ially. In addi ion, o e he pas i e yea s, non-human ac o s ha e inc easingly been included in he doc o -pa ien ela ionship. As ecen ly as he end o he 20 h cen u y, he unc ions o a machine in a medical con ex we e limi ed o analyzing he da a i ecei ed. Today, a machine claims o be a “specialis ” capable o p o iding p o essional se ices in consul ing a pa ien , diagnosing him, and suppo ing his ea men . Diagnos ic AI: A New Miles one in Telemedicine Opens New Challenges A i icial in elligence implemen ing diagnos ic goals in medical discou se (so-called Diagnos ic AI) is one o such agen s. Diagnos ic AI is one o he mos p omising a eas in medicine and in o ma ion echnology. I s applica ion co e s a ange o asks: om in e p e ing images and analyzing gene ic da a o p edic ing ea men esul s and suppo ing medical decisions. REGINA PENNER A gumen os de Razón Técnica, n.º 27, 2024, pp. 215-230 220 A i icial in elligence in medicine began wi h he i s expe sys ems in he 1960s. Howe e , a echnological leap has only been made in he las decade in he con ex o machine lea ning, in he a eas o deep lea ning and big da a p ocessing. Mode n AI-based diagnos ic sys ems a e able o analyze huge amoun s o da a, which signi ican ly exceeds human capabili ies, and p o ide doc o s wi h ecommenda ions based on his da a. One o he key b eak h oughs has been he de elopmen o AI sys ems o analyzing medical images. Fo example, a s udy by analys s om India showed ha such sys ems can iden i y pa hological changes in images wi h an accu acy compa able o o e en supe io o he capabili ies o expe ienced adiologis s ( he a icle speci ies ha sys ems ained on MRI o CT da a a e able o ecognize cance in he ea ly s ages, which signi ican ly inc eases he chances o success ul ea men ) (Ma hu e al., 2022). The use o AI in diagnos ics has a numbe o ob ious ad an ages. Fi s ly, i is he high speed and accu acy o da a p ocessing, which is especially impo an in he con ex o a sho age o quali ied medical pe sonnel and an inc easing bu den on heal hca e (Pin o-Coelho, 2023). Secondly, AI can help minimize he human ac o , which o en leads o diagnos ic e o s (Russell & No ig, 2021). Howe e , he implemen a ion o Diagnos ic AI is associa ed wi h a numbe o challenges and limi a ions. One o he main p oblems is he us o doc o s and pa ien s in AI sys ems. Ex ensi e clinical ials and ce i ica ion o such sys ems a e needed o ensu e hei eliabili y and sa e y. This o malizes he e hical p oblems in he use o AI in eal medical p ac ices, ounded, on he one hand, by he con iden iali y o pa ien da a, and on he o he hand, by he ques ion o he esponsibili y o AI o he decisions made (in gene al, abou he legi imacy o applying he c i e ia o esponsibili y o so wa e) (Flo idi, 2023). TELEMEDICINE AND DIAGNOSTIC ARTIFICIAL INTELLIGENCE A gumen os de Razón Técnica, nº 27, 2024, pp. 215-230 221 In any case, he e hical issues su ounding he use o diagnos ic AI ouch on se e al a eas a once. One o he key issues is ensu ing ai access o new echnologies. The e is a isk ha such sys ems will be used p edominan ly in de eloped coun ies, while de eloping coun ies may be le wi hou access o hese achie emen s ( he e y o mula ion o he p oblem epea s he classic plo o class s uggle, ansc ibed by McKenzie Wa k on he “hacke ” ma e ial (Wa k, 2004). An equally undamen al ques ion is who is esponsible o he decisions made by AI. I he sys em makes a mis ake, who will be held accoun able: he de