Artificial Intelligence Technologies in Healthcare: Diagnosis, Intervention and Ethical Integration | Book Publisher International

 

The rapid advancement of Artificial Intelligence (AI) technologies has initiated a paradigm shift in healthcare, particularly in the realms of medical diagnosis and treatment. This study provides a comprehensive academic examination of how AI, through subfields such as machine learning, deep learning, and natural language processing, is revolutionising clinical decision-making, diagnostic precision, and individualised patient care. The work systematically explores AI's integration into key healthcare domains, including medical imaging, predictive analytics, personalised medicine, and robotic surgery. Specific attention is given to the application of convolutional neural networks (CNNs) in radiology, pathology, and dermatology, where AI systems now rival human experts in diagnostic accuracy.

 

Furthermore, this research highlights the predictive power of AI in identifying the onset of chronic and neurodegenerative diseases by leveraging electronic health records (EHRs), genomic data, and wearable technologies. In personalised medicine, AI facilitates pharmacogenomic profiling and individualised oncology treatment strategies. The integration of AI in surgical robotics is also examined, emphasising improvements in intraoperative precision and post-operative monitoring.

 

While the potential of AI is vast, the study also addresses significant challenges, including data privacy, algorithmic bias, lack of transparency, and regulatory hurdles. Ethical and legal considerations are critically analyzed, underscoring the need for fair, interpretable, and accountable AI systems. The final chapters focus on future directions, such as multimodal data integration, explainable AI (XAI), federated learning, and human-AI collaboration, which are poised to shape the next generation of healthcare solutions.

 

This research concludes with policy recommendations and strategic priorities to guide responsible AI deployment in clinical environments, advocating for interdisciplinary collaboration and robust governance frameworks. The findings underscore AI’s transformative potential in medicine, while emphasizing the importance of ethical oversight and equity in technological advancement.

 

 

Author(s) Details

Dr. Rooth Vasantha Medapati
Human Genetics Department, Andhra University, Visakhapatnam, Andhra Pradesh, India.

 

Dr. V.Raja Babu
Sun Institute of Paramedical Sciences, Pendurthi, Visakhapatnam, Andhra Pradesh, India.

 

Prof. Saritha Medapati
Vignan Institute of Pharmaceutical Technology, Duvvada, Visakhapatnam, Andhra Pradesh, India.

 

Dr. D.Udaya Kumar
Human Genetics Department, Andhra University, Visakhapatnam, Andhra Pradesh, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/mono/978-81-989371-9-3

Difficult Airway and Robotic Surgery: Dual Challenge to Anaesthesiologist | Chapter 13 | Research Developments in Medicine and Medical Science Vol. 9

 Hemangioma is ultimate common benign tumour of vascular inception. Risk of rupture and bleeding poses risk to ventilating pipe. Fibreoptic intubation (FOI) to secure airway can be a valuable alternative in such a sketch. Steep Trendelenberg’s position with pneumoperitoneum in robotic resection causes respiratory changes accompanying airway oedema and congestion. Here, we present a case report of a 56-old age-old male patient the one underwent a robotic radical cystectomy accompanying ileal conduit and urethrectomy on account of a massive congenital spoken cavity birthmark and primary urothelial neoplasm of the pouch. We point out the importance of difficult airway administration by using fibre visual technique in such cases difficult by steep Trendelenburg’s position required all the while robotic surgeries.

Author(s) Details:

Khevna Kapadia,
Surat Municipal Institute of Medical Education and Research, Medical College, Surat, Gujarat-395007, India, Government Medical College, Surat, Gujarat-395007, India and Department of Anaesthesia and Pain Managemnent, Sir H N Reliance Foundation Hospital and Research Centre, Prarthana Samaj, Girgaon, Mumbai-400004 (Maharashtra), India.

Sheetal Shah,
Department of Anaesthesia and Pain Managemnent, Sir H N Reliance Foundation Hospital and Research Centre, Prarthana Samaj, Girgaon, Mumbai-400004 (Maharashtra), India and Fellow of Pain Management from Sydney, Australia.