elope s, he doc o s using he sys em, o he in elligen sys em i sel (Jobin, e al., 2019)? AMIE: P elimina y esul s o es ing he Google’s neu al ne wo k Diagnos ic AI is a e olu iona y ool ha has he po en ial o signi ican ly imp o e he quali y o medical ca e and make diagnos ics mo e accessible and accu a e. Howe e , success ully implemen ing AI in medical p ac ice equi es add essing a numbe o echnical, e hical, and social issues. A icula e Medical In elligence Explo e (AMIE), Google’s medical neu al ne wo k, demons a es his pa adox o echnological de elopmen and e hical u bulence. The de elopmen and es ing o AMIE, an inno a i e sys em based on la ge language models (LLM) designed o conduc medical diagnos ic dialogues, is discussed in he pape “Towa ds Con e sa ional Diagnos ic AI” by esea che s om Google Resea ch and Google DeepMind (Tu, e al., 2024). The au ho s de ine he goal o he s udy as he c ea ion o a i icial in elligence capable o imp o ing he a ailabili y and quali y o medical ca e by in oducing ad anced echnologies in o he diagnos ic p ocess and REGINA PENNER A gumen os de Razón Técnica, n.º 27, 2024, pp. 215-230 222 gene a ing AI ecommenda ions o he ea men o a speci ic pa ien (Tu, e al., 2024, p. 3). They cla i y ha dialogue be ween a doc o and a pa ien is he basis o medical p ac ice. Mo eo e , up o 80% o diagnoses a e made on he basis o anamnesis ob ained du ing communica ion wi h he pa ien (see, o example, Pe e son, 1992). Howe e , acco ding o expe s, he con empo a y heal hca e sys em a ound he wo ld aces many challenges, including a sho age o quali ied doc o s, especially in emo e and disad an aged a eas, as well as he high cos o medical se ices (see, o example, Roshan & Rao, 2000). In esponse o he iden i ied p oblems, he AMIE neu al ne wo k was de eloped, which uses a mode n a chi ec u e on LLM base. A he inpu AMIE ecei es ex in o ma ion in he o m o a ques ion o complain o he pa ien ; based on he ini ial in o ma ion and answe s o cla i ying ques ions a he ou pu he neu al ne wo k issues om wo diagnoses co esponding o he indica ed symp oms, cla i ies he mos p obable o hem and o e s he pa ien speci ic p esc ip ions. AMIE was ained using a ich da ase . These included eal medical dialogues o c ea e a da abase ha closely esembles eal- li e doc o -pa ien in e ac ions; mul iple-choice medical ques ions o imp o e AMIE’s abili y o gene alize and sol e clinical p oblems o a ying complexi y; and expe medical summa ies o p o ide a sys em wi h eliable and alida ed in o ma ion o diagnosis and decision-making (Tu, e al., 2024, p. 4–5). One o he key aspec s o AMIE aining was he sel -lea ning me hod, which is widely used in mode n neu al ne wo ks (see, o example, OpenAI, e al., 2024 o Google, 2024). In a simula ed en i onmen , AMIE in e ac s wi h o he AI agen s, simula ing in e ac ions wi h pa ien s and ecei ing cons an eedback. This allowed he sys em no only o eco d e o s, bu also o imp o e i s skills wi h each new dialogue, g adually mo ing owa ds he expe le el. To es he e ec i eness and accu acy o he AMIE sys em, a TELEMEDICINE AND DIAGNOSTIC ARTIFICIAL INTELLIGENCE A gumen os de Razón Técnica, nº 27, 2024, pp. 215-230 223 blinded s udy was conduc ed in which he sys em was compa ed wi h p ima y ca e physicians based on in e ac ions wi h “simula ed” pa ien s. The esul s showed ha AMIE demons a ed highe diagnos ic accu acy compa ed o doc o s di ec ly. In pa icula , he sys em ou pe o med physicians