Hemant Mehta,
Department of Anaesthesia and Pain Managemnent, Sir H N Reliance Foundation Hospital and Research Centre, Prarthana Samaj, Girgaon, Mumbai-400004 (Maharashtra), India and Department of Anaesthesia and Pain Management, Kem Hospital and SGS Medical College, Mumbai-400012 (Maharashtra) India.

Misha Mehta,
D. Y. Patil University, Mumbai-400706, India.

Please see the link here: https://stm.bookpi.org/RDMMS-V9/article/view/10427

A Review on Minimally Invasive Right Colectomy from Conventional Laparoscopic Resection to Robotic-Assisted Surgery | Chapter 1 | Recent Developments in Medicine and Medical Research Vol. 12

 The goal of robotic-assisted abdominal surgery was to overcome the limitations of the traditional laparoscopic technique. The current narrative review compares the short and long-term results, costs, and learning curve of laparoscopic versus robotic-assisted techniques for right colectomy (RC). The main technical issues of using robotic assistance for this treatment are explored in further detail. The introduction of next-generation optics (3D, 4K) and more ergonomic instruments can be seen as a step forward in terms of technical facilitation. Because of the unique vascular structure of the right and middle colics, minimally invasive RC is considered technically tough. Due to the high prices and operating times, robotic RC has failed to gain traction. Its use, on the other hand, may have advantages in terms of short-term clinical outcomes and facilitates the acquisition of basic surgical skills, thus shortening the learning curve of minimally invasive colorectal surgery.

Author(S) Details

Dilip M. Chafle
Research Centre of Taywade College, Koradi, Dist. Nagpur (441111), India.

Carmen Payá-Llorente
Department of General and Digestive Surgery, Hospital Universitario Doctor Peset, Valencia, Spain.

Lelde Lauka
Department of Digestive and Hepatobiliary Surgery, Henri-Mondor Hospital, University Paris Est-Créteil – UPEC, Créteil, 94010, France.

Elisa Reitano
Department of Digestive and Hepatobiliary Surgery, Henri-Mondor Hospital, University Paris Est-Créteil – UPEC, Créteil, 94010, France.

Riccardo Memeo
Department of Emergency and Organ Transplantation, University Aldo Moro of Bari, Bari, Italy.

Paschalis Gavriilidis
Department of Hepato-Biliary-Pancreatic and Oesophago-Gastric Surgery, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London W12 0HS, UK.

Francesco Brunetti
Department of Digestive and Hepatobiliary Surgery, Henri-Mondor Hospital, University Paris Est-Créteil – UPEC, Créteil, 94010, France.

Aleix Martínez-Pérez
Department of General and Digestive Surgery, Hospital Universitario Doctor Peset, Valencia, Spain.

View Book:- https://stm.bookpi.org/RDMMR-V12/article/view/4667

Robot-assisted Minimally Invasive Thoracic Surgery in Children: "Experience and Current Scenario" | Chapter 11 | Recent Developments in Medicine and Medical Research Vol. 5

 The goal of this chapter is to provide our experience with robotic-assisted minimally invasive thoracic surgery (MITS) in children. In addition, a current scenario analysis is conducted on this topic.

From March 2015 to April 2019, observational, prospective, and longitudinal studies were conducted on children with thoracic pathology treated with robotic surgery. The "Da Vinci surgical system" was employed (Intuitive Surgical, Inc., Sunnyvale, CA. USA). Demographic information, diagnosis, surgery, console surgery time, bleeding, hemotransfusions, conversions, complications, postoperative (PO) stay, and follow-up were all recorded factors. The researchers used central tendency measures. The study was authorised by the Hospital's Research Ethics Committee. We did a non-systematic evaluation of existing articles of children who had thoracic robotic surgery.

We treated 11 youngsters, who were on average 5.7 years old and weighed 21.3 kg. Congenital cystic adenomatoid malformation, intralobar sequestration, diaphragmatic paralysis, diaphragmatic eventration, mediastinal teratoma, Ewing's tumour of the fourth left rib, and pulmonary tuberculosis were all identified as diagnoses. Four lobectomies, four diaphragmatic plications, two tumour resections, and one case of pleural and lung biopsies were performed. The average duration for console operation was 166.45 minutes, the usual PO stay was 3.6 days, and the average follow-up was 24.7 months. There were 9.1% conversions and PO problems, but no intraoperative complications or mortality. The number of published paediatric cases treated using robot-assisted thoracic surgery (RATS) is currently hovering around 170.

Conclusion: Our findings seem promising, despite the fact that our expertise is restricted to a few cases. The use of robotic surgery to treat paediatric thoracic disease is practical, safe, and beneficial. To date, just a few patients have been treated, and only a few paediatric surgeons have used thoracic robotic surgery in children around the world.

In the future, further miniaturisation of technology will be required to treat youngsters with less weight, which is currently a restriction. In the future years, more robotic systems will hit the market, with wrist instruments with a diameter of 5mm or less.

Robotic surgery using minirobots that conduct surgical tasks via remote control may appear to be science fiction, but the future of true minimally invasive surgery (MIS) is yet ahead of us.

Author (S) Details

Mario Navarrete-Arellano

Department of Pediatric Surgery, Hospital Central Militar, SEDENA, Mexico City 11200, Mexico and Hospital Angeles Lomas, Vialidad de la Barranca 240, Hacienda de las Palmas, Huixquilucan, 52763, Estado de Mexico, Mexico. 

View Book :- https://stm.bookpi.org/RDMMR-V5/article/view/4206

Study about Artificial Intelligence: An Approach towards Robots and Philosophy in Surgery | Chapter 15 | Recent Developments in Medicine and Medical Research Vol. 1

 So much progress has been made in AI (Artificial Intelligence) in just two years... The first person who comes to mind is mathematician Alan Turing, who finished a philosophising on a dilemma in which a part feigned not to be present with: Writing papers that could be the cornerstone of current computer technology [1]. The term AI (Artificial Intelligence) encompasses all efforts to provide computer systems with certain capabilities [2]. The issue fascinates and even terrifies you, because conflict inevitably occurs as events unfold and potential threats loom. It's not so much that AI (artificial intelligence) unlocks a door that was previously closed (if a philosophical analogy can be made), but rather that it reveals a fundamental issue, namely its proper development. The goal of instilling intricate values like justice, kindness, and love into an intelligent machine is already difficult, but progress is being made. What would Turing think of a machine that can think for itself?

High-performance machines are already used in medicine and will continue to be used in the future. "Robots will be used more commonly in the operating room in 10 years," says Jess Moreno, a doctor from the Spanish Society for Laparoscopic and Robotic Surgery. 4 The revised history of robotic surgery [3] began with the PUMA 560 (° r), which evolved into two prototypes for prostatectomy and trauma surgery, PROBOT (° r) and ROBODOC (° r). The AESOP is a robotic arm that carries a laparoscopic camera in an endoscopic system for abdominal surgery. The ZEUS (° R) robot came at the turn of the century, expanding its range of applications to include urological integration. The Zeus robot is a three-armed robot with a left and right arm that mimic the surgeon's arms, as well as a third arm controlled by an AESOP voice command. The DA VINCI (° r) robotic surgical system, which consists of three components: a visualisation trolley, a surgeon's station (arms with seven sliding areas and a computer system with three-dimensional views), and a mobile car, was developed in this manner (with more arms). The SRI (Standford Research Institute) developed this robot, with the first version hitting the market in 1997 [4] and receiving FDA approval. Its disadvantage may be that it is still a massive robot with numerous connections.

Robotic surgery has advanced dramatically in the twenty-first century, both in terms of models and sizes.

It's also rather impressive. (I'd go so far as to say it's terrifying) Or how about Isaac Asimov, the author? When he released I Robot in 1950, he was still a long way from the digital age. Today, the two of them could be witnesses to AI (artificial intelligence) in all of its forms, acting as digital assistants not only for mobile phones, but also for social media platforms like Facebook, Microsoft, and Google [5].

But, as Nick Bostrom cautioned in an interview earlier this year, "be careful."

If we can't control it, we risk giving way to the reality of a super-intelligent system that prioritises the attainment of its own values over ours [6]. Before this interview, the Swedish philosopher had previously suggested something about superintelligence two years ago.

Author(S) Details

Jaime Hinzpeter
Department of Traumatology, Clinical Hospital, University of Chile, Chile.

View Book:- https://stm.bookpi.org/RDMMR-V1/article/view/4082