on 28 o 32 pe o mance indica o s assessed by expe s and on 24 o 26 indica o s assessed by simula o s playing he ole o pa ien s (Tu, e al., 2024, p. 12–15). These esul s con i m ha AMIE is capable o no only suppo ing high-quali y medical dialogues, bu also making a signi ican con ibu ion o imp o ing he quali y o diagnos ics, especially in cases whe e he physician may be limi ed in ime o esou ces. The au ho s o he s udy emphasize he ad an ages o using AMIE, including: 1) A ailabili y: AMIE can ope a e a ound he clock, p o iding suppo o pa ien s ega dless o ime and loca ion; 2. 2) Da a consis ency and objec i i y: he sys em minimizes human e o s associa ed wi h a igue, s ess, o pe sonal biases o medical pe sonnel; 3) Po en ial o lea ning and sel -imp o emen o he neu al ne wo k i sel : AMIE is able o adap o new da a and medical disco e ies, which makes i a p oduc i e ool in he con ex o cons an ly e ol ing medicine (Tu, e al., 2024, p. 17–21). A he same ime, he esea che s no ed se e al limi a ions iden i ied du ing he ope a ion o he neu al ne wo k. The key one was he ex in e ace on which AMIE was launched; messages abou he pa ien ’s condi ion in ex o ma we e a ed by doc o s as unusual and incon enien ; adi ional me hods o in e ac ion wi h pa ien s, di ec con e sa ion, emain amilia o hem. Despi e he success ul esul s in he simula ion, he au ho s poin ou he need o u he es ing o he sys em in eal condi ions o assess i s p ac ical applicabili y and sa e y. And in his case, as no ed ea lie , REGINA PENNER A gumen os de Razón Técnica, n.º 27, 2024, pp. 215-230 230 Google. (2024). PaLM 2. Technical Repo . h ps://ai.google/s a ic/documen s/palm2 ech epo .pd Jobin, A. e al. (2019). The Global Landscape o AI E hics Guidelines. Na u e Machine In elligence, 1(9), 389–399. h ps://doi.o g/10.1038/s42256-019-0088-2 Ma hu , P., Mish a, S., Awas hi, R., Cywinski, J., e al. (2022). A i icial In elligence in Heal hca e: 2021 Yea in Re iew. h ps://doi.o g/10.13140/RG.2.2.25350.24645/1 OpenAI, e al. (4 Ma . 2024) GPT-4 Technical Repo . h p://a xi .o g/abs/2303.08774 Pe e son, M. C., Holb ook, J. H., Von Hales, D., Smi h, N. & S ake , L. (1992). Con ibu ions o he his o y, physical examina ion, and labo a o y in es iga ion in making medical diagnoses. Wes e n Jou nal o Medicine, 156, 163. Pin o-Coelho, L. (2023). How A i icial In elligence Is Shaping Medical Imaging Technology: A Su ey o Inno a ions and Applica ions. Bioenginee ing, 10(12), 1435. h ps://doi.o g/10.3390/bioenginee ing10121435 PRIME S udy P og ess Upda e (2024). Second Pa icipan . h ps://neu alink.com/blog/p ime-s udy-p og ess-upda e-second- pa icipan / Roshan, M., & Rao, A. (2000). A s udy on ela i e con ibu ions o he his o y, physical examina ion and in es iga ions in making medical diagnosis. The Jou nal o he Associa ion o Physicians o India, 48, 771–775. Russell, S., & No ig, P. (2021). A i icial In elligence: A Mode n App oach. Pea son. S auman, E., & Goodie , B. (2011). The Doc o (s) in House: An Analysis o he E olu ion o he Tele ision Doc o -He o. Jou nal o Medical Humani ies, 32(1), 31–46. h ps://doi.o g/10.1007/s10912- 010-9124-2. TELEMEDICINE AND DIAGNOSTIC ARTIFICIAL INTELLIGENCE A gumen os de Razón Técnica, nº 27, 2024, pp. 215-230 231 Tu, T., Palepu, A., Schaeke mann, M., Saab, K., e al. (10 Jan. 2024). Towa ds Con e sa ional Diagnos ic AI. h p://a xi .o g/abs/2401.05654 Wa k, Mc. (2004). A Hacke Mani es o. Ha a d Uni e si y P ess.